Explore computer vision job opportunities in 62 Computer Vision jobs in Chennai
Computer Vision Engineer
Posted 7 days ago
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About Eternal Robotics – Hypervise
Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical.
Role Overview
We are looking for a AI Engineer - Computer Vision with 3–6 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments.
You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance.
Key Responsibilities
1. Model Development & Testing
- Build and optimize deep learning models for object detection, segmentation, and classification.
- Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models.
- Validate model accuracy against customer specifications and datasets.
2. CV Pipeline Implementation
- Develop modular and maintainable computer vision pipelines using Python.
- Integrate pre-processing, inference, and post-processing components for edge and server-side deployments.
3. Hardware & Deployment Support
- Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment.
- Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting.
4. Testing & Quality Assurance
- Write and execute test cases to ensure system functionality and robustness in diverse environments.
- Collaborate with QA and support teams to resolve performance issues.
5. Documentation & Collaboration
- Document architecture, model performance, and system configurations.
- Participate in code reviews and peer programming sessions.
- Coordinate with team leads and project managers to align with delivery timelines.
Qualifications & Experience
- Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus.
- Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments.
Key Technical Skills
- Proficiency in Python and OpenCV.
- Experience with deep learning libraries: PyTorch, TensorFlow, Keras.
- Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation.
- Working knowledge of Linux environments, Git, and basic shell scripting.
- Experience with Jetson Nano/Xavier, DeepStream SDK is preferred.
- Understanding of camera configuration, lighting setups, and imaging constraints.
- Experience deploying models on edge or embedded devices is a strong advantage.
Soft Skills
- Strong debugging and problem-solving skills.
- Team player with a willingness to learn and adapt.
- Effective communicator capable of interfacing with both engineering and customer teams.
- Disciplined in documentation and reporting.
Why Join Hypervise?
- Build solutions that are deployed across real industrial environments.
- Work alongside passionate technologists in a startup culture.
- Access to advanced tools, data, and edge-AI hardware.
- Be part of a company leading the industrial AI revolution.
Senior Software Engineer II (Computer Vision)
Posted 1 day ago
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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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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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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.
AI-Senior Computer vision-Engineer-Chennai
Posted 16 days ago
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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.
Artificial Intelligence Engineer
Posted 2 days ago
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Position Summary:
Knorr-Bremse, the world leader in braking systems and safety-critical mobility solutions, is building an AI Center of Excellence to accelerate innovation across truck and rail businesses.
We are seeking a skilled ML/GenAI Engineer to be the operational backbone of our AI team. Your mission is to take the innovative models and prototypes developed by our scientists and transform them into production-grade, scalable, and highly efficient services.
This is a hands-on engineering role focused on the post-modeling lifecycle: optimization, deployment, and MLOps. You will be the expert on making our cutting-edge Generative AI systems (including LLMs and RAG pipelines) run fast, consume minimal resources, and operate reliably at scale. You will bridge the critical gap between experimental AI and robust, enterprise-ready applications.
If you are passionate about the engineering challenges of making large models performant and cost-effective in real-world environments, this role is for you.
Essential Functions:
- Model Optimization and Inference Acceleration: Analyze and optimize inference scripts for low latency and high throughput. Implement advanced techniques to reduce model memory consumption and computational cost, such as quantization (e.g., bitsandbytes, GPTQ), pruning, and knowledge distillation. Leverage specialized serving runtimes and compilers (e.g., vLLM, TensorRT-LLM, Triton Inference Server) to maximize hardware utilization.
- Deployment and Infrastructure Management: Containerize AI applications and their dependencies using Docker for reproducible deployments. Deploy models as scalable and resilient microservices on cloud platforms (AWS, GCP and/or Azure) using services like Kubernetes (GKE/AKS), Cloud Run, or Vertex AI Endpoints. Build and manage the cloud infrastructure required to support our AI services, using Infrastructure as Code (IaC) principles where applicable (e.g., Terraform).
- MLOps and Automation: Design and implement robust CI/CD pipelines for automated model testing, building, and deployment. Develop comprehensive monitoring and logging solutions to track model performance, resource usage, and system health in production. Implement alerting mechanisms to proactively identify and address issues like model drift, performance degradation, or infrastructure failures.
- API and Service Development: Develop clean, well-documented, and efficient APIs (e.g., REST, gRPC) using frameworks like FastAPI or Flask to serve model predictions to downstream applications. Ensure the security, authentication, and scalability of the AI service endpoints.
- Cross-Functional Collaboration: Work closely with AI scientists, product managers, software engineers, and UX designers to align AI solutions with business needs.: Work closely with the AI Scientist to understand model architecture and dependencies, providing feedback to improve its "deployability." Partner with the lead Generative AI Scientist to ensure that the production environment can meet the performance and cost requirements of their proposed solutions.
- Ensuring Responsible & Secure AI: Implement AI solutions in line with ethical and security guidelines . The AI Engineer is expected to incorporate principles of Responsible AI – ensuring models are fair, transparent, and privacy-compliant. They must guard against risks (bias, data leakage, prompt injection attacks on agents, etc.) and follow security best practices for AI deployments. For instance, when deploying an agentic AI system that can take actions, the engineer will put guardrails in place to prevent unintended behaviors and to log decisions for auditability.
- Continuous Learning & Improvement: Stay up-to-date with the latest AI research and emerging tools, and continuously improve AI models in production. AI Engineers track new developments (new model architectures, improved frameworks like LangChain updates, etc.) and assess how these can enhance existing systems. They also gather user feedback and model performance data to iteratively refine the solutions (e.g. fine-tuning an LLM for better accuracy or reducing latency by optimizing code).
Skills:
- Strong Programming & Scripting: Expert-level Python; proficiency in shell scripting (Bash).
- Cloud Expertise: Deep, hands-on experience with either GCP (GKE, Cloud Run, Vertex AI, Cloud Build) or Azure (AKS, Azure ML, Azure Functions, Azure DevOps) it AWS (EKS/ECS/SageMaker/Lambda/AWS Developer Tools). Experience in more than one is a major advantage.
- MLOps & DevOps Tooling : Containerization & Orchestration : Docker (Expert), Kubernetes (Strongly Required). CI/CD: Experience building pipelines with tools like GitHub Actions, Jenkins, Azure DevOps, or CircleCI. Infrastructure as Code Familiarity with Terraform or similar tools is highly desirable. Monitoring: Experience with tools like Prometheus, Grafana, or cloud-native monitoring services (e.g., Google Cloud Monitoring, Azure Monitor).
- Model Serving & Optimization: Practical experience with modern model serving frameworks (e.g., Triton, TorchServe, KServe, vLLM). Knowledge of model optimization techniques (quantization, pruning) is a significant plus. API Development : Proficiency in building APIs with frameworks like FastAPI, Flask, or similar.
Behavioral Competencies:
- Systems Thinker: Ability to see the entire system and understand how different components interact, from the model code to the underlying infrastructure.
- Automation-First Mindset: A strong drive to automate repetitive tasks and build resilient, self-healing systems.
- Performance and Efficiency Driven : A relentless focus on optimizing performance, latency, and cost.
- Reliability and Ownership: A deep sense of responsibility for the stability and performance of systems in production.
Experience & Education:
- Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or a related technical field.
- Minimum 3-5+ years of hands-on experience in a DevOps, MLOps, or Software Engineering role with a focus on deploying and managing machine learning systems in production.
Position Requirements:
- Ability to travel up to 10% domestically and internationally.
What We Offer
- Solve the most challenging engineering problems at the intersection of AI and cloud infrastructure.
- Be the expert who makes cutting-edge AI research a practical reality at enterprise scale.
- Work in a collaborative, high-impact team where your engineering skills are essential to the success of our AI strategy.
- Gain deep expertise in the rapidly growing field of MLOps for Generative AI.
Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
Your Responsibilities
- Research, develop, benchmark, test and document state of the art algorithms for autonomous driving.
- Research new vision and other sensor technology, ideas, and approaches.
- Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
- Contribute to design reviews across algorithm teams.
- Consider next generation algorithms and new business opportunities.
- Develop algorithms with a view to implementing on embedded platforms.
- Represent Valeo anSWer at various Industry Working Groups and at Conferences.
- Support the design and implementation of in-company training sessions in your area of expertise.
- Strive to improve competencies in the field of automotive sensors based ADAS, DL frameworks & techniques.
- Identify inefficiencies and suggest/implement improvements within the current processes used in algorithm development
Minimum Qualifications
- Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field
- 2-6 years relevant experience in AI / DL development
- Strong knowledge of deep learning concepts and computer vision
- Experience with object detection models such as YOLO and semantic segmentation
- Expertise in python programming and strong software engineering practices
- Proficiency with version control tools such as git, bash scripting, and automation
- Excellent analysis & trouble-shooting skills using a structured documented approach
- Excellent communication skills, both written and verbal
- Confident, collaborative, self-motivated, determined & energetic
Highly Desirable Qualifications
- Specialization in one or more of these areas preferred: Transformers, Multi-task learning, Optimization, and Multi-modal models.
- Experience designing complex systems with multiple algorithms or modules
- Academic publications in top-tier conferences such as CVPR, NeurIPS, ICCV, and ECCV.
- Experience with commercially deploying algorithms in robotics, LIDAR, camera systems, or sensor fusion.
- Experience developing algorithms for autonomous and/or real-time systems.
- Deep knowledge of camera systems.
- Automotive industry experience.
Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
Position: Permanent
Role: AI Backend Developer
Experience: 4-6Years
Location: Chennai/Bangalore
Work Mode: WFO
Shift Timing: US Overlapping
About the Role
We are seeking a skilled and motivated AI Backend Developer with a strong background in software engineering to design, develop, and deploy intelligent systems. The role involves integrating AI into scalable applications, building models, and collaborating with cross-functional teams to deliver impactful, AI-driven features.
Key Responsibilities
• Design, develop, and implement AI/ML algorithms and integrate them into software applications.
• Build robust and scalable APIs and services that support AI functionality.
• Collaborate with data scientists, backend/frontend engineers, and product managers to define requirements and deliver AI-driven features.
• Train, test, and evaluate machine learning models using relevant datasets.
• Optimize models and code for performance, scalability, and accuracy.
• Deploy and monitor AI solutions in production environments.
• Stay up to date with the latest trends and advancements in AI/ML and software engineering.
• Write clean, maintainable, and well-documented code.
• Conduct code reviews and contribute to the full SDLC.
Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 2+ years of experience in software development, with at least 1 year in AI/ML-focused roles.
• Proficient in programming languages such as Python, Java, or C++.
• Strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and deploying AI models to production.
• Solid understanding of algorithms, data structures, and software design patterns.
• Familiarity with REST APIs, microservices architecture, and containerization (Docker, Kubernetes).
• Experience working with data pipelines, databases (SQL/NoSQL), and data preprocessing.
Regards,
Shivani
Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
Skills Candidate should Possess:
Analytical skills
Any programming languages(He should be able to approach and solve logical problems).
Preferably should have knowledge on AI, GEN AI, Agentic AI skillset. which he should bring new techniques to include these methods to analyze and solve a problem
Posses Good Attitude
Preferred Skills:
1. Bsc graduate - Only Freshers
2. Good attitude
3. Commitment to stay with us for long term
4. Passion on AI
5. Flexible to work with other technologies
6. Work from office mode
Regards
Shyam J
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106-109, Anna Salai, Guindy, Chennai –
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Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
We are looking for a skilled and motivated AI/ML/Agentic AI Developer to join our Software Product Team. The ideal candidate will be responsible for designing and implementing AI-driven solutions across various business use cases, with a focus on automation and intelligent decision-making using modern AI frameworks and models.
Responsibilities
- Analyze business processes and understand functional requirements for AI automation.
- Design, develop, and integrate AI and Agentic AI solutions with minimal external dependency.
- Build and fine-tune ML models for information extraction and related tasks.
- Collaborate with cross-functional teams to deploy solutions into production environments.
- Stay updated on emerging AI/ML frameworks and apply them effectively in real-world scenarios.
Qualifications
- Bachelor's or Master’s degree in Computer Science with a specialization in AI (e.g., BE CS (AI), MCA AI, MSc AI).
Preferred Skills & Experience
- Minimum 2+ years of AI/ML/Agentic AI experience
- Programming experience with Python , .NET , and React .
- Strong problem-solving skills and ability to work independently.
Tools & Technologies
- AI/ML Platforms: Hugging Face , TensorFlow , OpenAI
- Agentic AI Frameworks: LangGraph , LangChain, autogen
Location: Chennai
Interested candidates can share your resume at
Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
Position: Permanent
Role: AI Developer
Experience: 5 Years
Location: Chennai / Bangalore / Pune
Shift Timing: General Shift
About the Role
We are seeking an experienced AI Engineer with proven expertise in developing AI Agents and implementing Agentic AI capabilities. The ideal candidate will also have deep knowledge in designing and managing Knowledge Graphs (KG) using GraphDB, enabling intelligent reasoning, contextual awareness, and semantic data enrichment in enterprise-grade AI systems.
Responsibilities
- Design and develop autonomous AI agents using agentic design patterns (e.g., reflection, reasoning, tool-use, collaboration).
- Implement multi-agent systems capable of task delegation, planning, and decision-making.
- Build and maintain Knowledge Graphs using GraphDB to support semantic search, contextual reasoning, and data enrichment.
- Integrate AI agents with external tools, APIs, and databases to enable dynamic workflows.
- Collaborate with data scientists, domain SMEs, and architects to define ontology models, entity relationships, and graph schemas.
- Optimize agent performance through feedback loops, RLHF, and context-aware protocols (e.g., MCP).
- Ensure scalability, security, and compliance of AI systems across cloud and hybrid environments.
- Document technical designs, workflows, and best practices for stakeholders.
Qualifications
- Bachelor’s degree in computer science, Information Technology, or a related field.
Required Skills
- 5+ years of experience in AI/ML engineering, with at least 2 years in agentic AI development.
- Strong proficiency in Python, LangChain, LLM orchestration frameworks, NoSQL, and GraphDB.
- Hands-on experience with knowledge graph modeling, SPARQL, and semantic reasoning.
- Familiarity with MCP protocols, tool-augmented agents, and retrieval-augmented generation (RAG).
- Understanding of LLM fine-tuning, prompt engineering, and multi-turn dialogue systems.
Preferred Skills
- Experience with cloud platforms and deployment of AI solutions.
- Knowledge of ethical AI practices and frameworks.
Regards,
Shivani
Head of Artificial Intelligence
Posted 2 days ago
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Job Description
Location: Chennai (Work From Office)
Role Overview
We are looking for a visionary Head of Artificial Intelligence to lead our AI/ML strategy and revolutionize our matchmaking platforms. In this pivotal role, you will drive innovation across personalized recommendations, fraud prevention, and customer engagement, using data science to redefine how people find love. If you are passionate about leveraging cutting-edge technologies to create meaningful impact and thrive in a fast-paced environment, this is the perfect opportunity for you.
Responsibilities:
- AI/ML Strategy Leadership :
- Define and execute the AI/ML roadmap that powers personalized matchmaking, fraud detection, and real-time decision-making models to enhance user experiences.
- Champion the integration of AI and LLM's to drive developer productivity, automated testing, and code quality.
- Leverage recommendation engines to personalize matchmaking, content discovery, and enhance overall CX/RX.
- Deploy LLM-based solutions to elevate customer support, retention journeys, and contextual engagement.
- Advanced Analytics for Business Growth : Lead the analytics initiatives that drive revenue growth, optimize conversion rates, and improve engagement by turning data into actionable insights.
- Team Leadership & Innovation : Build, inspire, and lead a world-class data science team, fostering a culture of continuous learning and collaboration. Ensure timely execution of high-impact AI/ML projects.
- Cross-functional Collaboration : Partner closely with Product, Engineering, Marketing, and Leadership teams to align AI/ML innovations with business objectives, enhancing both product development and user satisfaction.
- Drive Operational Excellence : Implement best practices in data science, ensuring operational efficiency and scaling AI solutions that directly impact the business KPIs.
- Strategic Partnerships : Establish and maintain partnerships with top academic institutions and tech companies to stay at the forefront of AI/ML innovations
Skills & Competencies:
- AI/ML/LLM Experience: Langchain, GPT APIs, Retrieval-Augmented Generation (RAG), Recommendation Systems, AutoML
- Data & Intelligence: Real-time analytics, data pipelines, customer journey insights, churn prediction models
- Experience in Python, R, or any other programming language for data science
- Strong strategic, creative, and analytical skills to develop and scale plans, strategies, and tactics for a business model.
- Develop and mentor a high performing AI/ML team
- Strategic Orientation
- Cross Functional Collaboration
- Business and Financial Acumen
- Analytical thinking & Problem Solving
Education & Experience
- Minimum 18+ years in technology leadership, including 5+ years in AI Product Development (AI/ML/LLM implementation in B2C/B2B applications)
- B.E./B.Tech or M. Tech in Computer Science or related field from Tier 1 or Premium Engineering Institutions; MBA or executive education preferred
About Us
Matrimony.com Ltd, a Great Place to Work Certified Wed-Tech company listed on the BSE and NSE, is a leader in matchmaking and wedding services. Its flagship brand, Bharat Matrimony, is the largest and most trusted matrimony brand (Brand Trust Report 2014) spanning customers across the entire economic strata. The company serves over 7 million members with the support of 2,900+ associates and a network of 120+ company-owned retail outlets.
Key Offerings
- Matchmaking Services:
- BharatMatrimony and 200+ matrimony brands segmented on religion, languages, communities, and occupation.
- Jodii: An exclusive matchmaking app for non-degree holders in 9 Indian languages
- Assisted Service and EliteMatrimony : Personalised services for the HNI, NRI and Premium segment of customers
- Wedding Services:
- Wedding Bazaar: Largest wedding services provider.
- Mandap.com: Largest online wedding venues platform.
- MakeMyWedding: Personalized & curated wedding planning services.
New Initiatives & Verticals
- Astro Free Chat: It is an exclusive app for any astrology consultation
- ManyJobs: Employment platform targeting grey collar workforce. In
vernacular language for the Tamil Nadu market (initial phase) and with some of industry first features for both companies and candidates
- Luv.com : A next generation serious relationship app.
International Presence
Matrimony.com has successfully expanded into international markets, with UAE operations thriving for 4+ years and Bangladesh operations commencing in 2021. With a mission to dominate the $55 billion wedding services industry.