13 Image Processing jobs in Chennai

Senior Software Engineer II -
Anti-Spoofing/Liveness Detection
Shape the Future of Biometric Security with Us
Are you excited by the opportunity to create innovative software that makes a positive difference for people and communities?
Do you value collaboration, enjoy supporting the growth of others, and approach challenges with creativity and determination?
About the Business
LexisNexis Risk Solutions is a leading partner in risk assessment. Within our Business Services division, we deliver solutions that empower organizations of all sizes to achieve revenue growth, streamline operations, and enhance customer experiences. Our technologies play a critical role in anti-money laundering and counter-terrorist financing, identity authentication and verification, fraud and credit risk mitigation, and customer data management. Learn more about LexisNexis Risk at the Team
Join a diverse and welcoming team of engineers passionate about building a world-class platform to address identity fraud on a global scale. We believe that everyone brings unique perspectives and strengths, and we encourage applications from people of all backgrounds and experiences.
About the Role
As an Anti-Spoofing/Liveness Detection Engineer, you will help design and develop advanced systems to detect and prevent spoofing attacks in biometric authentication. You will apply machine learning and deep learning to distinguish genuine interactions from fraudulent ones, ensuring secure and accessible digital experiences for all users.
Responsibilities
+ Design and develop liveness detection systems using AI algorithms to separate real from fake biometric data, analyzing features such as facial characteristics, eye movements, and other physiological signals.
+ Build and optimize deep learning models tailored for liveness detection, selecting and refining algorithms to achieve high accuracy and reliability.
+ Engage in feature engineering by identifying and extracting important patterns from biometric data, including texture analysis, motion-based detection, and 3D depth analysis.
+ Work with data scientists and team members to collect, clean, and prepare large datasets for model training, ensuring data quality and representativeness.
+ Implement machine learning algorithms to process real-time biometric data, integrating multiple modalities like facial recognition, fingerprint scanning, and iris recognition.
+ Test and validate liveness detection systems thoroughly to ensure strong performance in real-world situations and validate models against a variety of spoofing techniques.
+ Deploy, monitor, and maintain liveness detection systems in production, ensuring scalability and high performance. Proactively identify and address any accuracy or efficiency issues.
Requirements
+ Understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch.
+ Experience developing deep learning models.
+ Programming skills in Python, Java, or R (or similar languages) for model development and algorithm implementation.
+ Strong analytical and problem-solving abilities, with a familiarity with statistics, probability, and data analysis techniques.
+ Ability to work collaboratively with cross-functional teams-including data scientists, software engineers, and product managers-to achieve shared goals.
Preferred, but Not Required
+ Experience in anti-spoofing or biometric security systems.
+ Familiarity with standards such as NIST ISO/IEC 30107 or FIDO.
+ A passion for continuous learning and keeping up with the latest advancements in AI and machine learning.
We are committed to creating an accessible and supportive workplace. If you need reasonable accommodation(s) to participate in the application process or to perform this job, please let us know. We value every candidate's potential and welcome applications from all qualified individuals, including those from underrepresented and non-traditional backgrounds.
Learn more about the LexisNexis Risk team and our culture here ( are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Job Title: Computer vision Engineer

Location: Chennai, India

Employment Type: Full-Time

Reports To: CMD ( later to the CTO)

Job Overview

As our AI/ML Engineer, you will be responsible for designing and prototyping the core machine learning architectures that drive our solution. You will collaborate directly with the founder to brainstorm, evaluate, and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in cricket and badminton.

Given that this is a new domain, candidates with experience in adjacent areas (such as robotics, autonomous systems, sports analytics, surveillance, or IoT) are encouraged to apply. We value innovative problem solvers who can adapt their skills to meet our unique challenges.

Key Responsibilities

• Architecture & Design:
• Propose and evaluate multiple AI/ML architectures suitable for real-time officiating tasks (object detection, event detection, trajectory prediction, and sensor fusion).
• Collaborate with the founder to select and iterate on the optimal architecture for our use case.
• Algorithm Development:
• Develop computer vision algorithms to detect and track critical objects (e.g., sports balls, players, court lines).
• Design and implement reinforcement learning (RL) models for dynamic PTZ camera control (tracking, panning, and zooming) to ensure the best camera viewpoints.
• Build predictive models for real-time decision-making (e.g., anticipating ball trajectories for no-ball calls, scoring events).
• Sensor Fusion:
• Integrate data from video feeds with auxiliary sensors (audio, IR, radar, etc.) to improve the accuracy and reliability of event detection.
• Optimize models for low-latency performance on edge devices.
• Prototyping & Testing:
• Rapidly prototype and validate AI/ML modules using real or simulated data.
• Work closely with the full-stack developer to integrate AI components into the broader software system.
• Documentation & Research:
• Document architecture decisions, model designs, and implementation details.
• Stay updated on recent research and advancements in computer vision, machine learning, and reinforcement learning, and apply relevant innovations to enhance the product.
• Collaboration:
• Participate in brainstorming sessions and technical reviews with the product management and development teams.
• Provide insights on potential improvements and scalability for the system as we expand from a prototype to a full-scale commercial product.

Qualifications & Skill Sets

Educational Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science.

Technical Skills:

• Programming Languages: Proficiency in Python and familiarity with C++.
• Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks.
• Computer Vision: Hands-on experience with OpenCV, YOLO, or other object detection and tracking libraries; strong knowledge of convolutional neural networks (CNNs).
• Reinforcement Learning: Understanding of RL concepts and experience with frameworks such as Open AI Gym or similar; ability to prototype RL solutions for real-time control.
• Sensor Fusion: Familiarity with techniques to integrate and process multi-modal data (video, audio, IR, radar, etc.).
• Optimization for Real-Time Systems: Experience in tuning models and algorithms for low-latency, edge, or embedded deployment.
• Software Engineering: Ability to write clean, well-documented code and collaborate using version control systems (e.g., Git).

Domain-Relevant Experience:

• While direct experience in sports officiating is not required, experience in adjacent fields such as:
• Sports Analytics: Building models for performance analysis or event detection in sports.
• Robotics/Autonomous Systems: Developing vision and control algorithms for real-time decision-making.
• Surveillance/IoT: Implementing sensor fusion techniques and real-time video analytics.
• Project or research experience that demonstrates your ability to solve complex problems in real-time environments is highly desirable.

Soft Skills:

• Problem-Solving: Ability to work through challenging technical problems and innovate solutions.
• Collaboration: Excellent communication skills to articulate technical concepts to non-technical stakeholders and work effectively in a small, cross-functional team.
• Adaptability: Self-motivated and eager to learn new domains, with a proactive approach to overcoming technical challenges.
• Team Spirit: A willingness to contribute ideas, accept feedback, and continuously iterate on solutions.

Why Join Us?

• Innovative Domain: Be at the forefront of merging AI with sports officiating and analytics—a field ripe for innovation.
• Collaborative Environment: Work directly with the founder and a lean, agile team, where your ideas directly influence the product’s direction.
• Growth Opportunity: Gain experience in building a product from concept to market, with room to grow as the company scales.
• Competitive Compensation: We offer a competitive salary with potential equity participation in a rapidly evolving startup.

Our client is seeking a brilliant and innovative AI Research Scientist with a specialization in Computer Vision to join their cutting-edge research and development team. This role is central to advancing the state-of-the-art in visual intelligence, developing novel algorithms and models for image recognition, object detection, semantic segmentation, and video analysis. You will be responsible for designing, implementing, and evaluating deep learning models, conducting rigorous experiments, and translating research breakthroughs into practical applications. The ideal candidate possesses 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. You will work with large-scale datasets, leverage advanced computing resources, and collaborate closely with engineering teams to deploy AI models into production. This position requires exceptional analytical skills, a deep understanding of machine learning principles, and proficiency in programming languages such as Python, along with deep learning frameworks like TensorFlow and PyTorch. This role is based in **Chennai, Tamil Nadu, IN**, and involves close collaboration within a dedicated research facility. We are looking for a creative problem-solver with a passion for AI and a drive to contribute to the next generation of intelligent systems. Your ability to stay ahead of the curve in the rapidly evolving field of AI will be crucial. This is an exciting opportunity to work on challenging problems and make a significant impact in the field of artificial intelligence.

Responsibilities:

• Conduct cutting-edge research in Computer Vision and Deep Learning.
• Develop novel algorithms and models for image and video analysis tasks.
• Implement, train, and evaluate deep learning models using large datasets.
• Collaborate with engineering teams to integrate AI models into products and services.
• Stay current with the latest advancements in AI, machine learning, and computer vision.
• Publish research findings in leading scientific conferences and journals.
• Analyze experimental results and provide detailed reports.
• Mentor junior researchers and interns.
• Contribute to the development of AI strategy and roadmap.
• Ensure ethical considerations and bias mitigation in AI model development.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a focus on Computer Vision.
• Proven experience in developing and deploying deep learning models for computer vision tasks.
• Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
• Solid understanding of machine learning theory, algorithms, and statistical modeling.
• Excellent analytical, problem-solving, and research skills.
• Strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, NeurIPS).
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a research team.

Our client is at the forefront of AI innovation and is looking for a brilliant AI Research Scientist specializing in Computer Vision to join our cutting-edge R&D team. You will be instrumental in pushing the boundaries of what's possible, developing novel algorithms and models for image recognition, object detection, and scene understanding. This role requires a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and evaluating complex AI systems. You will work with large-scale datasets, state-of-the-art hardware, and collaborate with a team of world-class researchers and engineers. Responsibilities include:

• Designing and implementing advanced computer vision algorithms and deep learning models.
• Conducting cutting-edge research to solve challenging problems in image and video analysis.
• Experimenting with various AI frameworks and libraries (e.g., TensorFlow, PyTorch).
• Evaluating and optimizing model performance on diverse datasets.
• Publishing research findings in top-tier AI conferences and journals.
• Collaborating with product teams to integrate research breakthroughs into practical applications.
• Staying abreast of the latest advancements in AI, machine learning, and computer vision.
• Mentoring junior researchers and interns.
• Developing and maintaining research infrastructure and tools.
• Contributing to the intellectual property portfolio through patents and publications.

The successful candidate will possess a Ph.D. or Master's degree in Computer Science, AI, or a related field, with a strong publication record. Proven experience in computer vision, deep learning, and a solid grasp of mathematics (linear algebra, calculus, probability) are essential. Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus. Join us in shaping the future of artificial intelligence. This position is located in **Chennai, Tamil Nadu, IN**, and requires on-site presence.

Our client, a cutting-edge research and development firm at the forefront of artificial intelligence, is looking for a brilliant AI Research Scientist specializing in Computer Vision to join their esteemed team in Chennai, Tamil Nadu, IN . This role is perfect for an individual passionate about pushing the boundaries of what's possible in image and video analysis, object detection, semantic segmentation, and generative AI. You will be involved in designing and implementing novel algorithms, conducting rigorous experiments, and publishing research findings. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with practical experience in applying these techniques to real-world computer vision challenges.

Key Responsibilities:

• Conduct state-of-the-art research in computer vision and deep learning.
• Design, develop, and implement novel AI models and algorithms for image and video understanding.
• Focus areas include object detection, image classification, semantic/instance segmentation, facial recognition, pose estimation, and generative models (GANs, VAEs).
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate research prototypes into production systems.
• Analyze large-scale datasets, identify patterns, and extract meaningful insights.
• Perform rigorous experimentation, validation, and benchmarking of AI models.
• Stay up-to-date with the latest advancements in AI, machine learning, and computer vision research.
• Publish research findings in top-tier academic conferences and journals.
• Contribute to the intellectual property and patent portfolio of the company.
• Mentor junior researchers and interns.
• Develop efficient and scalable implementations of AI models for deployment.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 3+ years of post-graduate research experience or equivalent industry experience in computer vision.
• Proven track record of innovation and contributions to the field (publications, patents).
• Strong theoretical understanding of machine learning, deep learning, and computer vision principles.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, Keras.
• Proficiency in programming languages like Python, C++.
• Experience with computer vision libraries (e.g., OpenCV, scikit-image).
• Hands-on experience with large-scale datasets and distributed training.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads is a plus.

This is a unique opportunity to work on groundbreaking AI research and make a significant impact in the field, based in the vibrant tech hub of Chennai, Tamil Nadu, IN . Competitive salary and benefits are offered.

Our client, a cutting-edge technology firm at the forefront of artificial intelligence and emerging technologies, is seeking a highly skilled Senior AI/ML Engineer specializing in Computer Vision to join their innovative team in Chennai, Tamil Nadu, IN . This role is instrumental in designing, developing, and deploying advanced machine learning models for computer vision applications. You will be responsible for the entire ML pipeline, from data acquisition and preprocessing to model training, evaluation, and deployment. Key responsibilities include developing robust algorithms for image classification, object detection, segmentation, and other vision-based tasks. You will leverage deep learning frameworks such as TensorFlow, PyTorch, and Keras to build and optimize neural networks. This position requires a strong understanding of computer vision principles, image processing techniques, and statistical modeling. You will collaborate closely with software engineers and data scientists to integrate AI/ML solutions into production systems. The ideal candidate will possess excellent programming skills in Python, proficiency with ML libraries, and experience with cloud platforms (AWS, Azure, GCP) for model training and deployment. Strong analytical and problem-solving abilities, coupled with a passion for innovation and cutting-edge AI research, are essential. You will contribute to research initiatives, publish findings, and stay abreast of the latest advancements in the field. This hybrid role offers a dynamic work environment with opportunities for both in-office collaboration and remote flexibility. You will also have the opportunity to mentor junior engineers and contribute to the company's intellectual property.

Responsibilities:

• Design, develop, and implement advanced machine learning models for computer vision tasks.
• Process, clean, and analyze large datasets for model training.
• Build, train, and evaluate deep learning models using frameworks like TensorFlow and PyTorch.
• Develop algorithms for image classification, object detection, segmentation, and more.
• Deploy ML models into production environments.
• Collaborate with cross-functional teams to integrate AI solutions.
• Optimize model performance, accuracy, and efficiency.
• Conduct research on new AI/ML techniques and algorithms.
• Stay current with advancements in computer vision and deep learning.
• Troubleshoot and resolve issues related to ML models and pipelines.
• Document research, methodologies, and model performance.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 5 years of experience in AI/ML engineering, with a specialization in Computer Vision.
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of deep learning architectures and computer vision principles.
• Experience with image processing techniques and tools.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML workloads.
• Experience with MLOps practices and tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.
• Proven ability to work independently and as part of a team.

Our client is actively seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Computer Vision to join our cutting-edge research and development team. This role is entirely remote, allowing you to contribute your expertise from any location. You will be at the forefront of developing advanced computer vision models and solutions that solve complex real-world problems. This includes designing, implementing, training, and deploying state-of-the-art deep learning models for tasks such as object detection, image segmentation, facial recognition, and video analysis.

Key Responsibilities:

• Design, develop, and implement advanced deep learning models for computer vision tasks.
• Build robust pipelines for data preprocessing, augmentation, and model training.
• Train, validate, and fine-tune AI/ML models to achieve state-of-the-art performance.
• Develop and deploy computer vision solutions for various applications, including autonomous systems, medical imaging, security, and augmented reality.
• Collaborate with cross-functional teams (software engineers, product managers, domain experts) to define project requirements and deliver impactful solutions.
• Stay abreast of the latest research and advancements in AI, deep learning, and computer vision.
• Conduct rigorous experimentation, benchmarking, and performance analysis of models.
• Optimize models for deployment on various hardware platforms and edge devices.
• Write high-quality, well-documented, and maintainable code in Python.
• Utilize frameworks such as TensorFlow, PyTorch, and Keras effectively.
• Contribute to the intellectual property of the company through research and innovation.
• Mentor junior engineers and contribute to a collaborative and knowledge-sharing environment.
• Participate in code reviews and provide constructive feedback.
• Evaluate and integrate third-party AI/ML libraries and tools.
• Translate complex research concepts into practical, deployable solutions.

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 AI/ML models, with a strong specialization in Computer Vision.
• Proven track record of successfully delivering computer vision projects from conception to production.
• Expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras.
• Strong proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy, Pandas).
• Solid understanding of computer vision algorithms, image processing techniques, and deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Experience with data augmentation, transfer learning, and model optimization techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to articulate technical concepts clearly.
• Published research in top-tier AI/ML conferences or journals is highly desirable.

This is a fully remote position, empowering you to work from anywhere while being an integral part of our innovative team. If you're passionate about pushing the boundaries of AI and computer vision, we encourage you to apply.

Our client is seeking an accomplished Senior Machine Learning Scientist with a specialization in Computer Vision to join their leading-edge R&D team in Chennai, Tamil Nadu, IN . This is a crucial role where you will be instrumental in designing, developing, and deploying sophisticated computer vision models and algorithms that power innovative products and solutions. The ideal candidate will possess a strong academic background and a proven track record in applying advanced machine learning techniques to real-world computer vision challenges. You will work with large-scale datasets, cutting-edge deep learning frameworks, and contribute significantly to the entire ML lifecycle, from conceptualization and prototyping to production deployment and monitoring. Collaboration with cross-functional teams, including software engineers and product managers, will be key to translating complex technical concepts into tangible business value.

Key Responsibilities:

• Lead the research, design, and development of state-of-the-art computer vision models (e.g., object detection, image segmentation, facial recognition, image generation).
• Implement and optimize deep learning algorithms using frameworks such as TensorFlow, PyTorch, or Keras.
• Process and analyze large-scale image and video datasets, ensuring data quality and integrity.
• Develop and maintain robust ML pipelines for training, validation, and deployment of computer vision solutions.
• Evaluate model performance using appropriate metrics and conduct rigorous experimentation.
• Collaborate closely with software engineers to integrate ML models into production systems.
• Stay abreast of the latest advancements and research trends in computer vision and deep learning.
• Publish research findings in top-tier conferences and journals where appropriate.
• Mentor junior scientists and engineers, fostering a culture of innovation and technical excellence.
• Contribute to defining the technical roadmap for computer vision initiatives.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Electrical Engineering, AI, Machine Learning, or a related field with a strong focus on Computer Vision.
• 5+ years of hands-on experience in developing and deploying computer vision models.
• Proven expertise in deep learning techniques and frameworks (TensorFlow, PyTorch).
• Strong understanding of core computer vision algorithms and libraries (e.g., OpenCV).
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with large-scale data processing and distributed computing is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong publication record in relevant conferences/journals is highly desirable.
• Effective communication and collaboration skills, with the ability to articulate complex technical concepts.
• Experience with MLOps and cloud platforms (AWS, Azure, GCP) is beneficial.

This is a prime opportunity to drive innovation in computer vision for our client in Chennai, Tamil Nadu, IN .

Our client, a leading innovator in artificial intelligence solutions, is seeking a Principal Machine Learning Engineer to drive advancements in their computer vision domain. This pivotal role involves spearheading the design, development, and deployment of sophisticated machine learning models and systems that power cutting-edge visual recognition and analysis technologies. As a fully remote position, you will collaborate with a global team of researchers and engineers, contributing to impactful projects that define the future of AI-driven perception. Responsibilities include architecting robust ML pipelines, developing state-of-the-art algorithms for image and video understanding, conducting rigorous model evaluation and optimization, and translating research breakthroughs into production-ready solutions. You will also mentor junior engineers, guide technical strategy, and stay abreast of the latest developments in ML and computer vision. The ideal candidate possesses a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a deep specialization in machine learning and computer vision. Extensive experience (8+ years) in developing and deploying ML models in a professional setting is required, with a strong emphasis on computer vision applications like object detection, segmentation, and tracking. Expertise in Python, along with ML frameworks such as TensorFlow, PyTorch, and Keras, is essential. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable. Exceptional problem-solving abilities, strong communication skills, and a passion for innovation are paramount. Join our forward-thinking organization and help build the next generation of intelligent visual systems.