355 Computer Vision jobs in Hyderabad

Candidate should be able to:
Manage the annotation of datasets via external vendors
Create and manage Kubernetes clusters of cloud-based CV products
Select and manage external vendors and dev teams to support our projects
Create mobile and cloud-based CNNs for object classification
Design, engineer, and manage our system architecture and data strategy
work with our internal engineering team to create new products
Use phone-based LiDAR as ground truth annotation for training sets
Train ML models to an approximate distance within images
understand and apply 2D and 3D mathematical concepts (linear algebra, matrix multiplication, quaternions, etc)

Candidate should have:
Experience Testing, diagnosing and fixing bugs
Experience building web apps, APIs, and SDKs
Capacity to prioritize tasks through self-directed time management and organization
Experience with Detectron 2, TensorFlow & TensorFlow3D, AlexNet, MXnet, Kubernetes, and other ML frameworks
Experience deploying CV models on a mobile device (iOS preferred)
4-6 years working on deployed CV projects
Experience with React, Node.js, and/or MongoDB
Strong Python, C++, Objective C and/or Swift, Pytorch, and javascript coding proficiency
.3D content experience, dealing with point clouds, 3D meshes, shaders, rendering pipelines, and procedural content generation
Unity/Unreal experience or 3D content creation experience (Blender, Maya, Houdini, Rhino, etc)

Job Overview:
Master-Works is looking for a skilled Computer Vision Engineer to join our innovative team. In this role, you will leverage your expertise in image processing and machine learning to design and implement advanced computer vision solutions. Your contributions will be pivotal in enhancing our product offerings and developing state-of-the-art technology to solve real-world challenges.

Experience:  4-12 years
Location:  Hyderabad (5 Days Work from Office)
Working Days:  Sunday to Thursday
Working Hours:  10AM to 6PM

Key Responsibilities:

• Develop and optimize algorithms for various computer vision applications.
• Utilize OpenCV, Python, and deep learning frameworks to train and deploy models.
• Explore and implement techniques such as object detection, segmentation, and classification.
• Conduct research on cutting-edge technologies and validate through proof of concepts (POCs).
• Collaborate with cross-functional teams to integrate computer vision solutions across products.
• Document and present research findings and technical solutions to stakeholders.

Requirements

• Strong programming skills in C++ and Python (Mandatory)
• Expertise in Object Detection and Computer Vision techniques (Mandatory)
• Experience with deep learning frameworks such as Keras, TensorFlow, or PyTorch (Mandatory)
• Solid understanding of Image Processing fundamentals (Mandatory)
• Knowledge of Machine Learning, Data Science, and Pattern Recognition.
• Experience with deployment practices (Docker, Kubernetes, etc.)
• Familiarity with SQL and Flask for data management and web service development is a plus.
• Excellent problem-solving skills and ability to work independently or as part of a team.

Our client is at the forefront of innovation and is seeking a brilliant and driven AI Research Scientist specializing in Computer Vision to join their advanced research team. This role is fully remote, allowing you to contribute to groundbreaking AI advancements from anywhere. You will be instrumental in conceptualizing, developing, and implementing state-of-the-art computer vision algorithms and models. This includes tasks such as object detection, image segmentation, facial recognition, and 3D reconstruction. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. Proven experience in deep learning frameworks like TensorFlow, PyTorch, or Keras is mandatory. Expertise in programming languages such as Python is essential, along with a deep understanding of linear algebra, calculus, and probability. Responsibilities involve conducting cutting-edge research, designing novel AI architectures, experimenting with large-scale datasets, and publishing research findings. You will collaborate with a world-class team of researchers and engineers, pushing the boundaries of what's possible in AI. This role requires a highly creative and analytical mind, with the ability to think abstractly and solve complex, open-ended problems. Strong communication skills are needed to present research results and collaborate effectively with colleagues globally. As a remote scientist, you must be highly self-motivated, organized, and adept at managing your research projects independently. We are looking for individuals who are passionate about making significant contributions to the field of artificial intelligence and developing AI solutions that can shape the future. This is a unique opportunity to work on challenging problems with significant societal and technological impact. The research conducted will focus on novel applications of AI in areas like autonomous systems, medical imaging, and advanced robotics. Join a team that values scientific rigor, innovation, and collaborative discovery. This position is technically located in **Hyderabad, Telangana, IN**, but is executed entirely remotely.

Our client, a trailblazer in artificial intelligence and machine learning, is seeking a highly accomplished Principal AI Engineer with expertise in Computer Vision to join their elite, fully remote team. This position is integral to developing next-generation AI solutions that redefine industry standards. The ideal candidate will possess deep technical knowledge in AI/ML, a passion for innovation, and the ability to lead complex projects from ideation to deployment in a distributed setting.

Responsibilities:

• Lead the design, development, and implementation of advanced computer vision algorithms and deep learning models for various applications.
• Architect robust and scalable AI systems, ensuring high performance and efficiency.
• Conduct research into state-of-the-art computer vision techniques and evaluate their applicability to business challenges.
• Mentor and guide a team of AI engineers and data scientists, fostering a collaborative and innovative environment.
• Collaborate with product managers and other stakeholders to translate business requirements into technical solutions.
• Develop and optimize deep learning frameworks (e.g., TensorFlow, PyTorch) for model training and inference.
• Manage the end-to-end machine learning lifecycle, including data preprocessing, model selection, training, evaluation, and deployment.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision research.
• Publish findings in top-tier AI conferences and journals, and contribute to open-source projects.
• Ensure the ethical and responsible development and deployment of AI systems.
• Drive technical strategy and roadmap for AI/ML initiatives within the organization.
• Build and maintain strong relationships with the AI research community.
• Optimize models for deployment on edge devices or cloud platforms.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 10+ years of experience in AI/ML, with a significant focus on computer vision and deep learning.
• Proven track record of leading impactful AI projects from conception to production.
• Expertise in deep learning architectures (CNNs, RNNs, Transformers) and frameworks (TensorFlow, PyTorch, Keras).
• Strong programming skills in Python, C++, and associated libraries (NumPy, SciPy, OpenCV).
• Experience with large-scale datasets and distributed training.
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and leadership abilities, with experience mentoring engineers.
• A portfolio of impactful projects and publications in leading AI venues.

This is a fully remote opportunity, allowing you to work from anywhere while contributing to groundbreaking AI innovation.

Company Description

Liger Mobility is committed to transforming the two-wheeler experience by leveraging core sciences and IoT. Our vision focuses on creating unparalleled human-machine interactions for two-wheelers, which are crucial for daily commute in developing economies. We aim to bridge the technological gap seen in other consumer tech products and bring two-wheelers into the modern era.

Role Description

This is a full-time, on-site role for a Lead - ADAS Computer Vision / Perception role located in Mumbai.

We are looking for a senior Computer Vision / Perception expert for ADAS perception team. This role will be responsible for developing camera-based perception algorithms, building sensor fusion capabilities, and creating scalable pipelines that enable advanced driver assistance features. The candidate will act as the foundational technical leader, driving both hands-on development and team building.

Key Responsibilities

Computer Vision & Perception Development

• Design and implement perception algorithms for object detection, tracking, lane detection, drivable area segmentation, and free space estimation.
• Develop multi-sensor fusion (camera + radar + LiDAR optional) for robust perception.
• Optimize algorithms for real-time performance on automotive-grade hardware (NVIDIA, Qualcomm, Renesas, TI etc.).
• Ensure perception pipeline robustness under diverse lighting, weather, and road conditions.

System & Integration

• Define perception requirements and KPIs aligned with ADAS features and NCAP regulations.
• Work closely with planning & control teams to ensure perception outputs meet latency and accuracy needs.
• Integrate with embedded software frameworks (ROS2, AUTOSAR, middleware).
• Collaborate with vehicle integration engineers for sensor calibration and validation.

Leadership & Roadmap

• Build and mentor a team of computer vision and ML engineers.
• Define a scalable perception roadmap (from L1/L2 to L2+ features).
• Drive data collection, labeling, and dataset curation strategies.
• Collaborate with external partners, Tier-1 suppliers, and research labs.

Required Qualifications

• 7–10 years of experience in computer vision for ADAS, robotics, or autonomous driving.
• Strong expertise in deep learning for perception (detection, segmentation, tracking).
• Hands-on experience with CNNs, transformers, multi-task learning (PyTorch/TensorFlow).
• Background in sensor calibration, camera models, and 3D geometry.
• Experience deploying ML models on embedded/edge hardware (TensorRT, ONNX, OpenVX).
• Strong programming skills in C++ and Python; exposure to CUDA/OpenCL.
• Familiarity with automotive development processes (ISO 26262, ASPICE, SOTIF).

Preferred/Bonus Skills

• Experience with multi-sensor fusion (camera + radar/LiDAR).
• Familiarity with SLAM, HD maps, or localization.
• Prior experience in ADAS production programs (e.g., NCAP AEB, LKA).
• Simulation & validation experience (CARLA, IPG CarMaker, dSPACE).
• Exposure to active safety testing protocols (Euro NCAP, US NCAP, AIS).

Personality / Fit

• Strong mix of research depth + production mindset.
• Comfortable with building and leading teams
• Hands-on, but also strategic about roadmap and scaling.
• Enjoys working at the interface of AI, embedded systems, and vehicle testing.

Visionify is working on bringing the power of Computer Vision and AI for everyday use-cases. We are looking to hire a strong, motivated and enthusiastic Sr. Computer Vision Engineer to execute our roadmap.
As a Sr. Computer Vision Engineer, you will be working on the state-of-the art challenges in the field of Computer Vision & solving them with novel algorithms and optimizations. Majority of our work is focused on applied Computer Vision - so a good understanding of current state of the art of models (Classification, Object detection, Object Recognition, OCR, LayoutML, GAN etc networks). You will be working on Pytorch as primary language - so prior demonstrated knowledge of Pytorch is must for this position. Any experience with Azure, Azure ML Studio framework etc., would also be preferable. 
Candidates are expected to stay current with the latest features and contribute to the open-source Pytorch project with a focus on performance and accuracy improvements. You deeply understand the PyTorch framework and underlying implementations to solve customer challenges., and provide insights into how key issues affect the product. Many of our models get deployed to the edge - so experience in optimizing and pruning models, converting models to NVIDIA TensorRT etc would be preferable. 
You must possess excellent Python coding skills - as Python is used throughout our organization to build training and inference pipelines. Candidates should have excellent communication and presentation skills. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
Responsibilities:
Understanding business objectives and developing Computer Vision based solutions that help achieve it. The software could involve training framework, inference framework, working with different technologies for ML.

You will build models and solutions with Pytorch. You will optimize the Pytorch models for different runtime environments including NVIDIA Jetson TensorRT.


Guide the development team with their works, unblock their questions, help accelerate their deliverables.Developing ML/Computer Vision algorithms that could be used to solve a given problem.

Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Develop processes for different common operations of the team: data acquisition, model training, prototype development. 

Finding open-source datasets for prototype development.

Develop pipelines for data processing, augmentation, training, inference and active retraining.

Training models and tuning their hyperparameters

Analyzing the errors of the model and designing strategies to overcome them

Deploying models to production

Requirements:
Bachelors/Masters degree in Computer Science/Computer Engineering/IT or related fields.

5+ years of experience. Exceptional candidates with less experience are welcome to apply.

Industry experience working in Image & Video Processing (OpenCV, GStreamer, Tensorflow, PyTorch, TensorRT, Model Training/Inference, Video Processing Pipelines, Different GStreamer Convertors etc).

Sound knowledge of various deep learning classification models including ResNet, Inception, VGG etc and object detection models including MobileNetSSD, Yolo, FastRCNN, MaskRCNN etc.

Good knowledge of Pytorch, Torchvision, writing training routines. Ability to update models, add/drop features, visualize how the model is performing etc.

Experience in Colab and Jupyter Notebook

Familiarity with CUDA/GPU

Knowledge of CNN visualization techniques such as CAM, GradCAM etc.

Strong understanding of Computer Vision and Real-time Video Processing techniques.

Strong experience with Python and writing reusable code.

Experience working with OpenCV and Scikit packages.

Experience with the NVIDIA platform (NVIDIA Deepstream, TensorRT).

Experience with Python web framework, e.g. Flask, Django or FastAPI

Experience with different ML platforms: PyTorch, TensorFlow.

Proficiency with AWS SageMaker

Experience with databases (Elasticsearch, SQL, NoSQL, Hive, …)

Experience in a cloud environment for software development and deployment (AWS preferred)

Experience with utilising various GPU-based training infrastructures.

Experience with Docker 

Knowledge of DevOps and MLOps best practices for production Machine Learning systems.

Desired Traits:
Thrive in a collaborative environment.

Flexible with changing requirements.

Come up with innovative solutions.

Keen focus on work quality & developing robust code.

Our client is at the forefront of AI and Emerging Technologies, and they are looking for a highly skilled Senior AI/ML Engineer specializing in Computer Vision to join their dynamic team. This fully remote role will focus on developing and deploying cutting-edge computer vision models and applications that drive innovation across various sectors. The ideal candidate will possess a strong theoretical foundation in machine learning, deep expertise in computer vision algorithms, and practical experience in implementing AI solutions.

Key Responsibilities:

• Design, develop, train, and evaluate state-of-the-art computer vision models for tasks such as object detection, image segmentation, facial recognition, and scene understanding.
• Implement and optimize deep learning algorithms using frameworks like TensorFlow, PyTorch, or Keras.
• Process and analyze large-scale image and video datasets, ensuring data quality and integrity.
• Develop pipelines for data annotation, preprocessing, and augmentation.
• Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
• Stay current with the latest research and advancements in computer vision and deep learning.
• Deploy trained models to production environments, ensuring scalability and performance.
• Conduct experiments, analyze results, and present findings to technical and non-technical stakeholders.
• Write clean, efficient, and well-documented code in Python or other relevant languages.
• Contribute to the design and architecture of AI systems and infrastructure.
• Troubleshoot and debug issues in model training and inference.
• Mentor junior engineers and contribute to the team's technical growth.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of hands-on experience in developing and deploying computer vision models.
• Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, OpenCV).
• Deep understanding of computer vision algorithms, image processing techniques, and deep learning architectures (CNNs, RNNs, Transformers).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and collaboratively in a remote team setting.
• Experience with big data technologies is a plus.

This is a 100% remote position. Join our client's innovative AI team and contribute to groundbreaking advancements in emerging technologies.

Our client , a cutting-edge AI research and development firm, is looking for an exceptional Lead AI Research Scientist specializing in Computer Vision to join their innovative, fully remote team. This position is critical for driving advancements in artificial intelligence, focusing on developing novel algorithms and models for image and video analysis, object detection, recognition, and scene understanding. You will lead a team of talented researchers and engineers in exploring new frontiers in computer vision and translating theoretical concepts into practical applications.

The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in top-tier AI conferences and journals. Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras is essential, alongside a deep understanding of machine learning, neural networks, and computer vision techniques. You will be responsible for designing and implementing complex AI models, conducting rigorous experimentation, and contributing to the intellectual property of the company. Strong leadership, collaboration, and communication skills are vital for success in this remote-first environment.

Responsibilities:

• Lead AI research initiatives in computer vision.
• Develop and implement state-of-the-art computer vision algorithms and models.
• Design and conduct experiments to evaluate model performance.
• Collaborate with engineering teams to integrate AI models into production systems.
• Publish research findings in leading conferences and journals.
• Mentor and guide junior researchers and engineers.
• Stay updated with the latest advancements in AI and computer vision.
• Contribute to the company's AI strategy and roadmap.
• Manage project timelines and deliverables for research projects.

Qualifications:

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• 7+ years of research experience in computer vision and deep learning.
• Proven expertise in developing and deploying computer vision models (e.g., CNNs, RNNs, Transformers).
• Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras).
• Strong programming skills in Python and relevant libraries (NumPy, OpenCV).
• Excellent research, analytical, and problem-solving abilities.
• Strong publication record in relevant AI venues.
• Demonstrated leadership and team management skills.
• Excellent communication and interpersonal skills for effective remote collaboration.

This is a premier opportunity to shape the future of AI from anywhere, contributing to groundbreaking research in the field of computer vision.