computer vision engineer

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world&rsquo;s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
 
 
 You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Improve the performance of our models and algorithms already in production
 </li>
 <li>
 Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam
 </li>
 <li>
 Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines
 </li>
 <li>
 Convert state-of-the-art research prototypes into reliably working product features
 </li>
 <li>
 Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features
 </li>
 <li>
 Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.
 </li>
 <li>
 Build automated deployment, validation, and active learning pipelines.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field.
 </li>
 <li>
 Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred)
 </li>
 <li>
 Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches.
 </li>
 <li>
 Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
 </li>
 <li>
 Strong experience in Python or C++
 </li>
 <li>
 Hands-on experience in building embedded algorithms and applications
 </li>
 <li>
 Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
 </li>
 <li>
 Prior experience with Eigen library and RTOS is a strong plus
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here.
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Computer Vision Engineer

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 :
 
 28-Feb-2026
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

Data Scientist – Computer Vision Engineer

Tjara.ca

Company: PCMCI Quantum Location: DHA Phase 6, Karachi (Onsite) Job Type: Full-Time Experience Required: 0&ndash;2 YearsJob Timings: 2 pm to 10pm Monday to FridayIntroductionAt PCMCI Quantum, you&rsquo;ll have the opportunity to be part of a visionary team that&rsquo;s transforming AI-powered security solutions for the real world. Working on cutting-edge AI technology, make a real impact, and accelerate your career in a dynamic and fast-growing field.Key ResponsibilitiesAs a Computer Vision Engineer at PCMCI Quantum, you will be responsible for:- Developing, training, and fine-tuning computer vision models for detecting people and firearms in video streams. - Work with object detection models (e.g., YOLO, Faster R-CNN, SSD). - Optimize models for real-time inference on RTSP streams. - Improve detection accuracy while minimizing false positives. - Collect, clean, annotate, and manage image and video datasets for object and person detection. - Perform data augmentation (lighting, occlusion, angles, motion blur). - Collaborate with backend engineers to integrate models into the production system. - Evaluate model performance using metrics like precision, recall, mAP, and inference latency. - Optimize models for deployment on GPU-based systems. - Assist in converting models for optimized runtimes (e.g., TensorRT &ndash; optional).Required QualificationsWe are looking for a MALE Candidate with:- Bachelor&rsquo;s degree (or final-year student) in Computer Science, AI, ML, Data Science, Electronics, or a related field. - Strong fundamentals in Machine Learning and Deep Learning. - Hands-on experience with Python. - Experience with at least one deep learning framework: PyTorch (preferred) or TensorFlow. - Understanding of Computer Vision concepts: Object detection, Bounding boxes, CNNs. - Basic experience with OpenCV and image/video preprocessing. - Familiarity with Linux environments.Preferred / Good-to-Have SkillsIt would be a bonus if you have:- Experience with YOLO (v5/v8/v11) or similar detection frameworks. - Exposure to RTSP video streams, FFmpeg, or GStreamer. - Basic understanding of GPU acceleration (CUDA concepts). - Experience working on academic or personal ML projects. - Familiarity with Docker (not mandatory).BonusExperience with video stream processing or multi-camera systems.Why Join Us?Work on real-world, impactful applications of AI and computer vision. Join a collaborative team at the forefront of intelligent systems development. Competitive salary and career growth opportunitiesJob Type: Full-timeApplication Question(s):<ul><li>Age?</li><li>Current Salary?</li><li>Expected Salary?</li><li>Notice Period Details?</li><li>Wiling to work in Second Shift ( 2pm to 10 pm )</li></ul>Work Location: In person

Computer Vision Engineer - DHA Phase 6 - From 2PM to 10PM

Nexasprint Technologies Private Limited

Job Title: Machine Learning Engineer &ndash; Computer VisionLocation: Pune Experience: 4&ndash;6 Years Employment Type: Full-Time Industry: Automotive Manufacturing / AI / Computer VisionAbout the RoleWe have recently won a large-scale Machine Learning project with a leading vehicle Manufacturer. We are seeking a highly skilled Machine Learning Engineer to design and deploy advanced defect detection solutions using Computer Vision and Deep Learning techniques in a manufacturing environment.You will work on real-world industrial inspection systems involving image/video data from production lines, ensuring high-accuracy detection of surface, structural, and assembly defects.Key Responsibilities<ul><li>Design, develop, and deploy ML/DL models for automated defect detection.</li><li>Build end-to-end computer vision pipelines (data preprocessing &rarr; model training &rarr; validation &rarr; deployment).</li><li>Work with image datasets from production lines (high-resolution industrial cameras).</li><li>Develop and optimize CNN-based models (classification, detection, segmentation).</li><li>Improve model performance using data augmentation and advanced techniques.</li><li>Deploy models on edge devices or cloud infrastructure.</li><li>Collaborate with manufacturing, quality, and data engineering teams.</li><li>Monitor model performance and retrain as needed.</li><li>Document technical designs and maintain best coding practices.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>Strong experience in Python.</li><li>Hands-on experience with:</li><li>TensorFlow / PyTorch</li><li>OpenCV</li><li>Scikit-learn</li><li>NumPy, Pandas</li><li>Experience with:</li><li>Object Detection models (YOLO, Faster R-CNN, SSD)</li><li>Image Segmentation (U-Net, Mask R-CNN)</li><li>CNN architectures</li><li>Experience handling imbalanced datasets.</li><li>Strong understanding of model evaluation metrics (Precision, Recall, F1, mAP).</li><li>Experience deploying models via REST APIs or edge devices.</li><li>Knowledge of MLOps concepts (CI/CD for ML models) is a plus.</li></ul>Preferred Qualifications<ul><li>Experience in automotive or manufacturing defect detection.</li><li>Knowledge of edge AI deployment (NVIDIA Jetson, ONNX, TensorRT).</li><li>Familiarity with cloud platforms (AWS / Azure / GCP).</li><li>Experience working with real-time image processing systems.</li></ul>Job Types: Full-time, PermanentPay: ₹900,000.00 - ₹1,500,000.00 per yearBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

Machine Learning Engineer – Computer Vision

Htech Solution Pvt. Ltd.

Job Title: AI Engineer / AI SpecialistIndustry: IT Security &amp; Surveillance Location: Karachi Experience: 3&ndash;5 YearsJob SummaryWe are looking for an AI Engineer to design, develop, and implement artificial intelligence solutions for security and surveillance systems. The role focuses on enhancing monitoring capabilities, automating threat detection, and improving operational efficiency through AI-driven technologies.Key Responsibilities<ul><li>Develop and deploy AI/ML models for surveillance and security applications.</li><li>Implement computer vision solutions such as object detection, facial recognition, and behavior analysis.</li><li>Integrate AI solutions with command &amp; control platforms, and monitoring tools.</li><li>Build predictive analytics models for threat detection and anomaly identification.</li><li>Optimize AI models for real-time processing and performance.</li><li>Collaborate with IT, networking, and cybersecurity teams for secure system deployment.</li><li>Maintain AI pipelines including data preprocessing, training, validation, and deployment.</li><li>Monitor model performance and continuously improve accuracy.</li><li>Ensure compliance with cybersecurity and data privacy standards.</li></ul>Required Skills &amp; Qualifications<ul><li>Strong knowledge of Machine Learning and Deep Learning concepts.</li><li>Experience with Python and AI frameworks (TensorFlow, PyTorch, OpenCV).</li><li>Knowledge of computer vision and video analytics.</li><li>Experience with REST APIs and system integration.</li><li>Understanding of data structures, algorithms, and model optimization.</li><li>Familiarity with cloud or edge AI deployment is a plus.</li></ul>Preferred Skills<ul><li>Experience in surveillance systems or security environments.</li><li>Knowledge of real-time analytics and AI automation.</li><li>Exposure to smart city or command &amp; control center projects.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer / AI Specialist

LN Technologies

We are looking for a AI/ML Engineer who is passionate about Artificial Intelligence and eager to work on real-world AI systems including Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, and Time-Series models.This role is ideal for someone with strong fundamentals in ML and Python who wants to grow into a production AI engineer.You will work under senior engineers to build, test, and deploy AI models in real-world applications.Key ResponsibilitiesMachine Learning Development<ul><li>Assist in building and training ML/DL models</li><li>Perform data preprocessing and feature engineering</li><li>Train and evaluate models using Python libraries</li><li>Run experiments and document results</li></ul>Computer Vision (Basic to Intermediate)<ul><li>Work with image datasets (classification, detection, segmentation)</li><li>Assist in implementing:</li><li>YOLO models</li><li>CNN-based classifiers</li><li>Image embedding models</li><li>Use OpenCV for image processing</li></ul>NLP &amp; Generative AI (Foundational Level)<ul><li>Work with transformer models (BERT, GPT, etc.)</li><li>Build basic:</li><li>Text classification</li><li>Summarization</li><li>Chatbot pipelines</li><li>Assist in implementing:</li><li>RAG systems</li><li>Embedding-based search</li><li>Prompt engineering experiments</li></ul>Time Series &amp; Predictive Modeling<ul><li>Build simple forecasting models</li><li>Work with:</li><li>ARIMA</li><li>Prophet</li><li>LSTM (basic understanding)</li><li>Analyze trends and detect anomalies</li></ul>Deployment &amp; MLOps (Basic Level)<ul><li>Build simple APIs using FastAPI or Flask</li><li>Assist in Dockerizing ML models</li><li>Understand basic cloud deployment concepts</li><li>Learn about model monitoring and logging</li></ul>Required Skills (Must Have)Technical<ul><li>Strong Python programming</li><li>Good understanding of:</li><li>Machine Learning fundamentals</li><li>Supervised vs Unsupervised learning</li><li>Overfitting/Underfitting</li><li>Model evaluation metrics</li><li>Experience with:</li><li>PyTorch or TensorFlow (at least one)</li><li>Scikit-learn</li><li>Pandas, NumPy</li><li>Basic understanding of Deep Learning concepts</li><li>Familiarity with Git</li></ul>Computer Vision<ul><li>Understanding of CNNs</li><li>Worked on at least one image-based project</li></ul>NLP<ul><li>Basic understanding of transformers</li><li>Experience using HuggingFace (preferred)</li></ul>Soft Skills<ul><li>Strong problem-solving mindset</li><li>Willingness to learn</li><li>Ability to read documentation and research papers</li><li>Good communication skills</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or related field</li></ul>Experience:<ul><li>2 to 3 years</li></ul>What Candidate Should Demonstrate<ul><li>GitHub with ML/DL projects</li><li>Kaggle participation (optional but good)</li><li>At least 2&ndash;3 real ML projects:</li><li>Image classification</li><li>NLP project</li><li>Predictive modeling project</li></ul>Bonus Points (Nice to Have)These are NOT mandatory but will strongly increase selection chances:<ul><li>Experience with:</li><li>YOLO (v5/v8)</li><li>Vision Transformers (ViT, DINOv2)</li><li>CLIP embeddings</li><li>Worked on:</li><li>RAG pipelines</li><li>Vector databases (FAISS, Pinecone)</li><li>Fine-tuned an LLM (LoRA / QLoRA)</li><li>Built and deployed a model using FastAPI</li><li>Used Docker</li><li>Experience with Azure / AWS</li><li>Experience handling large datasets</li><li>Knowledge of SQL</li><li>Basic understanding of distributed training</li><li>Open-source contributions</li><li>Strong math background (linear algebra, probability)</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience with time-series forecasting models like ARIMA, Prophet, or LSTM?</li><li>Please share your current package. </li><li>Please share your expected package. </li><li>How soon can you join?</li><li>Do you have at least 2&ndash;3 years of experience working with Machine Learning models using Python libraries (e.g., PyTorch, TensorFlow, Scikit-learn)?</li><li>Have you worked on at least one image-based project involving Convolutional Neural Networks (CNNs) or image classification?</li><li>Are you familiar with transformer models (e.g., BERT, GPT) and have experience using libraries like HuggingFace for NLP tasks? </li><li>Have you built and deployed an ML model using FastAPI or Flask, including Dockerizing the model? </li></ul>Work Location: In person

Senior AI/ML Developer (Morning Shift)

Astrik

We&rsquo;re Hiring: AI Engineer (Onsite)Are you passionate about Artificial Intelligence and eager to work on cutting-edge projects that push the boundaries of what&rsquo;s possible?We&rsquo;re looking for talented AI Engineers with 1&ndash;5 years of experience to join our innovative team!What You&rsquo;ll Do:Design, develop, and deploy AI and ML models for real-world applications.Work across areas such as Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Generative AI (LLMs, diffusion models, etc.).Integrate AI models into scalable backend systems and APIs.Research and experiment with the latest tools and frameworks to improve performance and accuracy.Technical Skills We&rsquo;re Looking For:Programming: Python (NumPy, Pandas, Scikit-learn), JavaScript/TypeScript (optional)Deep Learning Frameworks: TensorFlow, PyTorch, KerasNLP &amp; LLMs: Hugging Face Transformers, LangChain, OpenAI API, vector databases (Pinecone, FAISS, Chroma)Computer Vision: OpenCV, YOLO, Detectron2, CLIP, Stable DiffusionMLOps: MLflow, Docker, Kubernetes, FastAPI, RESTful API integrationData Engineering: SQL, ETL pipelines, data preprocessing, feature engineeringCloud &amp; Deployment: AWS, Azure, or Google Cloud (SageMaker, Vertex AI, etc.)Bonus Skills: Prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuningExperience Required: 1 to 5 yearsLocation: Onsite (details will be shared during the interview)Salary: Competitive &mdash; based on skill set and experienceIf you love building intelligent systems, experimenting with AI models, and collaborating with passionate innovators &mdash; we&rsquo;d love to meet you!Job Type: Full-timeWork Location: In person

AI Engineer (Onsite)

Search 10000+ Computer vision engineer jobs near you this February. New roles added regularly across leading industries. Apply today.