Machine Learning Engineer Job Description Template

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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.
$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.
$100 hourly
Amar K.
- 5.0
- (32 jobs)
Bengaluru, KA
Machine Learning
TensorFlow
Flask
FastAPI
Neural Network
Artificial Intelligence
AI Bot
LangChain
Retrieval Augmented Generation
Amazon Web Services
Large Language Model
AI Chatbot
Claude
Docker
Google Cloud Platform
Chatbot
Python
I ship production AI products for startups and enterprises — RAG systems, AI agents, LLM apps, Python backends, and cloud deployment. Expert-Vetted (Top 1%), 100% Job Success, 32+ projects, $100K+ earned on Upwork. 📅 Book a 60-min AI Architecture Consultation — validate your RAG, agent, or backend plan before you build. Recent work: CabinetSense AI support chatbot, CareerLoop RAG career coach, Splitr AI invoice tool — full-stack products from architecture through production. Clients hire me when they need an owner, not a ticket-taker. I take responsibility for architecture, AI integration, infrastructure, and delivery — not just individual features. What I build: • AI agents, RAG/knowledge systems, LLM apps (OpenAI, Claude, Gemini) • Python backends — FastAPI, APIs, auth, multi-tenant, PostgreSQL/Redis • Cloud & deployment — AWS, GCP, Docker, CI/CD, monitoring • Full-stack when needed — React, TypeScript, Next.js 10+ years building production software — from enterprise platforms at Oracle, Goldman Sachs, and KPMG to AI products for startups on Upwork. If you're building an AI product and want it in production — not a prototype that stalls — let's talk.

$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.
$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.
$100 hourly
Amar K.
- 5.0
- (32 jobs)
Bengaluru, KA
Machine Learning
TensorFlow
Flask
FastAPI
Neural Network
Artificial Intelligence
AI Bot
LangChain
Retrieval Augmented Generation
Amazon Web Services
Large Language Model
AI Chatbot
Claude
Docker
Google Cloud Platform
Chatbot
Python
I ship production AI products for startups and enterprises — RAG systems, AI agents, LLM apps, Python backends, and cloud deployment. Expert-Vetted (Top 1%), 100% Job Success, 32+ projects, $100K+ earned on Upwork. 📅 Book a 60-min AI Architecture Consultation — validate your RAG, agent, or backend plan before you build. Recent work: CabinetSense AI support chatbot, CareerLoop RAG career coach, Splitr AI invoice tool — full-stack products from architecture through production. Clients hire me when they need an owner, not a ticket-taker. I take responsibility for architecture, AI integration, infrastructure, and delivery — not just individual features. What I build: • AI agents, RAG/knowledge systems, LLM apps (OpenAI, Claude, Gemini) • Python backends — FastAPI, APIs, auth, multi-tenant, PostgreSQL/Redis • Cloud & deployment — AWS, GCP, Docker, CI/CD, monitoring • Full-stack when needed — React, TypeScript, Next.js 10+ years building production software — from enterprise platforms at Oracle, Goldman Sachs, and KPMG to AI products for startups on Upwork. If you're building an AI product and want it in production — not a prototype that stalls — let's talk.
$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.
$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
Amazon Web Services
OpenAI API
LangChain
Linux
PySpark
Generative AI
Azure Machine Learning
MLflow
PyTorch
SQL
Python
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
API Integration
API Development
DevOps
PHP
Supabase
n8n
Bug Fix
Mobile App Development
Web Development
PostgreSQL
FastAPI
Claude
Automation
TypeScript
Next.js
Artificial Intelligence
React
LangChain
Python
I help startups, scaleups, and enterprise organizations transform ideas into production-ready digital products by combining modern frontend engineering, scalable backend architecture, cloud infrastructure, automation, and AI-driven solutions. From greenfield SaaS platforms to enterprise modernization initiatives, I build systems that are engineered for performance, scalability, maintainability, and measurable business growth. While you can find Talent adopting with skills-first approach, I continue to give my partners a pinch of business impacts, which I have made over the last 7+ years of my journey. Business Impact • Built scalable SaaS platforms from concept to production. • Developed AI-powered business applications and automation tools. • Delivered enterprise ERP solutions and workflow automation. • Designed cloud-native microservices and API-first architectures. • Built real-time analytics dashboards and reporting systems. • Automated deployments using modern DevOps practices. • Integrated complex third-party APIs and enterprise platforms. • Improved scalability, performance, and operational efficiency across multiple products. - Core Expertise • React.js • Next.js • TypeScript • JavaScript • Redux • Python • FastAPI • Django • REST APIs • WebSockets • PostgreSQL • MongoDB • MySQL • Redis • Docker • Kubernetes • Azure • Jenkins • GitHub Actions • CI/CD • ERPNext • Frappe Framework • Apache Airflow • Microservices • API-First Architecture • Multi-Tenant SaaS • Cloud-Native Development - Frontend Development I build responsive, SEO-friendly, high-performance web applications using React and Next.js with modern UI architecture, SSR, reusable component libraries, dashboard development, state management, performance optimization, and exceptional user experiences. - Backend Development I develop scalable Python applications using FastAPI and Django, designing secure REST APIs, authentication systems, RBAC, WebSockets, third-party integrations, workflow automation, and business-critical backend services capable of supporting production workloads. - SaaS & Enterprise Solutions My experience includes building enterprise SaaS platforms, procurement systems, ERP solutions, internal collaboration portals, financial dashboards, Amazon seller platforms, analytics applications, and business automation software designed for scalability and operational efficiency. - AI & Automation I build AI-powered applications using OpenAI APIs, GPT integrations, voice-to-text solutions, intelligent chatbots, workflow automation, speech processing, and productivity tools that streamline business operations and improve customer experiences. - ERP & Business Automation Extensive experience customizing ERPNext and Frappe Framework across HR, Payroll, CRM, Accounting, Procurement, Inventory, Manufacturing, Project Management, Supply Chain, and enterprise workflow automation with seamless third-party integrations. - Cloud & DevOps I design cloud-ready architectures using Docker, Kubernetes, Azure, Jenkins, GitHub Actions, and automated CI/CD pipelines, ensuring reliable deployments, scalability, monitoring, and infrastructure automation. - Data & Analytics Experienced in building ETL pipelines, real-time dashboards, KPI reporting systems, financial analytics platforms, Apache Airflow workflows, and data-driven applications powered by PostgreSQL, MongoDB, MySQL, and Redis. - Industries SaaS • Enterprise Software • E-Commerce • Amazon Marketplace • Procurement • Construction • Manufacturing • Industry 4.0 • Smart Factory • Financial Services • AI Products - Leadership Beyond development, I contribute through software architecture, technical leadership, mentoring, sprint planning, code reviews, Agile delivery, documentation, stakeholder communication, and cross-functional collaboration. If you're looking for a Leader Or Tech Veteran who understands both technology and business strategy, I can help build software that is scalable, maintainable, and aligned with your growth objectives.
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