Machine Learning Engineer Job Description Template

An effective description can help you hire the best fit for your job. Check out our tips to provide details that skilled professionals are looking for.

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Machine Learning Engineer Job Description Template

A machine learning engineer is responsible for designing and implementing advanced machine learning models and algorithms to solve real-world problems. Working with data scientists and software engineers, machine learning engineers bridge the gap between data science and software engineering, building scalable ML systems that use large datasets to drive insights and automation. They rely on tools like TensorFlow, PyTorch, and scikit-learn to design, deploy, and optimize models that operate on big data.

Use this machine learning engineer job description template to attract candidates skilled in programming languages like Python and Java, familiar with machine learning frameworks, and capable of collaborating across cross-functional teams. Find top machine learning talent on Upwork to meet your business's AI needs.

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Job Overview

We are seeking a dedicated machine learning engineer to join our team and work on cutting-edge AI projects. This role involves building data pipelines, designing ML models, and collaborating closely with stakeholders to implement solutions that enhance business operations. The ideal candidate will have a bachelor's degree or master's degree in computer science or a related field and years of experience in developing machine learning systems and data engineering.

Key Responsibilities

As a machine learning engineer, your primary responsibilities include:

Designing and developing machine learning models. Build scalable machine learning models using TensorFlow, Keras, and PyTorch to drive insights and automation.
Implementing data pipelines. Construct data pipelines that handle large datasets, ensuring data is processed and available for ML model training.
Collaborating across teams. Work with team members, including data scientists, data analysts, and software engineers, to align objectives and build solutions that meet business goals.
Optimizing model performance. Use statistical analysis and fine-tuning techniques to maximize model performance in real-world applications.
Developing prototypes. Create prototypes to test and iterate on model concepts, preparing them for deployment.
Managing machine learning systems. Deploy, monitor, and maintain machine learning systems to ensure reliable, efficient operations.
Implementing feature engineering. Develop and optimize features from raw data to improve model performance and accuracy in machine learning systems.
Automating model training and deployment. Use automation tools to streamline the model training and deployment process, enhancing efficiency and scalability.
Continuous learning and skill improvement. Stay updated on the latest machine learning frameworks and programming languages to bring innovative solutions to the team.

Qualifications and Skills

To excel in the machine learning engineer role, candidates should have:

A bachelor's degree or master's degree in computer science, data science, or a related field
3-5 years of experience in machine learning, data engineering, or software development
Strong proficiency in Python and Java, as well as other programming languages used in machine learning
Experience with TensorFlow, PyTorch, Keras, and scikit-learn
Data handling skills and be proficient in data structures, data modeling, and data visualization
Analytical skills and a strong background in statistical analysis and data analysis to support model training and evaluation
Problem-solving skills to address complex problems and develop innovative solutions for business needs
Excellent communication skills for working with stakeholders and translating technical concepts
Familiarity with Spark, Hadoop, and AWS to process and manage big data

About Our Company

[Company Name] is a leader in artificial intelligence and data science, focusing on transformative, data-driven solutions that power industry advancements. Our team thrives on a collaborative culture, pushing the boundaries of technology to deliver impact. If you're passionate about machine learning and enjoy working on cutting-edge projects, join us to advance your career as part of a forward-thinking company.

What does a machine learning engineer do?

A machine learning engineer develops, optimizes, and deploys ML models, including neural networks and advanced deep learning architectures, to solve business challenges using data-driven approaches. Collaborating closely with data scientists and software engineers, they create scalable machine learning systems that automate tasks, generate insights, and enhance decision-making.

Leveraging machine learning frameworks like TensorFlow and PyTorch, they build sophisticated models, process large datasets, and continuously improve model accuracy and efficiency to meet the demands of real-world applications. Through expertise in neural networks, they enable solutions for complex, high-impact tasks that drive business innovation.

Machine learning engineer duties and responsibilities

The role of a machine learning engineer encompasses several core duties aimed at developing and enhancing ML systems. Key responsibilities include:

Designing machine learning algorithms. Develop and test machine learning algorithms to address business needs, ensuring high accuracy and scalability.

Building data pipelines. Design and manage data pipelines that handle large datasets, data preprocessing, feature engineering, and efficient data flow to ensure high-quality input for machine learning models.
Optimizing models. Use tools like scikit-learn and Keras to fine-tune models for enhanced model performance.
Collaborating across teams. Work with data scientists, software developers, and other stakeholders to align on project goals and development milestones.
Automating model training and deployment. Implement automation for model retraining and testing to reduce manual workload and improve productivity.
Communicating with stakeholders. Explain technical concepts to stakeholders, ensuring alignment on model goals and outcomes.

Keeping up with industry trends. Stay informed on the latest in deep learning, reinforcement learning, and natural language processing advancements.

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4 Factors to Consider When Creating an Machine Learning Engineer Job Description That Fits Your Needs

There are many AI machine learning engineers out there, so you must understand what you need before hiring. Below are some factors to help you choose the right fit for your company:

Type of AI Machine Learning Engineer

AI machine learning engineers are generally skilled in several core competencies, but they often specialize in a specific type of AI engineering. That can be something as simple as AI machine learning and vision engineering or as complex as manufacturing AI machine learning and statistical analysis engineering.

The Position

When you’re reaching out to hire someone for a job, it’s vitally important to know exactly what you’re looking for and how they can provide it. For that reason, it is important to set clear expectations from day one and maintain clear communication.

If you’re looking for someone who will create purpose-built AI but you don’t need to know every detail about how it works or why it works, you can save time by letting them know this up front and updating them should things change.

Experience

When you’re evaluating potential candidates for your AI machine learning engineer, you’ll be hard-pressed to find people with decades of expertise in the field.

Applied AI engineering and sciences have made massive progress leaps during the past few years, resulting in an enormous need for skilled engineers and programmers.

As a result of this demand, the market was flooded with talent, but there’s still not enough to go around. The veterans are often closely tied to their current employers or projects. Expert AI machine-learning engineers may desire an engineer salary due to their high-quality skills and heavy time investment in the field.

Industry

When you’re seeking to hire an AI machine learning engineer, you need to know what industries they usually operate in.

This will help determine their expertise topics and levels. Hiring a data engineer from the medical sector may not be the best fit when you’re looking to build a legal-focused AI assistant for sifting through case documents.

Next Steps

So you’re now ready to begin looking for an AI machine learning engineer. Great engineers can be found on Upwork.

Their qualifications are listed along with their experience, giving you all the information about your perfect fit.

Machine Learning Engineer Hiring Resources

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Hire Machine Learning Engineers

Machine Learning Engineers you can meet on Upwork

$55 hourly
Austin F.
- 5.0
- (7 jobs)
Brandon, MS
Machine Learning
Amazon Web Services
QA Automation
GPT API
Data Visualization
Unit Testing
Data Analytics
Rust
ML Automation
PyTorch
pandas
Data Science
Python

I have seven years experience solving complex data problems by quickly mastering the right tools for each project. My business philosophy is to provide solutions that generate value for the client long after I deliver them. I'm constantly undergoing rigorous study to better understand and integrate evolving technologies to offer more comprehensive support to my clients. I can help implement: - various types of automation, including quality assurance automation - certain cloud solutions with GCP, AWS, and Microsoft AzureML - data transformations - machine learning models - dashboards - command-line interfaces - financial analyses - spreadsheet solutions (Google Sheets and Excel) - various types of interactive visualizations - software modules (in particular, I'm currently learning to build Python modules in Rust for faster performance) I have formal training as an engineer up to the Master's level. I also have training from past full-time roles as research engineer and data analyst. I attribute much of my current skills to ongoing self-study using online resources such as Packt and O'Reilly technology and business training. As a research engineer, I developed experimental machine learning models with Python and wrote corresponding technical reports. These efforts were also the subject of my graduate work. As a data analyst, I collected and analyzed data from solar energy infrastructure projects and conducted external market research to determine future project viability in different regions. Since joining Upwork, I have assisted clients with various ML and data engineering tasks. As mentioned earlier, I am currently training to be a full-stack solutions architect with both coding and strategic planning offerings.
$55 hourly
Anna B.
- 4.7
- (5 jobs)
Tbilisi, TB
Machine Learning
FastAPI
Deep Learning
OpenCV
Image Segmentation
Image Processing
Computer Vision
Python
PyTorch
Named-Entity Recognition
Transformer Model
Hugging Face
Model Tuning
Natural Language Processing
Vector Database
GPT-4
OpenAI API
LLM Prompt Engineering
Large Language Model
Retrieval Augmented Generation

Senior ML/AI Engineer with 6+ years of experience. I'm comfortable taking projects from scratch to production on my own - RAG, NLP, or CV. What I specialize in: - RAG & LLM systems: retrieval pipelines, vector search, cross-encoder rerankers, GPT-4 and self-hosted LLMs - NLP: transformer fine-tuning (BERT), NER, spans extraction, sentiment analysis, Graph Neural Networks - Computer Vision: detection, segmentation, fine-tuning, C++ inference - Production ML: FastAPI, Docker, MongoDB, SQL, end-to-end pipelines from research to API Selected projects: - Product matching for e-commerce (sole engineer) - designed and built a universal matching system for catalogs with different schemas. Built a hybrid approach with priority logic, two-stage retrieval (FAISS + cross-encoder reranker), and on-the-fly attribute alignment. Tested embedding models for Russian, since most pretrained ones are focused on English. Matched ~60,000 client products with 96% accuracy. - News Q&A with RAG (sole engineer) - owned the full pipeline for a financial client: NER, sentiment, summarization at ingestion, query parsing, retrieval, grounded generation. Ran a cost analysis of the self-hosted LLM setup and suggested moving summarization to API - the change made the system cheaper without losing quality. - KYC entity risk system - fine-tuned transformers for NER and spans extraction on compliance data; built a Graph NN for risk scoring across entity relationships. Set up experiment tracking and result visualization end-to-end. - Product image recoloring for an e-commerce merch store (sole engineer) - needed to recolor thousands of product images at scale. Chose a classical CV approach over neural networks and OpenAI to keep processing affordable at scale. Delivered as an API service and generated ~5,000 new bag images in different colors. Tech stack: Python, C++, PyTorch, HuggingFace Transformers, FAISS, OpenAI API, FastAPI, Docker, MongoDB, SQL. Currently available for new projects. Open to RAG/LLM work, NLP, CV, and broader ML engineering - both short-term and long-term. Feel free to reach out with your project details.
$40 hourly
Rommelie L.
- 5.0
- (23 jobs)
Manila, METRO MANILA
Machine Learning
SQL
Amazon Web Services
CI/CD
Database
FastAPI
Next.js
LangChain
Node.js
React
Python
API Integration
Automation
AI Agent Development
Large Language Model
Mobile App
SaaS Development
AI Development
Web Development
Full-Stack Development

👋 Hello, dear client. Thanks for visiting my profile. I’m an AI/ML Engineer and Full-Stack Developer who helps startups and businesses build AI-driven, scalable, and production-ready solutions. I combine deep knowledge in machine learning, GenAI, and web app development to deliver fast, reliable, and measurable results. With my rich experience in AI and fullstack field built in my professional career, I'd like to provide innovative solutions that attribute success to crazy ideas and learn the ropes from it. ⚙️ Core Expertise 🤖 Artificial Intelligence / Machine Learning • Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, Transformers • Model design: time-series forecasting, sentiment analysis, recommendation engines, fraud detection 🚀 Generative AI & LLM Solutions • GPT, Llama, Gemini, Claude, BERT • RAG pipelines, Fine-tuning, Prompt Engineering • Vector Databases: Pinecone, FAISS, Weaviate • Custom Chatbots, AI Agents, Conversational Apps 💻 Full-Stack Web Development • Frontend: React, Next.js, Vue, Angular, TypeScript, Tailwind CSS • Backend: FastAPI, Node.js, PHP, Flask, Go, REST & GraphQL APIs • Databases: MySQL, PostgreSQL, MongoDB, Supabase, Firebase 🗜 Automation & Integration • n8n, Make, Zapier, Vapi • Business workflow automation and AI integration 🔧 DevOps & Cloud • Docker, AWS, GCP, CI/CD (GitHub Actions), Microservices, Scalability Optimization 💡 What I Can Build for You ✅ Custom ML models for predictions and insights ✅ LLM-powered chatbots or internal assistants ✅ AI agents connected to live data sources ✅ RAG-based knowledge retrieval systems ✅ Automated workflows for repetitive business tasks ✅ Full-stack AI SaaS platforms (React + FastAPI/Node) ✅ End-to-end deployment on AWS/GCP 🌟 Why Clients Choose Me • Strong background in both AI research and software engineering • Clean, modular, and scalable code following best practices • Clear communication and rapid delivery • Proven track record of building production-ready AI systems If you’re looking for a reliable AI/Full-Stack engineer who delivers both technical excellence and business impact, let’s connect. I’ll help you go from concept → prototype → production smoothly and efficiently.

$55 hourly
Austin F.
- 5.0
- (7 jobs)
Brandon, MS
Machine Learning
Amazon Web Services
QA Automation
GPT API
Data Visualization
Unit Testing
Data Analytics
Rust
ML Automation
PyTorch
pandas
Data Science
Python

I have seven years experience solving complex data problems by quickly mastering the right tools for each project. My business philosophy is to provide solutions that generate value for the client long after I deliver them. I'm constantly undergoing rigorous study to better understand and integrate evolving technologies to offer more comprehensive support to my clients. I can help implement: - various types of automation, including quality assurance automation - certain cloud solutions with GCP, AWS, and Microsoft AzureML - data transformations - machine learning models - dashboards - command-line interfaces - financial analyses - spreadsheet solutions (Google Sheets and Excel) - various types of interactive visualizations - software modules (in particular, I'm currently learning to build Python modules in Rust for faster performance) I have formal training as an engineer up to the Master's level. I also have training from past full-time roles as research engineer and data analyst. I attribute much of my current skills to ongoing self-study using online resources such as Packt and O'Reilly technology and business training. As a research engineer, I developed experimental machine learning models with Python and wrote corresponding technical reports. These efforts were also the subject of my graduate work. As a data analyst, I collected and analyzed data from solar energy infrastructure projects and conducted external market research to determine future project viability in different regions. Since joining Upwork, I have assisted clients with various ML and data engineering tasks. As mentioned earlier, I am currently training to be a full-stack solutions architect with both coding and strategic planning offerings.
$55 hourly
Anna B.
- 4.7
- (5 jobs)
Tbilisi, TB
Machine Learning
FastAPI
Deep Learning
OpenCV
Image Segmentation
Image Processing
Computer Vision
Python
PyTorch
Named-Entity Recognition
Transformer Model
Hugging Face
Model Tuning
Natural Language Processing
Vector Database
GPT-4
OpenAI API
LLM Prompt Engineering
Large Language Model
Retrieval Augmented Generation

Senior ML/AI Engineer with 6+ years of experience. I'm comfortable taking projects from scratch to production on my own - RAG, NLP, or CV. What I specialize in: - RAG & LLM systems: retrieval pipelines, vector search, cross-encoder rerankers, GPT-4 and self-hosted LLMs - NLP: transformer fine-tuning (BERT), NER, spans extraction, sentiment analysis, Graph Neural Networks - Computer Vision: detection, segmentation, fine-tuning, C++ inference - Production ML: FastAPI, Docker, MongoDB, SQL, end-to-end pipelines from research to API Selected projects: - Product matching for e-commerce (sole engineer) - designed and built a universal matching system for catalogs with different schemas. Built a hybrid approach with priority logic, two-stage retrieval (FAISS + cross-encoder reranker), and on-the-fly attribute alignment. Tested embedding models for Russian, since most pretrained ones are focused on English. Matched ~60,000 client products with 96% accuracy. - News Q&A with RAG (sole engineer) - owned the full pipeline for a financial client: NER, sentiment, summarization at ingestion, query parsing, retrieval, grounded generation. Ran a cost analysis of the self-hosted LLM setup and suggested moving summarization to API - the change made the system cheaper without losing quality. - KYC entity risk system - fine-tuned transformers for NER and spans extraction on compliance data; built a Graph NN for risk scoring across entity relationships. Set up experiment tracking and result visualization end-to-end. - Product image recoloring for an e-commerce merch store (sole engineer) - needed to recolor thousands of product images at scale. Chose a classical CV approach over neural networks and OpenAI to keep processing affordable at scale. Delivered as an API service and generated ~5,000 new bag images in different colors. Tech stack: Python, C++, PyTorch, HuggingFace Transformers, FAISS, OpenAI API, FastAPI, Docker, MongoDB, SQL. Currently available for new projects. Open to RAG/LLM work, NLP, CV, and broader ML engineering - both short-term and long-term. Feel free to reach out with your project details.
$40 hourly
Rommelie L.
- 5.0
- (23 jobs)
Manila, METRO MANILA
Machine Learning
SQL
Amazon Web Services
CI/CD
Database
FastAPI
Next.js
LangChain
Node.js
React
Python
API Integration
Automation
AI Agent Development
Large Language Model
Mobile App
SaaS Development
AI Development
Web Development
Full-Stack Development

👋 Hello, dear client. Thanks for visiting my profile. I’m an AI/ML Engineer and Full-Stack Developer who helps startups and businesses build AI-driven, scalable, and production-ready solutions. I combine deep knowledge in machine learning, GenAI, and web app development to deliver fast, reliable, and measurable results. With my rich experience in AI and fullstack field built in my professional career, I'd like to provide innovative solutions that attribute success to crazy ideas and learn the ropes from it. ⚙️ Core Expertise 🤖 Artificial Intelligence / Machine Learning • Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, Transformers • Model design: time-series forecasting, sentiment analysis, recommendation engines, fraud detection 🚀 Generative AI & LLM Solutions • GPT, Llama, Gemini, Claude, BERT • RAG pipelines, Fine-tuning, Prompt Engineering • Vector Databases: Pinecone, FAISS, Weaviate • Custom Chatbots, AI Agents, Conversational Apps 💻 Full-Stack Web Development • Frontend: React, Next.js, Vue, Angular, TypeScript, Tailwind CSS • Backend: FastAPI, Node.js, PHP, Flask, Go, REST & GraphQL APIs • Databases: MySQL, PostgreSQL, MongoDB, Supabase, Firebase 🗜 Automation & Integration • n8n, Make, Zapier, Vapi • Business workflow automation and AI integration 🔧 DevOps & Cloud • Docker, AWS, GCP, CI/CD (GitHub Actions), Microservices, Scalability Optimization 💡 What I Can Build for You ✅ Custom ML models for predictions and insights ✅ LLM-powered chatbots or internal assistants ✅ AI agents connected to live data sources ✅ RAG-based knowledge retrieval systems ✅ Automated workflows for repetitive business tasks ✅ Full-stack AI SaaS platforms (React + FastAPI/Node) ✅ End-to-end deployment on AWS/GCP 🌟 Why Clients Choose Me • Strong background in both AI research and software engineering • Clean, modular, and scalable code following best practices • Clear communication and rapid delivery • Proven track record of building production-ready AI systems If you’re looking for a reliable AI/Full-Stack engineer who delivers both technical excellence and business impact, let’s connect. I’ll help you go from concept → prototype → production smoothly and efficiently.
$5 hourly
Khayrul I.
- 5.0
- (2 jobs)
Dhaka, C
Machine Learning
Digital Marketing
Adobe Photoshop
Audio Transcription
Video Transcription
Video Annotation
Classification
Data Segmentation
Data Annotation
Computer Vision
Artificial Intelligence

Hello! 👋 I’m a Data Annotation Specialist with over 5 years of experience in providing high-quality, labeled datasets for AI & Machine Learning projects. I have worked with top platforms like CVAT, Labelbox, Roboflow, and SuperAnnotate, delivering precise annotations across various industries, including: 🚗 Autonomous Driving – Object detection, semantic segmentation, lane marking 🏥 Healthcare – Medical image labeling, disease detection datasets 🌾 Agriculture – Crop, pest, and plant disease annotation 🛍 E-commerce – Product tagging, categorization, and attribute labeling 🎥 Video Annotation – Tracking, activity recognition, and event labeling My Skills & Expertise: ✔ Image, Video, Text, & Audio Annotation ✔ Bounding Boxes, Polygon, Keypoint & Semantic Segmentation ✔ Quality Assurance (QA) of labeled data ✔ Annotation guideline creation & workflow optimization ✔ High accuracy with fast turnaround Why Work With Me? 💡 100% accuracy-focused annotations 💡 Proven experience with AI/ML dataset preparation 💡 Clear communication & timely delivery 💡 Ability to handle urgent, high-volume projects If you’re looking for reliable, detail-oriented data annotation support for your AI project, let’s connect and make your dataset project-ready!
$20 hourly
Salman M.
- 4.9
- (7 jobs)
Lahore, PB
Machine Learning
API Development
OCR Software
Chatbot Development
Object Detection
PyTorch
AI Agent Development
AI Model Integration
Natural Language Processing
AI Chatbot
Generative AI Software
Deep Learning
Generative AI
Artificial Intelligence
Image Processing
Python
Data Science
OpenCV
TensorFlow
Computer Vision

I build production-ready Computer Vision, Generative AI, and Data Science systems that solve real business problems, from object detection pipelines and LLM-powered RAG applications to intelligent AI agents that automate complex workflows. Top Rated AI/ML Engineer with 5+ years delivering end-to-end solutions using PyTorch, YOLO, LangChain, OpenAI API, and Anthropic API. I've shipped defect detection models for manufacturing floors, built RAG chatbots that sit on top of company knowledge bases, designed fraud detection pipelines for fintech clients, and deployed AI agents that replaced hours of manual work. Every project I take on goes from problem to working, deployed system, not just a Jupyter notebook. I communicate clearly, deliver on time, and care about your outcome as much as the tech behind it. 👁️ Computer Vision: • Object Detection & Tracking (YOLOv8, YOLOv9, YOLOv11, SSD, Faster R-CNN, DETR) • Image Segmentation (Semantic, Instance, Panoptic, SAM, SAM 2) • OCR & Intelligent Document Processing (TesseractOCR, EasyOCR, PaddleOCR, DocTR) • Face Recognition, Facial Attribute Analysis & Emotion Detection • Vision Language Models (CLIP, BLIP, Florence, GPT-4V, Gemini Vision) • Image Enhancement, Super-Resolution & Visual Search • Video Analysis & Real-time Object Tracking (DeepSORT, ByteTrack, BoT-SORT) • AI Image Generation & Editing (Stable Diffusion, ControlNet, Inpainting) • CNNs, Vision Transformers (ViT), EfficientNet & Transfer Learning • Visual Inspection & Defect Detection for Manufacturing & Quality Control • Medical Image Analysis & Document Parsing • Multimodal AI Systems (combining vision, text & audio) 🤖 Generative AI & LLMs: • RAG (Retrieval Augmented Generation) Pipelines & Knowledge Bases • LLM Fine-tuning (LoRA, QLoRA, PEFT, RLHF, DPO) • Prompt Engineering & Optimization • OpenAI API (GPT-4, GPT-4o, GPT-5), Anthropic API (Claude), Google Gemini • Open-source LLMs (Llama 3, Mistral, Qwen, Phi, DeepSeek, Gemma) via Hugging Face Transformers • Custom AI Chatbot Development & Virtual Assistants • LangChain, LlamaIndex, Haystack • AI Integration into Existing Systems & Workflows • Speech-to-Text (OpenAI Whisper) & Text-to-Speech (TTS, ElevenLabs) • Embedding Models & Vector Search • Document AI: Extraction, Parsing & Intelligent Processing 📊 Data Science & Machine Learning: • Exploratory Data Analysis (EDA) & Feature Engineering • Predictive Modeling, Forecasting & Predictive Analytics • Classical ML (XGBoost, LightGBM, CatBoost, Random Forest, SVM, KNN) • Time Series Analysis, Forecasting & Anomaly Detection • Classification, Regression & Clustering • Model Evaluation, Selection & Hyperparameter Tuning • Data Preprocessing, Cleaning & Wrangling • Data Visualization & Dashboards (Matplotlib, Seaborn, Plotly) • Fraud Detection & Risk Analysis • Recommendation Systems 🔄 AI Agents & Automation: • Agentic AI Workflows (LangGraph, CrewAI, AutoGen, Agno) • Multi-Agent Systems & Tool-Use Agents • Model Context Protocol (MCP) Integrations • AI-powered Workflow Automation (n8n, Make, Zapier) • End-to-end Pipeline Orchestration & AI Integration • Autonomous Task Execution & Decision-Making Systems • Voice AI Agents (VAPI, Bland AI) ✅ Tech Stack: ➼ Languages: Python ➼ ML/DL Frameworks: PyTorch, TensorFlow, Keras, Scikit-Learn, Hugging Face Transformers ➼ Computer Vision: OpenCV, Ultralytics (YOLO), PIL, TesseractOCR, EasyOCR, PaddleOCR, Roboflow ➼ GenAI / LLM: LangChain, LlamaIndex, LangGraph, OpenAI API, Anthropic API, Hugging Face ➼ Data & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scipy ➼ API & Deployment: Flask, FastAPI, Docker, Streamlit, Gradio ➼ Cloud: AWS (SageMaker, EC2, S3, Lambda), Azure, GCP ➼ Databases: Pinecone, ChromaDB, Faiss, Weaviate, PostgreSQL, MongoDB ➼ MLOps: MLflow, Weights & Biases, Model Versioning & Monitoring ➼ IDE: VS Code, PyCharm, Jupyter Notebook, Google Colab 🚀 Why work with me: Production-Focused: I don't just prototype, I ship deployed, working systems that integrate with your workflow and deliver measurable value. Results-Driven: Every project starts with your business goal. Whether it's automating visual inspection, building a smart chatbot, detecting fraud, or extracting insights from documents, the model is a means to your outcome. Modern & Current: The AI field moves fast and so do I. I stay on top of what actually works, LLMs, RAG, AI agents, vision-language models, multimodal AI, so your solution uses cutting-edge approaches, not outdated ones. Clear Communication: Top Rated with a strong Job Success track record. I communicate clearly, meet deadlines, and treat every project as a real partnership. 🤝 Let's work together to push the boundaries of what's possible!
$40 hourly
Samuel A.
- 5.0
- (2 jobs)
Ile-Ife, OSUN
Machine Learning
pandas
NumPy
Seaborn
Matplotlib
Data Visualization
Python Scikit-Learn
Python
Explainable AI
Model Fitting
Model Tuning
Model Deployment
Machine Learning Model
Data Analysis
Data Science

You don't just want a "black box" model. You want answers you can trust. I don't just build models; I build deployed, explainable, and reliable data science tools. I specialize in the complete end-to-end ML pipeline, from a messy CSV file to a live, interactive Streamlit app that provides your team with actionable, data-driven insights. My process focuses on Explainable AI (XAI). A model that's 99% accurate is useless if you can't understand why it's making its decisions. I use tools like SHAP to open the "black box" and show you exactly which features are driving your predictions. My 100% Job Success Score isn't just a number; it's my commitment to professionalism, clear communication, and delivering a polished, robust final product. My project works has given me deep, hands-on experience in the complete data science lifecycle. I am ready to apply these skills to your business. My Core Skills & Deliverables When you hire me, you are hiring a multi-faceted problem-solver. Here is the menu of my capabilities and the tangible products I deliver. Skills (The "How") Analysis & Strategy: -Data Auditing: I find the "lies" in your data—contradictory rows, logical fallacies, and hidden biases that will poison your model. -Deep EDA: I use correlation heatmaps and distribution plots to find and solve hidden problems like high multicollinearity. -Feature Engineering: I transform weak, redundant, or confusing features into new, powerful signals (e.g., combining Sales and Time into Sales_Velocity) that give your model a clear path to success. Modeling & Engineering: -Model "Bake-Offs": I test multiple models (e.g., Logistic Regression vs. Random Forest vs. XGBoost) to prove which one is actually the best tool for your specific problem. -Optimization for Imbalance: I am an expert in handling imbalanced datasets (like fraud or churn) by tuning decision thresholds using Precision-Recall Curves to catch rare, critical events. -Pipelines: I build robust, production-ready scikit-learn Pipelines that bundle all preprocessing and modeling into one clean, deployable object. Deliverables (The "What You Get") -A Deployed, Interactive Streamlit Web App A live, user-friendly application that your team can actually use to get real-time predictions. -A Full Data Analysis & EDA Report A comprehensive Jupyter Notebook or Medium article that tells the story of your data, explaining all insights and the "why" behind my design choices. -Model Explainability (XAI) Reports Clear, simple SHAP plots (waterfalls, bar charts) that answer the "why" and build trust in the model's decisions, allowing you to take confident action. -A Clean, Version-Pinned Deployment Kit A production-ready requirements.txt or environment.yml file. This is the "blueprint" that guarantees your app will work perfectly on a server without the AttributeError crashes that plague beginner projects. Why Choose Me? 1. End-to-End Builder, Not Just an Analyst. You get a tangible, deployed, and usable tool, not just a theoretical notebook. I am a problem-solver who can handle the entire process from data cleaning to app deployment. 2. Explainability & Trust Expert. My specialty is opening the "black box." I don't just give you a score; I give you the reason, using SHAP to build trust and deliver actionable insights. 3. Proven Professionalism & Reliability. As a freelancer with a 100% Job Success Score, I am a reliable, communicative, and organized professional. I deliver polished, documented, and robust solutions on time. Ready to Work Together? Do you have complex data that needs to be transformed into actionable insights? Or perhaps you have a model stuck in a Jupyter Notebook that your team can't actually use? I'm here to help. I specialize in turning data problems into deployed, automated solutions. Send me a message about your project. Let's work together to turn your data into your most valuable asset. You have data. I build the tools to turn it into decisions. Let's talk.
$95 hourly
Vano E.
- 5.0
- (9 jobs)
Vanadzor, LORI
Machine Learning
C++
Node.js
JavaScript
Laravel
PHP
TypeScript
GraphQL
SQL
Java
IT Consultation
Deep Learning
Linux System Administration
Deep Neural Network
Python

⭐⭐⭐⭐⭐ I’m an AI & Automation Systems Architect with a strong background in full-stack engineering, Python development, machine learning, and DevOps. I focus on building intelligent systems that optimize how businesses operate by connecting tools, data, and workflows through automation and AI. I don’t just build applications. I design and implement systems where processes are automated, information is structured, and AI supports real operational decisions. What I Do ✔️ Analyze and optimize business workflows and information flow ✔️ Design AI-driven automation systems for operations ✔️ Build end-to-end automations using APIs, webhooks, and automation platforms ✔️ Integrate LLMs and machine learning models into real business workflows ✔️ Architect scalable backends, APIs, and data pipelines ✔️ Connect databases, CRMs, and tools into unified intelligent systems ✔️ Set up DevOps, CI/CD, containerization, and cloud infrastructure ✔️ Maintain, optimize, and scale existing systems Technical Expertise ✔️ Python, JavaScript, SQL ✔️ Django, Flask, React, Node.js ✔️ Machine Learning, LLM integration, embeddings, RAG architectures ✔️ PostgreSQL, MySQL, MongoDB, Redis ✔️ Automation platforms, API orchestration, webhooks ✔️ Docker, Kubernetes, CI/CD, AWS, GCP, Azure Approach I start by understanding how your current processes work. Then I design the system architecture. Then I implement automation and AI at the points where it creates measurable impact. The result is a reliable, AI-assisted operational system that improves efficiency and reduces manual work. Want to work together? I’d love to hear from you!
$45 hourly
Karlen M.
- 5.0
- (8 jobs)
Yerevan, YEREVAN
Machine Learning
Cloud Architecture
MySQL
Next.js
Node.js
React Native
TypeScript
Mobile App
Software Development
WordPress e-Commerce
Squarespace
AWS Amplify
PostgreSQL
React
Serverless Computing
Shopify
Web Development
JavaScript
Python

Software Engineer, a Ph.D. candidate in computer science For the past 9 years, I have been working as a software engineer and have hands-on experience with different kinds tech stacks and modern architectures. Tech stack: • Cloud Platforms - AWS, GCP • Databases - Postgesql, DynamoDB, Elastic Search, Redis, Mongo DB, AWS Cloudsearch, Firbase • Languages - NodeJS, Python, Java, C++ • UI - ReactJS, Redux, Redux-Saga, Redux-Thunk, Svelte • Datalake - AWS Quiqsight, AWS Athena, AWS Glue, AWS S3 Skilled in Object-Oriented Programming (OOP), JavaScript, SQL, Java, C++ & Machine Learning. Strong engineering professional who graduated from the Institute for Informatics and Automation Problems. I continuously develop my knowledge and skills in new technologies, keep up with the latest versions and methods. Having genuine passion and interest for programming and software development, I successfully solve different challenges and problems. Contact me and let’s discuss more details and our possible further cooperation! Can work in preferred timezone. Interested in Full Time and Long Term projects.
$50 hourly
Oleh V.
- 5.0
- (3 jobs)
Lviv, LVIV OBLAST
Machine Learning
MLOps
Data Engineering
AI Consulting
AI Chatbot
AI Bot
AI Agent Development
Data Analysis
Statistics
Data Science
Supervised Learning
Unsupervised Learning
Natural Language Generation
Natural Language Processing
Computer Vision
PyTorch
OpenCV
Keras
TensorFlow
Python

Motivated and ambitious AI Engineer with almost 8 years of valuable experience in researching and developing industrial projects. My expertise includes developing, evaluating, and debugging Machine Learning algorithms, Data Analysis, Data Engineering, AI Agentic Engineering, MLOps, DevOps AWS platform, Databricks. I have successfully completed numerous short-term and several large-scale projects from inception. I am eager to leverage my proficiency in mathematics, machine learning, and programming to assist you in solving problems. Specifically, I have expertise in AI Agentic development having skills and experience to deliver e2e solution, from getting data, research to developing, creating CI/CD and maintenance.
$64 hourly
Suheyl U.
- 4.9
- (224 jobs)
Donauwoerth, BY
Machine Learning
Artificial Intelligence
AI Bot
Web Development
Web Crawling
Scrapy
Data Mining
ETL
Data Extraction
pandas
Microsoft Excel
Data Scraping
html2text
Selenium
Python

built bots that fired 3 interns...true story — shipped a bot, 3 interns gone the next week. I build complete systems from concept to deployment — React/Next.js frontends, Python/Node.js backends, AI integrations, and data pipelines that handle millions of requests daily. 🚀 What I'm excellent at: Full-Stack Development - Modern frontends with React, Next.js, TypeScript, Tailwind CSS - Production backends with Python, Node.js/Express - AI/LLM integration (OpenAI GPT, Google Gemini, custom models) - Complete SaaS architecture from auth to payments (Stripe, OAuth 2.0) 🟡 I'm competent at (but not specialized): - DevOps beyond Docker/basic CI/CD - Native mobile development (web-first approach) - Large-scale Kubernetes cluster management ❌ Not my expertise: - UI/UX design or branding - SEO content writing or marketing campaigns - Native iOS/Android from scratch Last CTO asked if he was next. I said, “Only if you’re repetitive.”
$35 hourly
Subtain M.
- 5.0
- (3 jobs)
Ede, GE
Machine Learning
Vector Database
Hugging Face
FastAPI
Django
ChatGPT
Data Science
PyTorch
OpenCV
Computer Vision
LangChain
Chatbot Development
LLM Prompt Engineering
AI Chatbot
AI Agent Development

$50k ROI | 6+ Years Experience | Delivered for USPS, Airbus, Saudi Post, and Defense Clients I help enterprises bridge the gap between "cool AI demos" and production-grade systems that scale. Whether it's deploying 200+ real-time cameras in industrial environments, fine-tuning LLMs for 23x faster inference, or architecting Agentic workflows with LangGraph, I deliver high-performance solutions that drive measurable business ROI. 🚀 Recent High-Impact Wins Industrial IoT & CV (Sigrow): Architected a real-time plant health monitoring system deploying 200+ multispectral/thermal cameras, ingesting 2.3M images/month with YOLO-based segmentation and visual-thermal data fusion. LLM Optimization (Rapidev): Fine-tuned LLaMA 3.2-8B (LoRA/QLoRA) for enterprise NLP, achieving 23x faster inference and automating internal workflows via LangGraph/ReAct agents (50% reduction in manual effort). High-Scale AI Pipelines: Built an inference engine handling 100K+ daily requests (OCR, Speech, Translation), resulting in $50,000 annual cost savings. Edge Performance: Optimized IoT camera management by migrating from Python/Raspberry Pi to GoLang/MIPS, reducing bandwidth and operational costs while increasing API response speeds by 5x. Defense & Satellite: Built satellite object detection (YOLT/Solaris) with 95% accuracy on small targets (<10px), reducing manual inspection time by 65%. 🧠 Core Expertise Agentic AI & GenAI: LangChain, LangGraph, OpenAI, DeepSeek, LLaMA 3.x. Expertise in ReAct agents and multi-agent orchestration. Computer Vision (Edge & Cloud): YOLO (v5-v11), DeepStream, TensorRT, Triton Inference Server, GStreamer, 3D CNNs. Backend & ML Infra: Python, GoLang (specialized in high-performance IoT/MIPS), FastAPI, Docker, MQTT, RTSP, AWS (SageMaker, Bedrock, EC2). Data Fusion: Integrating multispectral, thermal, and sensor data for actionable industrial insights. 🏆 Why Work With Me? ✅ Gold Medalist & Researcher: MS in Computational Science (NUST) and published author in Deep Learning. ✅ Open Source Contributor: Contributed to TensorRTX and YOLOv7-Pose; PyCon Speaker. ✅ Full-Stack Ownership: I don't just train models; I build the GoLang backends, the Dockerized microservices, and the CI/CD pipelines to keep them running. ✅ Business-First Mindset: I focus on KPIs—whether it's a 60% revenue increase for a Japanese casino or a $50k reduction in API costs. 💬 Ready to scale your AI product? Let’s discuss your architecture and how we can build a scalable, production-ready solution together.
$50 hourly
Hussam C.
- 4.9
- (4 jobs)
Lahore, PUNJAB
Machine Learning
Azure Machine Learning
Amazon Web Services
OpenAI API
LangChain
Linux
MLflow
PyTorch
PySpark
SQL
Python
Generative AI
Time Series Analysis
MLOps
Data Science

With over 6 years of hands-on experience in data science and machine learning, I specialize in building scalable AI solutions that solve complex business problems. My expertise bridges the gap between advanced statistical modeling and production-grade engineering, delivering end-to-end solutions from raw data analysis to cloud deployment. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐈𝐦𝐩𝐚𝐜𝐭: • Architected a real-time recommendation system that increased client revenue by 23% and improved user engagement by 40% • Deployed an LLM-powered document processing pipeline that reduced manual analysis time by 90% • Developed demand forecasting models achieving 94% accuracy, optimizing inventory for retail operations worth $2M+ 𝐂𝐨𝐫𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬: • Advanced AI: Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Agentic AI, Computer Vision • Statistical Modeling: Bayesian Modeling, Time Series Analysis (TSA), Social Network Analysis • Engineering & Operations: MLOps, Big Data Processing, Cloud Architecture (AWS/Azure) Tech Stack: Python (TensorFlow, PyTorch, LangChain, Scikit-Learn), Cloud (AWS, Azure, GCP), MLOps (Docker, Kubernetes, FastAPI), SQL/NoSQL Ready to deploy AI that drives ROI? Send me a message describing your challenge, and I'll respond within 24 hours with a specific technical roadmap. ------------------------------------------------------------------------------------------------------------------------ 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: Machine Learning Engineer, AI Engineer, NLP Engineer, Natural Language Processing Engineer, Computer Vision Engineer, Data Scientist, Data Engineer, MLOps Engineer, Deep Learning Engineer, Generative AI Expert, GenAI Engineer, Python Developer, LLM Specialist, Prompt Engineer, GPT Engineer, Agentic AI Engineer
$80 hourly
Jason M.
- 4.7
- (19 jobs)
Thornbury, VIC
Machine Learning
API
C#
NinjaTrader
Forex Trading
Systems Development
C++
Python

Quantitative Trader & Senior Quant Developer I help hedge funds, prop trading firms, and serious traders turn research into production-ready trading systems. With 20+ years of hands-on market experience across discretionary trading, proprietary trading environments, and quantitative development, I focus on delivering robust, realistic, and deployable solutions — not academic prototypes or overfit backtests. If you need a quant developer who understands both markets and production constraints, you’re in the right place. Quantitative Coder with strong production-level programming skills in Python, C++, Rust and C#, specializing in systematic trading and market microstructure-aware strategies. Deep hands-on expertise with trading platforms and APIs, including Sierra Chart (ACSIL), NinjaTrader (NinjaScript), Interactive Brokers TWS, QuantConnect, and Quantower. Comfortable working across research, backtesting, execution, and live operations. Extensive experience designing and deploying cloud-based trading infrastructure, including data pipelines, model execution, testing platforms and monitoring across AWS, GCP, and Azure. Proven background in financial modeling and strategy development, covering both classical linear models and modern machine learning methods, with direct experience taking ML models from research into live trading environments.
$40 hourly
Muhammad F.
- 5.0
- (14 jobs)
Lahore City, Pakistan
Machine Learning
DevOps
PHP
Supabase
n8n
Bug Fix
Mobile App Development
Web Development
OpenAI Codex
Docker
PostgreSQL
FastAPI
Claude
Automation
TypeScript
Next.js
Artificial Intelligence
React
LangChain
Python

6 years ago I started freelancing with Python and Django. Since then I've built payment platforms used by Amazon sellers at scale, deployed enterprise software across six countries for a UK tech firm, and shipped products for startups from San Francisco to Dubai. That work taught me the difference between code that looks clean in a repo and code that actually holds up when real users hit it. Most of my work right now sits where full stack development meets AI. I build LangChain-powered automation, RAG pipelines over real document libraries, multi-agent systems using the Claude and OpenAI APIs, and Web3 platforms with actual wallet integration, not just tutorial-level stuff. I use Claude Code and Codex in my daily workflow, which means I ship faster than most without the quality drop that usually comes with that. For founders who need an MVP or POC done right and done quickly, I work with Supabase, Railway, and Vercel. You get something real in your hands fast, built on a foundation that won't need a full rewrite in 6 months. For the heavier builds, multi-tenant SaaS, high-traffic APIs, cross-platform mobile with Flutter, full blockchain DApps, I bring Django, FastAPI, React, Next.js, TypeScript, PostgreSQL, Docker, AWS, and n8n automation to the table. Top Rated on Upwork since 2020. Clients in the US, UK, UAE, Australia, and Germany. Even if you're still figuring out the scope, reach out. I'm good at helping clients get clarity on what they actually need before a single line of code gets written.
$35 hourly
Kamaljeet S.
- 4.9
- (48 jobs)
Ambala, HARYANA
Machine Learning
LLM Prompt Engineering
AI Agent Development
AI Development
AI Platform
iOS
3D Modeling
OpenCV
Lidar
Floor Plan
Computer Vision
Artificial Intelligence
Augmented Reality
Swift
ARKit

👋 Hey, I'm a Senior iOS Developer with over 8 years of diverse software development experience in tech. From developing to leading, I have done it all! I am proficient in creating apps for iOS and well-versed in developing frontends and backends. Beyond iOS, I led teams in various tech companies. My expertise spans numerous industries, and I've partnered with remarkable companies from all around the globe. I know a vast array of technologies and tools that I have used to create some pretty amazing applications! My Services: 🤖 AI integration (Artificial Intelligence) | OpenAI ChatGPT, DeepSeek, Microsoft AzureAI, Google Cloud, OpenCV, Creating AI Agents and AI-powered Apps 🕶️ AR/VR integration | Lidar, RoomPlan(Floor Plan), ARKit(Augmented Reality), Vision Framework 📲 VoIP integration | LinPhone, Microsoft Azure, Agora, WebRTC 🧠 Tech Advisor 🌐 Backend Development Firebase 🌐ML (Machine Learning) Who I work with: 🚀 Startups – take your idea through the startup lifecycle within a reasonable budget and timeline. 🙋 Small and Medium Businesses – acquire software excellence to boost your current product. Results: ✅ Developed apps with over 200,000+ monthly active users. ✅ A startup gained early adopters for their MVP using TestFlight ✅ A product company increased its user base by 40% by scaling its app onto a new platform. ✅ A services company grew its profits by 60%, thanks to an iOS streaming app. Working with me, you will get: 🕵️ Transparent process with various tracking tools and regular meetings. 💬 Prompt responses and concise explanations. 🧠 Expert consulting and tailored advice based on your specific needs. 🔄 Smooth integration with existing workflows and effective collaboration with your team. 🌍 Flexibility to work with clients across different time zones. 📚 Thorough documentation and dedicated support throughout the transition period. A very important message to any customer who could be working with me: “I take your project as my project” so I always will be 100% dedicated to successful project completion. ►► 𝐇𝐀𝐕𝐄 𝐐𝐔𝐄𝐒𝐓𝐈𝐎𝐍𝐒? 𝐈𝐍𝐕𝐈𝐓𝐄 𝐌𝐄 𝐀𝐍𝐃 𝐀𝐒𝐊!◄◄
$100 hourly
Meesam N.
- 5.0
- (17 jobs)
Dera Ghazi Khan, PB
Machine Learning
FReD
Deep Neural Network
Data Mining
Data Scraping
Deep Learning
TensorFlow
Python
R
MATLAB
C++

Data Scientist & Machine Learning Engineer with 7+ years of experience in AI, Machine Learning, Deep Learning, Computer Vision, Speech Recognition, Signal Processing, Data Mining, and Web Scraping. I specialize in building intelligent, scalable solutions using supervised and unsupervised learning techniques, neural networks, and advanced data analytics. Whether you need predictive models, image processing systems, speech-based applications, or data extraction pipelines, I can deliver reliable and high-quality results tailored to your business needs. My focus is on client satisfaction, transparent communication, and delivering solutions that create real value. I take ownership of every project and provide dedicated support throughout the engagement. Let's work together to turn your data into actionable insights and impactful solutions.
$35 hourly
Moustafa E.
- 4.9
- (27 jobs)
Istanbul, ISTANBUL
Machine Learning
Django
Jupyter Notebook
React
PyTorch
FFmpeg
pandas
React Native
Selenium
Python
JavaScript

✅ I build production-ready 3D web applications with Three.js, React, and Python, with a focus on product configurators, virtual showrooms, digital twins, and efficient WebGL experiences for desktop and mobile. 🎯 If you need a 3D web experience, I can help with the full application around it: configuration rules, pricing logic, dashboards, APIs, asset optimization, deployment, and long-term maintainability. I can help you build or improve: - 3D product configurators: colors, materials, dimensions, variants, pricing, quote/export flows, screenshots, saved configurations - Fast WebGL / Three.js experiences: GLB/glTF optimization, mobile performance, instancing, LODs, compressed textures, shader and render-loop optimization, WebGPU. - React + Three.js applications: React Three Fiber, Next.js, responsive UI, dashboards, admin panels, checkout/API integrations - Virtual stores and showrooms: interactive environments, product browsing, object selection, camera controls, guided experiences - Digital twins and 3D dashboards: real-time or simulated data overlays, monitoring views, industrial/farm/factory-style interfaces - Custom 3D tools and algorithms: parametric geometry, layout logic, mesh/manifold work, measurements, graph/network visualization - Existing project rescue: debugging, performance audits, refactoring fragile prototypes, preparing demos for real users or investors 🎯 Recent relevant work includes: - Long-term Three.js / virtual store development, 1,400+ hours - Long-term React / Python / Three.js application development - 3D product configurator MVP with 5-star client feedback - Palm farm and CNC machine shop digital twin POCs with dashboard UIs - WebGL/D3 graph visualization and 3D force-directed layout projects - Python/Django backend, automation, scraping, and media-processing tools that support full product workflows 🎯 My background is full-stack, so I am comfortable working across the whole system: frontend, backend, APIs, databases, infrastructure, and testing. That is especially useful for 3D projects where the scene is only one part of the actual product. 🎯 Tech I use often: Three.js, React Three Fiber, React, Next.js, JavaScript/TypeScript, Python, REST APIs, glTF/GLB, Blender asset pipeline, WebGL optimization, shaders, animation, GLSL, WebGPU, GitHub Actions, DigitalOcean. 🏅🏆 100% Job Success | Top Rated Plus | 8+ years experience ✅ Available for focused Three.js tasks, MVPs, performance optimization, product configurators, digital twin prototypes, and long-term 3D web application development.
$50 hourly
Mustafa K.
- 5.0
- (12 jobs)
Ankara, ANKARA
Machine Learning
Geometry
Mathematics Tutoring
Reinforcement Learning
Java
Python
Mathematical Modeling
Statistics
Algorithm Development
MATLAB
Mathematica
Mathematics

I have been teaching/tutoring math and doing related research for over 18 years now, I have taught at Northeastern University and Turkey. I have a PhD in Mathematics (an application of mathematical modelling in biology). I can help with mathematical research, especially computational/statistical research. My research required data analysis and modelling, which were conducted in Matlab and related tools (especially Simbiology). Being an active Project Euler contestant, I am extremely interested in designing and executing innovative algorithms for computational math questions (my preferred programming language is Java). Recently I was able to do some work related to Computational Geometry. I have created my own code in Java for this work. I am also experiencing with CGAL libraries. As someone teaching college level math for more than 15 years, I can provide online tutoring in almost any field of math and prepare math questions and/or detailed solutions for all levels: -All college level math/statistics -SAT, GRE, GMAT Quantitative Sections -Multiple Choice Math Questions -For various college level courses (Highly technical, purely algebraic or word problems) I have also done a lot of LaTex typing, for teaching and for my own research. I can type the whole document or help with editing. I have been doing freelance work in tutoring and translation for more than 14 years now. I have translated Jordan Ellenberg's "How Not To Be Wrong" into Turkish, which is in revision for publication.
$50 hourly
Keaton Z.
- 5.0
- (68 jobs)
Mechanicsburg, PA
Machine Learning
Automation
Data Analysis
Predictive Modeling
NumPy
pandas
Python Scikit-Learn
Reinforcement Learning
Unsupervised Learning
Supervised Learning
Neural Network
Artificial Intelligence
Python

AI Developer | Automation & Predictive Analytics I build AI systems that take repetitive work off your plate and turn your data into decisions you can act on. Over 5+ years I've automated workflows that ran for hours down to minutes, shipped computer-vision models north of 97.5% accuracy in production, and built specialized models that outperform frontier LLMs on-task at a tiny fraction of the compute. AUTOMATION I design pipelines and AI-driven workflows that replace manual, error-prone processes: LLM-powered document processing, data ingestion and ETL, RAG/MCP integrations, and agentic systems that handle the busywork. I've cut enough of it for clients to gain multiples worth of efficiency gains. PREDICTIVE ANALYTICS I build forecasting, classification, and risk/scoring models that turn historical data into reliable signal - with the feature engineering, evaluation, and monitoring to keep them accurate in production, not just in a notebook. I also handle the engineering around the models - infrastructure, security, and the supporting services that keep everything running in production. When a project calls for it, I work across NLP, computer vision, and custom model training/fine-tuning. SELECTED RESULTS - Automated document processing from hours to minutes with LLMs - 97.5%+ accuracy on production computer-vision inference - Fine-tuned a compact language model to more than 5x the on-task accuracy of a frontier LLM (GPT-5.5) while using thousands of times less compute CORE SKILLS - Predictive analytics & forecasting, machine learning, deep learning, LLMs, computer vision - Workflow & data automation, MLOps, custom model training, optimization & fine-tuning - Supervised, unsupervised (K-Means, HDBSCAN), and reinforcement learning (Stable-Baselines3) STACK - Languages: Python, SQL, Bash - ML/Data: scikit-learn, PyTorch, TensorFlow, XGBoost/LightGBM/CatBoost, pandas - Build & Deploy: FastAPI/Flask, Docker, Kubernetes, Git I care about modular, efficient systems that keep working long after handoff - not one-off scripts that break the moment requirements shift. If you've got a process worth automating or data worth predicting from, let's talk about moving your project forward.
$50 hourly
Amira E.
- 4.9
- (232 jobs)
Zagazig, EL-HARIRY
Machine Learning
Econometrics
Qualitative Research
Microsoft Excel PowerPivot
Research Methods
Quantitative Analysis
Exploratory Data Analysis
ggplot2
R
Stata
Bayesian Statistics

As a statistician and data analyst, I know exactly how you can use data optimally within your business. Based on your objectives, we will plan to reach the right insight. I am available for: Statistical analysis for academic projects. Data science (prediction models, classification). Data analysis and data mining, web scraping of data Data visualization (infographics, dashboards) Advice and coaching data projects Presentations (storytelling, how to present data, how do other businesses use data?) I can help you businesses, agencies, founders, etc. Make sense of data, and build the reporting and insights you want/need. My particular interest is public health, survey data analysis, biostatistics, psychology, ecometrics and medical research. Skills: Expert in using IBM SPSS, SAS, R Studio, python, STATA and Excel for the following missions. - Data mining, and data cleaning. Expert in Statistical Analysis; Correlation analysis, Regression analysis, ANOVA and MANOVA testing, Survival analysis, Factor analysis (EFA and CFA), Cluster analysis and other tests (parametric and non-parametric). Interpretations and writing high quality reports. - Tables, graphs and interpretations in APA format for dissertations and thesis Sample size calculations using SPSS and R. -Statistical modeling - Designing researches and clinical trials as well. Since I believe that good communication is crucial to gaining good outcomes, I am 100% available through Upwork application, please feel free to contact me directly through messages
$50 hourly
Ebram S.
- 5.0
- (50 jobs)
Cairo, C
Machine Learning
Docker Compose
PostgreSQL
RESTful API
Docker
Scripting
API Development
Django
Algorithm Development
Database Design
Flask
Python

Hi there! I'm a software engineer specialized in backend engineering with Python my main expertise is in Django, and Django REST Framework. My goal that I care so much about is delivering the highest qualityand performant software! I can get your idea from being an idea to being a deployed solution starting from translating your idea into work packages and , developing, testing, and deploying a working solution. I have an algorithmic and analytical skills that I use to create efficient and competitive products that will help my clients to make their business successful. Overview of my skillset.. (I'm 100% open to working with any other tech stack if I have to.) ● Programming Languages: - Python(used mainly) - C/C++ - C# - I can work with any if I have to. ● Database Engines: - SQLite3 - MySQL - PostegreSQL - MongoDB (NoSQL) - Airtable ● Frameworks: - Django - Django REST Framework - Django Channels - Flask - Fast API - Tornado. ● Concepts - TDD - Web-Scraping - REST APIs - Web Sockets ● ORMs - Django ORM - SQLAlchemy - Entity Framework ● Cloud - AWS - Terraform for IaC. ● Tools - Docker/Docker Compose - Celery/Celery Beat - Kafka - ElasticSearch, LogStash, Kibana - Grafana - BitBucket Pipelines - Redis - Sphinx - Swagger - CookieCutter - NGINX ● Misc.: Basics of frontend technologies: HTML, CSS, JS, JQuery, and Bootstrap. ● Integrations with: - Stripe - PayPal - Airtable - Electronic Signature DocuSign. Looking forward to establishing long-term relationship with client!
$120 hourly
Jeremiah L.
- 5.0
- (9 jobs)
Rockwall, TX
Machine Learning
Automation
R Shiny
Statistics
Analytics
Data Mining
Natural Language Processing
SQL
Python
R

Principal ML engineer at a global top 10 company. Professor of Data Science at Merrimack College. I am a data scientist with software skills specializing in time series analysis, NLP, and root cause analysis. Complex data problems and data munging are my passion.
$40 hourly
Darwin T.
- 5.0
- (5 jobs)
Paranaque, METRO MANILA
Machine Learning
Testing
Process Improvement
Electronic Data Interchange
SAP ERP
SQL Programming
dbt
Snowflake
Databricks Platform
Data Science
Artificial Intelligence
Digital Marketing
JavaScript
Java
SQL
Python
Google Cloud Platform
AWS Glue
Microsoft Azure
Tableau
Microsoft Power BI
Looker Studio
Adobe Analytics
Google Analytics 4

I help businesses analyze and implement efficient processes to achieve improved productivity, continuous growth and sustainable profit with the advantages for digital platforms and technology.
$125 hourly
Muhammad Jarir K.
- 5.0
- (25 jobs)
Karachi, SD
Machine Learning
dbt
AI Chatbot
Data Integration
Data Management
Data Visualization
Data Engineering
Artificial Intelligence
AI Model Development
R
Python
Deep Learning
Data Science
Natural Language Processing

I help companies increase revenue and automate processes with the power of data science and AI. I'm a full-stack data scientist with a wealth of expertise in machine learning, NLP, Generative AI (ChatGPT, LLMs), data engineering, and analytics engineering. I can also help drive strategy and manage your data team. My previous experiences include creating and managing end-to-end data pipelines powering AI & ML products at the WHO and venture-backed startups. I can help you: 💡 Ideate on how to integrate the latest AI & ML techniques (e.g., ChatGPT) into your products and services 🤖 Build ML and NLP models on your custom data 🔧 Set up robust data and analytics pipelines using modern tooling (dbt, Fivetran, Dagster) and software engineering best practices 🏷️ Build in-house data annotation and labeling pipelines to power your custom AI models ☁️ Deploy AI models and manage related cloud infrastructure in a cost-effective manner 🎓 Mentor your existing teams on how to use MLOps and DataOps tooling to supercharge productivity I have a bachelor's in physics and a master's in data science and analytics from Georgia Tech. ________________________________________________________________________________ My toolkit includes: 🧠 Generative AI — LLMs, OpenAI ChatGPT, Gemini, Anthropic Claude, Chatbots, Retrieval Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, PyTorch, TensorFlow, Hugging Face, LangChain, LLaMA, Gemma ⚙️ Data Engineering — dbt, Dagster, Airflow, Prefect, API Integration, ETL/ELT Pipelines, Fivetran, Airbyte, Meltano, dlt, BigQuery, Redshift, Snowflake, DuckDB, Postgres, MySQL, Cube, dbt Semantic Layer 🔬 Data Science & Machine Learning — Natural Language Processing, Classification, Clustering, Regression, Unsupervised Learning, Topic Modeling, Churn Prediction, Jupyter Notebooks, Prodigy, Spacy, Mephisto, Dataset Creation, Scikit-Learn (sklearn), NumPy, SciPy, Polars, Pandas, CuPy 📊 Data Visualization — Tableau, Looker, Omni, Lightdash, QuickSight, Hex, Deepnote, Plotly, Dash, Seaborn, Matplotlib, ggplot, Hvplot, Altair, d3.js ☁️Cloud & DevOps— Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Docker, CI/CD, Lambda Labs, Coreweave, RunPod, Banana.dev, SkyPilot 💻 Programming Languages — Python, R, SQL, JavaScript, Scala 🤖 Process Automation —Make, Zapier, n8n, Airtable
$120 hourly
Alexander B.
- 5.0
- (27 jobs)
Antalya, ANTALYA
Machine Learning
MetaTrader
Trend Forecasting
Trading Automation
Trading Strategy
Real Time Stream Processing
API Integration
Predictive Analytics
Twitter/X API
Automation
Django
Cryptocurrency
Image Processing
Python
Statistics

Skilled software developer with over 8 years of experience in python, trading systems, advanced private poker software, image processing, and data science in general. As a former scientist (5 years as a laboratory head) I have honed my approach to problem-solving and ensured that my solutions are both thorough and rigorous. Currently, there are two main directions I'm interested to be involved in long-term: Trading systems or high-end software for professional poker players. Skills: - Python (expert) - Algorithmic trading (expert) - Applied mathematics (expert) - Real-time data processing (expert) - Machine learning (intermediate) - Git (intermediate) Python tech stack in more depth: Data Science: numpy, pandas, scipy, scikit-learn, seaborn, matplotlib Backend: django, django-rest-framework, django-channels Images Processing: OpenCV, PIL, imutils Databases: PostgreSQL, mySQL, SQLite, MariaDB Automation: Selenium, MITM-proxy, JS-injection, UIAutomator, win32api, ctypes, adb Other: Jupyter Notebooks, Docker, nginx, git, Trello, Toggl I graduated from MEPhI (Top-100 in Round University Ranking) with an MS degree in Applied Mathematics. Acquired fundamental knowledge of natural sciences gives me not only a clear understanding of algorithms but also abilities to write new ones, that will perfectly fit your particular task.
$80 hourly
Bernard W.
- 5.0
- (7 jobs)
Miami, FL
Machine Learning
Statistics
Data Visualization
Data Analysis
Quantitative Research
SQL
Tableau
Data Science
Python
R

I am a seasoned data science professional with over 10 years of experience. At my full-time job as a senior data scientist for a large cruise company, my passion is leveraging both fundamental and advanced analytics to provide bespoke business and revenue solutions across the organization. Previously, I worked as a senior data analyst for a multi-billion dollar quasi-governmental company working to help fund affordable high-speed internet across the United States. My experience in data science and analytics is full-stack. What that means is you can rely on me from A-Z: processing your raw, messy data (ETL), finding significant insights in your data (EDA) and then uncovering subtle patterns via advanced statistics and algorithms (machine learning), and finally putting everything together with powerful visualizations in a compelling report. In addition, I am more than happy to help with any programming/scripting, database, and reporting automation projects. I am very comfortable programming in Python, R, and SQL. I also am an expert in visualizing and manipulating data with Tableau (including Tableau Prep). I earned my master's degree and Ph.D. in materials science and engineering from the University of Virginia where I specialized in computer modeling and simulation of nanoscale materials. Before that, I graduated from the University of Richmond with a double major in Physics and Chemistry.
$120 hourly
Dallin M.
- 5.0
- (47 jobs)
North Salt Lake, UT
Machine Learning
AI App Development
Artificial Intelligence
Amazon Web Services
Data Mining
Exploratory Data Analysis
Predictive Analytics
Data Analysis
Text Analytics
Statistical Analysis
Data Cleaning
Python
Computer Vision
Data Science
Data Science Consultation

I am a AI specialist and a problem-solver. I am expert in using Python to develop effective machine learning models. I have experience with AWS and Tensorflow and have built applications, models, and solutions for a variety of companies. I have developed cutting edge, custom machine learning models and successfully integrated them within existing structures. My goal is to revolutionize your business. I believe that machine learning and AI is the path forward, and I can help you obtain value from the data you collect. If you want to innovation and creativity in your business, reach out to me.
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