Computer Vision 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.

Hire Computer Vision Engineers

Looking to find work instead?

Trusted by

Computer Vision Engineer Job Description Template

Computer vision engineers play a critical role in advancing technologies that analyze and interpret visual data. By combining expertise in machine learning, artificial intelligence, and image processing, these professionals develop innovative solutions across industries such as healthcare, autonomous vehicles, and robotics. A computer vision engineer focuses on developing algorithms, implementing cutting-edge technologies, and solving real-world problems using tools like TensorFlow, PyTorch, and OpenCV.

These engineers are instrumental in creating computer vision systems that enhance user experiences and drive business growth. They work on projects involving object detection, segmentation, and image recognition, ensuring high accuracy and efficiency. With their ability to tackle complex problems, optimize frameworks, and adapt to advancements in technology, computer vision engineers contribute to the development of autonomous vehicles, augmented reality applications, and smart robotics.

This template offers a detailed job description designed to help businesses seeking a computer vision engineer find top-tier talent. Whether you're in software development, augmented reality, or self-driving car projects, this guide will help you attract and hire the right candidate using Upwork’s global pool of experts.

Copy to Clipboard

Job Overview

A computer vision engineer specializes in developing and optimizing systems that process, analyze, and understand visual data. Collaborating with cross-functional teams, these professionals build advanced models for object detection, image recognition, and segmentation. The role requires strong problem-solving skills, proficiency in programming languages like Python and Java, and expertise in deep learning frameworks. Ideal candidates thrive in tackling complex problems and decision-making, ensuring solutions align with organizational goals.

In addition to technical expertise, computer vision engineers contribute to the design and implementation of innovative applications in industries like healthcare, autonomous vehicles, and augmented reality. They are adept at leveraging large datasets, debugging models, and refining computer vision algorithms to achieve high performance. Collaboration with data scientists, software engineers, and stakeholders ensures the delivery of cutting-edge technologies that meet both technical and business objectives.

Key Responsibilities

Developing computer vision models. Build and train deep learning models for image processing and object detection using TensorFlow and PyTorch.
Implementing computer vision algorithms. Design and optimize algorithms for real-time applications such as autonomous vehicles and augmented reality systems.
Collaborating with teams. Work with data scientists, software engineers, and project managers to develop computer vision systems.
Analyzing datasets. Handle large datasets and preprocess visual information to improve machine learning models.
Debugging and troubleshooting. Address software development challenges to ensure computer vision applications meet performance standards.
Exploring advancements. Stay informed about advanced computer vision techniques, frameworks, and computer vision libraries to incorporate into projects.
Optimizing architectures. Enhance algorithm performance through optimization techniques and framework improvements.
Ensuring scalability. Develop solutions that scale across diverse platforms, including real-world and real-time environments.

Qualifications and Skills

Education. Bachelor’s degree in computer science, electrical engineering, or a related field; a master’s degree is preferred.
Experience. Proven work in computer vision projects and image processing techniques with a focus on large datasets.
Technical skills. Proficiency in Python, Java, and deep learning frameworks like TensorFlow and PyTorch.
Problem-solving skills. Ability to address complex problems and implement innovative solutions in computer vision applications.
Communication skills. Strong ability to collaborate with team members and articulate ideas to stakeholders.
Knowledge. Deep understanding of computer vision algorithms, neural networks, and linear algebra fundamentals.

About Our Company

[Company name] is dedicated to pushing the boundaries of computer vision technology to solve real-world problems. With a focus on innovation and collaboration, we work across industries to deliver advanced computer vision solutions. From autonomous vehicles and robotics to healthcare and augmented reality, our projects tackle complex challenges with the potential to make a lasting impact.

Our team combines expertise in machine learning, deep learning frameworks, and algorithm development to create solutions that redefine what’s possible in the field of computer vision. Join our forward-thinking environment, where team members collaborate on cutting-edge projects and leverage the latest technologies to shape the future of artificial intelligence and visual data processing.

What does a computer vision engineer do?

A computer vision engineer focuses on creating systems that interpret visual information through machine learning models and image processing techniques. They develop algorithms and leverage tools like OpenCV, TensorFlow, and PyTorch to build computer vision systems for applications such as autonomous vehicles, augmented reality, and healthcare. These professionals also work on solving real-world problems by combining artificial intelligence, data science, and advanced computer vision frameworks.

Designs and implements algorithms. Create and deploy deep learning models for tasks such as segmentation, object detection, and image recognition, ensuring scalability and accuracy for various applications.
Collaborates across teams. Work closely with cross-functional teams, including software engineers, data scientists, and project managers, to integrate computer vision applications into broader systems and ensure seamless functionality.
Optimizes performance. Enhance the efficiency of computer vision algorithms, focusing on real-time processing, system optimization, and the ability to handle large datasets effectively.
Explores advancements. Stay updated on the latest developments in computer vision techniques, including emerging deep learning frameworks, new algorithms, and advancements in image processing to maintain innovative solutions.
Implements computer vision systems. Develop and test computer vision systems that analyze visual data, enabling real-time decision-making in applications such as self-driving cars and robotics.
Conducts debugging and troubleshooting. Identify and resolve technical challenges in computer vision projects, ensuring that algorithms and frameworks perform reliably under various conditions.
Contributes to research and development. Experiment with cutting-edge technologies, including neural networks, object detection systems, and segmentation techniques, to create innovative solutions for the field of computer vision.
Applies domain knowledge. Utilize expertise in programming languages like Python, Java, and C++, as well as mathematical fundamentals like linear algebra, to design accurate and efficient computer vision models.
Leverages computer vision libraries and tools. Utilize libraries such as OpenCV, TensorFlow, and Keras when building and implementing advanced computer vision systems.
Analyzes large datasets. Work with large datasets to train and validate models, ensuring accuracy in diverse real-world applications.

By blending technical expertise and a passion for problem-solving, computer vision engineers play a vital role in advancing artificial intelligence and creating innovative visual data solutions across industries.

Copy to Clipboard

How to write a computer vision engineer job description

Start with a title. Clearly label the role as "Computer Vision Engineer" and include any specialties, such as machine learning or deep learning.
Write an overview. Provide a concise summary that highlights the role’s focus on algorithm development, cutting-edge projects, and industry applications.
List responsibilities. Wrote down key tasks in detail, such as designing computer vision systems, analyzing visual data, and collaborating with teams.
Specify qualifications. Include technical expertise in frameworks, programming languages, and problem-solving skills.
Describe the company. Showcase your organization’s commitment to innovative solutions and its focus on real-world impact.

FAQs about computer vision engineers

What is the typical computer vision engineer salary?

The average salary for a computer vision engineer varies by experience and location. Software developers, including computer vision engineers, earn a median annual salary of around $120,000, with top earners exceeding $175,000. On Upwork, computer vision engineers typically charge between $40 and $100 per hour, depending on expertise and project complexity.

What skills do computer vision engineers need?

Computer vision engineers need expertise in machine learning, deep learning frameworks like TensorFlow and PyTorch, and programming languages such as Python and Java. They must be proficient in image processing techniques, computer vision algorithms, and tools like OpenCV. Strong problem-solving skills, knowledge of mathematical fundamentals like linear algebra, and the ability to optimize computer vision models for real-time applications are also essential. Excellent communication skills and experience working with cross-functional teams are valuable assets in this role.

What industries are hiring computer vision engineers?

Computer vision engineers are in demand across diverse industries, including healthcare, autonomous vehicles, robotics, and augmented reality. Companies in e-commerce, manufacturing, and entertainment also rely on computer vision applications for image recognition, object detection, and visual data analysis. Startups and technology leaders developing innovative solutions in artificial intelligence focus on hiring computer vision professionals to advance their machine learning capabilities and stay competitive.

What tools do computer vision engineers use?

Computer vision engineers use tools like TensorFlow, PyTorch, and OpenCV to develop and optimize computer vision algorithms. Other popular tools include MATLAB, Keras, and libraries for image processing. They rely on data analysis tools, debugging software, and version control systems such as Git to streamline workflows. Familiarity with Google Colab, Jupyter Notebooks, and cloud platforms like AWS is also advantageous.

How do computer vision engineers stay updated on advancements?

To stay current in the field of computer vision, engineers follow the latest industry trends, attend conferences, and participate in online courses on platforms like LinkedIn Learning and Coursera. They explore new deep learning frameworks, research advancements in image processing techniques, and experiment with emerging computer vision algorithms. Collaboration with data scientists and AI professionals on cutting-edge projects also keeps their skills sharp.

Hire computer vision engineers on Upwork

Hire top-tier computer vision engineers on Upwork to develop cutting-edge solutions for your projects. From algorithm development to real-world applications, Upwork offers access to a global pool of experts. Post your job today and connect with the talent you need.

Computer Vision Engineer Hiring Resources

Explore talent to hire

Learn about cost factors

See interview questions

4.8/5

clients rate based on reviews

Hire Computer Vision Engineers

Computer Vision Engineers you can meet on Upwork

$50 hourly
Rabia W.
- 4.6
- (3 jobs)
Rawalpindi, PB
Computer Vision
Generative AI
Model Tuning
Data Preprocessing
Data Extraction
Optical Character Recognition
Neural Network
OpenCV
PyTorch
Python
Image Classification
Image Segmentation
Image Processing
Data Labeling
Data Annotation
Deep Learning
Object Detection
I'm an AI/ML engineer specializing in computer vision. I build the systems that read documents people currently read by hand: engineering drawings, technical schematics, and security footage. Most recently I led a program extracting 32 classes of instrumentation and equipment symbols from Mechanical Drawings at 95.6% mAP across 10,000 drawings, replacing thousands of hours of manual takeoff. WHAT I DO • Document & drawing AI: P&ID and schematic symbol detection, OCR, field and table extraction • Object detection & tracking: YOLOv8, real-time inference, crowded and low-light conditions • Annotation programs: schema design, guideline authoring, team leadership, QA and agreement measurement • End-to-end delivery: data cleaning → annotation → training → evaluation → deployment SELECTED RESULTS • 32-class P&ID symbol extraction — 95.6% mAP@0.5 across 10,000 drawings, 41ms per sheet • Unattended baggage & restricted-zone intrusion detection — 94.1% mAP, 20,000 frames, deployed on-premise and air-gapped • Facial attribute corpus for generative model localization — 10,000 images, 24 attributes, inter-annotator agreement raised from 0.74 to 0.91 HOW I WORK I've led annotation teams of five and owned the full pipeline on three programs. The hard part in vision projects is almost never the model, it's the label schema and the error analysis. That's where I spend my time, and it's why these numbers hold on held-out data rather than only in training. I work with confidential data regularly: on-premise deployments, air-gapped pipelines, and NDA-safe delivery practice. TOOLS Python · PyTorch · YOLOv8 · YOLOv11 · OpenCV · CVAT · Label Studio · Docker
$9 hourly
Precious E.
- 4.8
- (34 jobs)
Lagos, LA
Computer Vision
SQL
Audio Recording
Audio Transcription
Object Detection & Tracking
Text Classification
Data Annotation
Data Analysis
LabelMe
Image Annotation
Data Entry
Data Segmentation
Data Labeling
Sentiment Analysis
LLM Prompt
RLHF
Labelbox
Python
Roboflow
CVAT
I provide annotation services with precision and data consistency. Delivering labeled datasets at 98%+ accuracy. In building an AI system, the quality of your training data is everything and that is where I come in. I am an AI Data Annotator specialist in image, Video, audio and speech labeling with over 6 years of experience helping machine learning teams and AI companies get their training data right. I have worked across computer vision, speech recognition, generative AI, and multimodal systems, and I understand that bad annotation does not just slow down a project, it breaks the model. What I actually do goes beyond clicking and labeling. I help teams design labeling workflows, write annotation guidelines that make sense, set up QA systems, and coordinate annotation teams on large-scale projects. I have delivered everything from small pilot datasets to massive production-ready annotation operations and I know how to keep quality consistent. My specialty: 🔸 Audio & Speech Transcription & ASR labeling Speaker diarization Sound event tagging Accent and language diversity annotation 🔸 Computer Vision & Image Bounding boxes, polygons, segmentation Keypoints and object tracking Semantic & instance segmentation 🔸 Autonomous Vehicles Lane marking, drivable areas Traffic signs, LiDAR & video annotation 🔸 LLM Alignment RLHF & RLAIF Prompt and response evaluation 🔸 Healthcare AI Medical image labeling High-precision QA workflows 🔸 E-commerce Product categorization, attribute tagging Catalog normalization Tools I have worked with: CVAT Roboflow LabelBox Label Studio VOTT V7 (Darwin) SuperAnnotate Supervisely Annotation Pro Google Sheet Microsoft 365 DataLoop and more If you need someone who understands both the technical and operational side of AI data labeling Let's talk. I am ready to add value from day one.
$35 hourly
Subtain M.
- 5.0
- (3 jobs)
Ede, GE
Computer Vision
Vector Database
Hugging Face
FastAPI
Django
ChatGPT
Data Science
PyTorch
Machine Learning
OpenCV
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
Rabia W.
- 4.6
- (3 jobs)
Rawalpindi, PB
Computer Vision
Generative AI
Model Tuning
Data Preprocessing
Data Extraction
Optical Character Recognition
Neural Network
OpenCV
PyTorch
Python
Image Classification
Image Segmentation
Image Processing
Data Labeling
Data Annotation
Deep Learning
Object Detection
I'm an AI/ML engineer specializing in computer vision. I build the systems that read documents people currently read by hand: engineering drawings, technical schematics, and security footage. Most recently I led a program extracting 32 classes of instrumentation and equipment symbols from Mechanical Drawings at 95.6% mAP across 10,000 drawings, replacing thousands of hours of manual takeoff. WHAT I DO • Document & drawing AI: P&ID and schematic symbol detection, OCR, field and table extraction • Object detection & tracking: YOLOv8, real-time inference, crowded and low-light conditions • Annotation programs: schema design, guideline authoring, team leadership, QA and agreement measurement • End-to-end delivery: data cleaning → annotation → training → evaluation → deployment SELECTED RESULTS • 32-class P&ID symbol extraction — 95.6% mAP@0.5 across 10,000 drawings, 41ms per sheet • Unattended baggage & restricted-zone intrusion detection — 94.1% mAP, 20,000 frames, deployed on-premise and air-gapped • Facial attribute corpus for generative model localization — 10,000 images, 24 attributes, inter-annotator agreement raised from 0.74 to 0.91 HOW I WORK I've led annotation teams of five and owned the full pipeline on three programs. The hard part in vision projects is almost never the model, it's the label schema and the error analysis. That's where I spend my time, and it's why these numbers hold on held-out data rather than only in training. I work with confidential data regularly: on-premise deployments, air-gapped pipelines, and NDA-safe delivery practice. TOOLS Python · PyTorch · YOLOv8 · YOLOv11 · OpenCV · CVAT · Label Studio · Docker
$9 hourly
Precious E.
- 4.8
- (34 jobs)
Lagos, LA
Computer Vision
SQL
Audio Recording
Audio Transcription
Object Detection & Tracking
Text Classification
Data Annotation
Data Analysis
LabelMe
Image Annotation
Data Entry
Data Segmentation
Data Labeling
Sentiment Analysis
LLM Prompt
RLHF
Labelbox
Python
Roboflow
CVAT
I provide annotation services with precision and data consistency. Delivering labeled datasets at 98%+ accuracy. In building an AI system, the quality of your training data is everything and that is where I come in. I am an AI Data Annotator specialist in image, Video, audio and speech labeling with over 6 years of experience helping machine learning teams and AI companies get their training data right. I have worked across computer vision, speech recognition, generative AI, and multimodal systems, and I understand that bad annotation does not just slow down a project, it breaks the model. What I actually do goes beyond clicking and labeling. I help teams design labeling workflows, write annotation guidelines that make sense, set up QA systems, and coordinate annotation teams on large-scale projects. I have delivered everything from small pilot datasets to massive production-ready annotation operations and I know how to keep quality consistent. My specialty: 🔸 Audio & Speech Transcription & ASR labeling Speaker diarization Sound event tagging Accent and language diversity annotation 🔸 Computer Vision & Image Bounding boxes, polygons, segmentation Keypoints and object tracking Semantic & instance segmentation 🔸 Autonomous Vehicles Lane marking, drivable areas Traffic signs, LiDAR & video annotation 🔸 LLM Alignment RLHF & RLAIF Prompt and response evaluation 🔸 Healthcare AI Medical image labeling High-precision QA workflows 🔸 E-commerce Product categorization, attribute tagging Catalog normalization Tools I have worked with: CVAT Roboflow LabelBox Label Studio VOTT V7 (Darwin) SuperAnnotate Supervisely Annotation Pro Google Sheet Microsoft 365 DataLoop and more If you need someone who understands both the technical and operational side of AI data labeling Let's talk. I am ready to add value from day one.
$35 hourly
Subtain M.
- 5.0
- (3 jobs)
Ede, GE
Computer Vision
Vector Database
Hugging Face
FastAPI
Django
ChatGPT
Data Science
PyTorch
Machine Learning
OpenCV
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.
$35 hourly
Yuan T.
- 5.0
- (11 jobs)
Delft, SOUTH HOLLAND
Computer Vision
Adobe Photoshop
Blender
3D Printer
Freecad
Autodesk Fusion 360
English
Mathematics
Dutch
Technical Translation
Dutch to English Translation
Editing & Proofreading
English to Dutch Translation
Python
MATLAB
I have a Bachelor degree in Applied Physics and a Master degree in Biomedical Engineering. I've got 5+ years experience writing papers in English and Dutch. I'm well trained when it comes to technical academia. I've tutored high school and university students in math, physics and English. I daresay I'm equal to most math problems. I can code in Python and know my way around Matlab and Excel. I made my own bookkeeping software (no UI) and for my Master I programmed a SIFT computer vision algorithm. I have 2 years R&D experience in the medical device field, focusing on CAD design & modelling. Though I'm not very good at making "artsy" models, I can make and animate (Blender or Fusion) technical models. I'm interested in writing and am currently writing and editing my own fantasy book. I enjoy reading and writing fantasy fiction, solving sudoku's and riddles. In terms of sports, I'm a Spikeball trainer and player and I do fitness.
$35 hourly
Kamaljeet S.
- 4.9
- (48 jobs)
Ambala, HARYANA
Computer Vision
LLM Prompt Engineering
AI Agent Development
AI Development
AI Platform
3D Modeling
OpenCV
Lidar
Floor Plan
Machine Learning
Artificial Intelligence
iOS
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!◄◄
$120 hourly
Dallin M.
- 5.0
- (47 jobs)
North Salt Lake, UT
Computer Vision
Artificial Intelligence
Amazon Web Services
Data Mining
Exploratory Data Analysis
Predictive Analytics
Data Analysis
Text Analytics
Statistical Analysis
Data Cleaning
AI App Development
Python
Machine Learning
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.
$85 hourly
Eben O.
- 4.9
- (56 jobs)
North Haven, CT
Computer Vision
Electronic Design
Hardware Prototyping
Electrical Engineering
Hardware Design
Microcontroller Design
KiCad
Analog Electronics
PCB Design
Circuit Design
Digital Electronics
Embedded System
Deep Learning
Raspberry Pi
Microcontroller Programming
Full-stack electronics designer. With expertise in board design and firmware engineering, I can take your idea from concept to production ready, or help improve your existing product. Services include: - Requirements analysis and system architecture - Analog and digital circuit design - PCB layout, high speed/high density expertise - Microcontroller and FPGA code development - Prototype assembly and testing - Mechanical codesign - Contract manufacturing liason - Reverse engineering/debugging/component lifecycle management
$50 hourly
Chinmay D.
- 5.0
- (11 jobs)
Hyderabad, TELANGANA
Computer Vision
Content Writing
Data Analysis
Article Writing
Artificial Intelligence
TensorFlow
Python
Natural Language Processing
pandas
Data Science
Deep Learning
Data Mining
PyTorch
Machine Learning
Statistical Analysis | Predictive Modelling | Data Visualisation | Image Classification | Image Detection | Image Recognition With experience on data collection through web scrapes, XML/Json data pull using APIs (Twilio, Pushbullet, Telegram, etc.), data mining from existing data dump, I have assisted many clients in the past few years on their data analytical needs such as Stock Market predictions, weather forecasting, fraud detection on employee reimbursement forms. I have extended my deliverables while including Natural Language Processing tools like topic modeling, word frequency count, n-gram model, etc. for Twitter sentiment analysis, Hotel review analysis, News classification, and likes. Under the Computer Vision umbrella, I have worked on Image Classification, Image recognition and Image detection - both for real-time as well as existing data set. For such deep learning, I have generally used CNN in Tensorflow, Keras, Pytorch, Fastai, Sklearn, Pandas.
$42 hourly
Antonis S.
- 5.0
- (4 jobs)
Athens, ATTICA
Computer Vision
Data Mining
GitHub
CI/CD
Mathematics
Exploratory Data Analysis
Dashboard
Python
TensorFlow
Data Science
Deep Learning
Machine Learning
Reinforcement Learning
Physics
Hello there! Nice to check my profile, take your time and check all the sections. Send me a message if you want more info! -Who am I: I am a Data Scientist from Greece that is passionate about doing data science projects in tech. I have three years of working experience in the industry working with different companies both in the Netherlands and Greece -Past Working Experience: In the past, I worked on projects with companies such as Omron, ASML, TE Connectivity, FeedCalculator. -Past Educational Experience: Diploma (Bachelor and Masters ) Applied Mathematics and Physics Master in Nanotechnology Professional Doctorate Engineering in Data Science -Technical Strengths: Language: Python Strong: Machine Learning, Data Mining, Data Analysis, Machine Learning in Production. Moderate: Reinforcement Learning Experienced in Data Engineering skills. Experienced in Docker, Version Control, Deployment (GCP, Azure) CI/CD -Soft Skills: Participated in workshops related to: 1) Creative Thinking 2) Leadership 3) Teamwork 4) Design Thinking 5) System Thinking -Other achievements: 1 Patent in Machine learning and Manufacturing 1 Paper in Machine learning and Nanotechnology I looking forward to hearing your proposal.
Want to browse more talent?
Sign up