computer vision engineer

Infolabs Global

<div>
 
 
 Senior Computer Vision Engineer (VLM)
 
 
 
 
 Location:
 
 Dubai, UAE 🇦🇪
 
 Salary:
 
 10,000 &ndash; 15,000 AED
 
 
 🚀
 
 Hiring: Senior Computer Vision Engineer (VLM Specialist) at Infolabs Global
 
 
 
 We are pushing the boundaries of Multimodal AI. We&rsquo;re looking for a Vision-Language Model (VLM) expert to join our Dubai team to build systems that don't just see, but understand.
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Develop and fine-tune Vision-Language Models (CLIP, LLaVA, Qwen-VL).
 </li>
 <li>
 Architect end-to-end CV pipelines for real-time inference.
 </li>
 <li>
 Optimize large models for deployment on edge and cloud infrastructure.
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 4+ years of experience in Computer Vision.
 </li>
 <li>
 Deep expertise in PyTorch/TensorFlow and OpenCV.
 </li>
 <li>
 Proven track record with Multimodal Learning and Transformers.
 </li>
 </ul>
 
 📩
 
 How to Apply:
 
 Send your CV and Portfolio to sidharthan@infolabsglobal.ai with the subject "CV Engineer - Dubai".
 
 
 #ComputerVision #VLM #AIJobs #DubaiTech #DeepLearning #InfolabsGlobal #Hiring
 
</div>

Senior Computer Vision Engineer (VLM)

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; Data Scientist &ndash; Computer Vision Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dhahran, Eastern, Saudi Arabia
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us :
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 computer vision models
 
 for processing
 
 multiple real-time camera streams
 
 .
 </li>
 <li>
 Build and optimize
 
 deep learning pipelines
 
 using
 
 CNNs
 
 ,
 
 YOLO
 
 ,
 
 Auto-Encoders
 
 ,
 
 Vision-Language Models (VLMs)
 
 , and
 
 OCR models
 
 .
 </li>
 <li>
 Fine-tune and train
 
 YOLO
 
 ,
 
 VLM
 
 , and
 
 OCR models
 
 (such as
 
 PaddleOCR
 
 ) for both
 
 image and video
 
 understanding, including
 
 text detection and recognition
 
 .
 </li>
 <li>
 Collaborate with data engineering teams to develop data annotation pipelines and clean large-scale datasets.
 </li>
 <li>
 Utilize tools such as
 
 Label Studio
 
 or
 
 CVAT
 
 for annotation tasks and ensure high-quality labeled data.
 </li>
 <li>
 Deploy models using
 
 NVIDIA DeepStream
 
 ,
 
 Docker
 
 , and
 
 microservices architecture
 
 for scalable production environments.
 </li>
 <li>
 Develop APIs and backend services using
 
 FastAPI
 
 for model inference and integration.
 </li>
 <li>
 Continuously improve model performance through experimentation, evaluation, and feedback loops.
 </li>
 <li>
 Contribute to the documentation, scaling, and maintenance of vision systems in production.
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with
 
 video analytics
 
 ,
 
 object detection
 
 ,
 
 tracking
 
 ,
 
 segmentation
 
 , and
 
 scene understanding
 
 .
 </li>
 <li>
 Exposure to
 
 edge computing
 
 ,
 
 GPU optimization
 
 , and
 
 model quantization
 
 for real-time deployment.
 </li>
 <li>
 Familiarity with
 
 CI/CD pipelines
 
 and MLOps practices in vision systems.
 </li>
 <li>
 Experience with
 
 large-scale vision datasets
 
 and data curation tools.
 </li>
 </ul>
 
 
 
 
 Thank you for expressing interest in this role at TCS. We will review your application and reach out to you if your profile aligns with our requirements for this opportunity.
 
 
 
 
 
 
 Application Deadline :
 
 31-Mar-2026
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

Data Scientist – Computer Vision Engineer

Avance Consulting

<div>
 
 
 Role:- ML Engineer
 
 
 
 
 Location:- Richardson,TX
 
 
 
 
 Job Type:- FullTime
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 At least 4 years of experience in Information Technology
 </li>
 <li>
 Strong hands-on experience with
 
 MLOps
 
 , model deployment, CI/CD, and monitoring.
 </li>
 <li>
 Proficiency in
 
 Computer Vision frameworks
 
 : OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc
 </li>
 <li>
 Experience deploying
 
 AI models on edge devices
 
 , Deepstream, Nvidia Services
 </li>
 <li>
 Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
 </li>
 <li>
 Hands-on with
 
 containerization
 
 ,
 
 model optimization
 
 , and
 
 hardware acceleration
 
 </li>
 <li>
 Solid understanding of
 
 data pipelines
 
 ,
 
 feature stores
 
 , and
 
 ML model lifecycle
 
 </li>
 <li>
 Implementation of MLOps tools like
 
 Grafana, Prometheus, Poetry, Snyk
 
 and others
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with
 
 GCP cloud services
 
 and Kubernetes
 
 
 </li>
 <li>
 Experienced in Agile way of working, manage team effort and track through JIRA
 </li>
 <li>
 Certifications in GCP, MLOps and Computer vision Technology
 </li>
 <li>
 High Impact client communication
 </li>
 <li>
 Domain experience with Retail Clients
 </li>
 <li>
 Strong problem-solving skills and ability to evaluate multiple solution paths
 </li>
 <li>
 Excellent communication and stakeholder management skills
 </li>
 </ul>
 
 
</div>

ML Engineer

VBeyond Corporation

<div>
 
 
 Role-ML Engineer
 
 
 
 
 Type-Full Time
 
 
 
 
 Location-Richardson, TX
 
 
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 MLOps
 
 , model deployment, CI/CD, and monitoring.
 </li>
 <li>
 Proficiency in
 
 Computer Vision frameworks
 
 : OpenCV, TensorFlow, PyTorch, ONNX, YOLO, etc
 </li>
 <li>
 Experience deploying
 
 AI models on edge devices
 
 , Deepstream, Nvidia Services
 </li>
 <li>
 Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
 </li>
 <li>
 Hands-on with
 
 containerization
 
 ,
 
 model optimization
 
 , and
 
 hardware acceleration
 
 </li>
 <li>
 Solid understanding of
 
 data pipelines
 
 ,
 
 feature stores
 
 , and
 
 ML model lifecycle
 
 </li>
 <li>
 Implementation of MLOps tools like
 
 Grafana, Prometheus, Poetry, Snyk
 
 and others
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with
 
 GCP cloud services
 
 and Kubernetes
 </li>
 <li>
 Experienced in Agile way of working, manage team effort and track through JIRA
 </li>
 <li>
 Certifications in GCP, MLOps and Computer vision Technology
 </li>
 <li>
 High Impact client communication
 </li>
 <li>
 Domain experience with Retail Clients
 </li>
 <li>
 Strong problem-solving skills and ability to evaluate multiple solution paths
 </li>
 <li>
 Excellent communication and stakeholder management skills
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

University of Houston

<div><div><div><div><div><ul><li>495898
</li> </ul></div><div></div><div><ul><li>Part-Time
</li> </ul></div><div></div><div><ul><li>Civil Engineering
</li> </ul></div></div><div></div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div></div><div>Department: Civil Engineering Salary: 20.67 - 23.51
Description:

Provides assistance and expertise in various areas of research such as calibration of instrumentation, equipment maintenance and repair, preparation of samples for testing, monitoring of safety equipment and procedures, development and fabrication of prototype equipment, recording of test results, and basic analyses of data.
 
 
1. Ensures experiments are preformed according to specification.
 
2. May make practical technical recommendations to changes in procedures, equipment, or prototype design.
 
3. Applies basic skill and develops advanced skills.
 
4. Often assists with, and may perform, some advanced functions.
 
5. Solves most routine problems while referring more complex questions to higher levels.
 
6. Receives direct supervision but is expected to select from a variety of standard procedures to complete tasks.
 
 
Join a team building advanced computer vision systems that model and analyze real-world infrastructure through advances in 3D vision and AI. Our mission is to transform how physical infrastructure environments are documented, monitored, and maintained. You&rsquo;ll contribute to research and development efforts focused on creating accurate digital twins, improving anomaly detection models, and integrating visual data with spatial sensors like RGBD and LiDAR. 
 
This Research Engineer (Research Tech 1) role offers the opportunity to work across the full stack of data collection, model training, evaluation, software engineering, and deployment. The role is part-time 20-28 hours/week and ideal for those currently pursuing Masters or PhD degrees. The Research Engineer reports to Dr. Vedhus Hoskere in the College of Engineering/Civil and Environmental Engineering who may also be contacted for questions regarding the position (vhoskere@uh.edu) 
 
Initial appointments will be for one year with the possibility of yearly renewal subject to funding availability.
<div>
Responsibilities 
<ul><li>Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals (33%)</li><li>Conduct full stack development efforts including UI/UX, code maintenance, and deployment pipelines (33%)</li><li>Evaluate and refine AI models using annotated data and real-world image datasets (10%)</li><li>Curate multimodal real and synthetic datasets, including photogrammetry, LiDAR, and depth cameras, to build scalable analysis pipelines (10%)</li><li>Conduct data collection for validation of developed approaches (may involve occasional travel) (2%)</li><li>Collaborate with graduate and undergraduate student researchers (5%)</li><li>Perform other duties as assigned (7%)</li></ul> 

Minimum Qualifications 
<ul><li>Bachelor&rsquo;s degree in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field</li><li>Strong Python programming skills</li><li>1-3 years software engineering experience</li><li>Practical experience with computer vision, ML, or 3D scene understanding</li><li>Ability to work collaboratively across technical teams</li><li>US Citizen</li></ul> 

Preferred 
<ul><li>Master&rsquo;s degree in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field</li><li>Experience with photogrammetry, LiDAR alignment, or large-scale 3D data, and deep learning-based 3D vision and graphics</li><li>Familiarity with image annotation tools and dataset iteration workflows</li><li>Contributions to open-source, research publications, or production ML systems</li></ul> 
MQ: Associate's Degree with 1 year of experience.</div>
All positions at the University of Houston-System are security sensitive and will require a criminal history check.

The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.</div></div></div></div>

Research Technician 2 - Structures and Artificial Intelligence Lab

Cerrion

<div>
 
 
 About Cerrion
 
 
 
 
 
 
 At Cerrion, we&rsquo;re building the future of AI-enabled manufacturing. Backed by Y Combinator and top Silicon Valley investors, we deploy video AI Agents that see what&rsquo;s happening on production floors, spot problems automatically, and intervene in real time to keep production running smoothly, at global scale. Our technology is live in factories across 15+ countries, helping leading manufacturers in glass, beverage, food, CPG, building materials, and wood cut downtime by up to 50%. We&rsquo;re at an inflection point and scaling fast.
 
 
 
 
 
 We are hiring a
 
 Delivery Engineer
 
 .
 
 
 
 
 
 
 Your responsibilities
 
 
 
 
 
 <ul>
 <li>
 Prepare the video data for model training.
 </li>
 <li>
 Train machine learning models, optimizing performance and accuracy using our internal tooling.
 </li>
 <li>
 Monitor and control the results of models using our internal tooling.
 </li>
 <li>
 Deploy models to production environments using our internal tooling.
 </li>
 <li>
 Help our R&amp;D team continuously improve our internal tooling and model pipeline.
 </li>
 <li>
 Collaborate with cross-functional teams to align project goals and deliverables.
 </li>
 </ul>
 
 
 
 
 
 Our requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Proven experience in running machine learning pipelines and deploying models to production.
 </li>
 <li>
 Strong understanding of machine learning concepts, particularly in computer vision.
 </li>
 <li>
 Experience in Linux and Python.
 </li>
 <li>
 Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Excellent problem-solving skills and attention to detail is a must.
 </li>
 <li>
 Good English communication skills, both written and verbal.
 </li>
 <li>
 Ability to work collaboratively in a fast-paced startup environment.
 </li>
 </ul>
 
 
 
 
 
 Nice-to-have
 
 
 
 
 
 <ul>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker.
 </li>
 <li>
 Familiarity with data preprocessing and augmentation techniques in computer vision.
 </li>
 <li>
 Previous experience in a similar role within a startup environment.
 </li>
 <li>
 Contributions to open-source projects in the machine learning or computer vision community.
 </li>
 <li>
 Experience with agile methodologies and project management tools (e.g., Linear).
 </li>
 </ul>
 
 
 
 
 
 Why Cerrion
 
 
 
 
 
 
 As an early employee, you are given the chance to join this world-class team and substantially shape the future of a Y Combinator-backed company and be part of its success. Working at Cerrion also enables you to gain unique exposure and impact into different manufacturing industries. Apart from the excitement of building novel technology which has the potential to revolutionize one of the world&rsquo;s biggest industries, we offer:
 
 
 
 
 <ul>
 <li>
 Flat hierarchies, where you work directly with the founders and are part of key decisions
 </li>
 <li>
 A dynamic, unbureaucratic environment with a &ldquo;get things done&rdquo; mentality
 </li>
 <li>
 International and talented team of start-up professionals
 </li>
 <li>
 Opportunity to strongly impact future of a fast-growing company
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 Exposure to real-life and practical AI applications
 </li>
 <li>
 A stimulating and challenging work environment with opportunities for personal and professional growth
 </li>
 </ul>
 
 
 
 
 
 
</div>

Delivery Engineer

Energize Group

<div>
 
 
 Senior Machine Learning Engineer, Perception R&amp;D
 
 
 
 📍 Boston, MA (Hybrid)
 
 
 
 
 
 Our client, a fast-growing and well-funded robotics company, is looking for a
 
 Senior Machine Learning Engineer (Perception R&amp;D)
 
 to help push the boundaries of robotic perception in real-world warehouse environments.
 
 
 
 
 
 This is an opportunity to work at the intersection of
 
 robotics, computer vision, and foundation models
 
 , solving some of the hardest problems in automation. You will be focused on enabling robots to understand and manipulate complex, unpredictable environments by leveraging
 
 Vision-Language Models, Generative AI, and large-scale foundation models
 
 .
 
 
 
 
 
 The team is tackling the &ldquo;long tail&rdquo; of real-world perception problems such as
 
 novel packaging, damaged goods, occlusions, and challenging lighting conditions
 
 , and translating cutting-edge research into
 
 robust systems deployed on real robots operating at scale
 
 .
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 &bull; Develop ML strategies to detect and handle rare or unexpected events in robotic perception pipelines
 
 
 &bull; Adapt and fine-tune
 
 foundation models and vision-language models
 
 for robotic manipulation tasks
 
 
 &bull; Build systems capable of
 
 zero-shot or few-shot generalization
 
 in real-world warehouse environments
 
 
 &bull; Distill large, compute-heavy models into
 
 efficient, low-latency networks for edge deployment
 
 (NVIDIA Orin)
 
 
 &bull; Translate academic breakthroughs in
 
 computer vision and machine learning
 
 into production-ready robotics systems
 
 
 &bull; Mentor junior engineers and contribute to technical direction within the perception and ML team
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 &bull; 5+ years of experience in
 
 computer vision and deep learning
 
 , ideally in applied research or advanced R&amp;D
 
 
 &bull; Strong experience with modern ML architectures including
 
 Transformers (ViT), self-supervised learning, VLMs, or zero-shot detection
 
 
 
 &bull; Expert-level
 
 Python and PyTorch
 
 skills
 
 
 &bull; Experience tackling difficult perception challenges such as
 
 occlusions, reflective surfaces, and variable lighting
 
 
 
 &bull; Experience with
 
 model distillation, quantization, or deploying ML models to edge hardware
 
 
 
 &bull; Ability to communicate complex AI research concepts to engineering and product stakeholders
 
 
 &bull; Familiarity with
 
 Docker, AWS/GCP, experiment tracking tools, and modern ML infrastructure
 
 
 
 
 
 
 Why This Role?
 
 
 You&rsquo;ll be joining a company building
 
 real-world robotic systems deployed in logistics environments
 
 , where the impact of your work will be immediate and tangible. The team is focused on shipping production systems that combine
 
 AI, robotics, and machine learning
 
 to automate physically demanding warehouse tasks.
 
 
 
 
 
 Compensation &amp; Benefits
 
 
 &bull; Salary range: Up to
 
 $200k
 
 
 
 &bull; Equity in a high-growth robotics company
 
 
 &bull; Health, dental, and vision insurance
 
 
 &bull; 401k with employer contribution
 
 
 &bull; Unlimited vacation
 
 
 &bull; Opportunity to work on
 
 cutting-edge robotics systems deployed in the real world
 
 
 
 
 
 
 📩 If you're interested in applying
 
 or would like to learn more
 
 , feel free to message me directly.
 
</div>

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10000 computer vision engineer jobs Near Me

Senior Computer Vision Engineer (VLM)

Data Scientist – Computer Vision Engineer

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Machine Learning Engineer

Research Technician 2 - Structures and Artificial Intelligence Lab

Delivery Engineer

Machine Learning Engineer