53 Deep Learning jobs in Chennai

Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform

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.

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.

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

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

Senior HR Analyst

106-109, Anna Salai, Guindy, Chennai –

M:

exelatech.com • About EXELA • Instagram • LinkedIn

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

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

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.

Job Description

We are seeking a highly skilled and passionate Senior Agentic AI Engineer to join our innovative team. In this role, you will take ownership of the full lifecycle of our cutting-edge agentic AI solutions, from architectural design and independent implementation to successful deployment and ongoing optimization in a production environment. You will be empowered to drive key technical decisions and will play a crucial role in shaping the evolution of our AI platform.

Responsibilities:

• Design, develop, and implement agentic AI applications using Python and relevant frameworks.
• Architect and build robust and scalable backend systems.
• Integrate and manage interactions with various Large Language Models (LLMs) through APIs and other interfaces.
• Utilize and optimize vector databases for efficient information retrieval and knowledge management within AI agents.
• Develop and implement sophisticated agentic workflows using frameworks like Autogen , AG2 , Lang graph , Agno , or CrewAI .
• Collaborate effectively with cross-functional teams, including product managers, researchers, and other engineers.
• Write clean, well-documented, and testable code following best practices.
• Stay up-to-date with the latest advancements in AI, LLMs, and agentic technologies.
• Contribute to the technical direction and architecture of our agentic AI platform.
• Deploy solutions on one or more cloud platforms (AWS, Azure, GCP) .
• Participate in code reviews and knowledge sharing within the team.

Required Skills:

• 7+ years of progressive experience in software development, with a strong track record of independently delivering production-grade backend systems.
• Proven expertise in Python.
• Hands-on experience with Langchain .
• Demonstrated experience with one or more agentic frameworks such as Autogen, AG2, Langgraph, Agno, or CrewAI.
• Experience working with Vector Databases (e.g., Chroma, Pinecone, Weaviate).
• Deep understanding of Large Language Models (LLMs) and their application in building intelligent systems.
• Proficient with Git for version control.
• Comfortable working in a Linux environment.
• Experience deploying and managing applications on one or more cloud platforms (AWS, Azure, GCP).
• Proven experience designing, implementing, and maintaining robust CI/CD pipelines for production deployments.
• Solid understanding and practical experience with both SQL and NoSQL databases.
• Strong leadership and management skills.
• Problem-solving and decision-making skills.
• Planning & Execution.
• Excellent Communication & Inter-personal skills.
• Proficient in MS Office suite.

Preferred Skills:

• Experience with BigQuery.
• Proficiency in one or more additional programming languages such as JavaScript, Java, or C#.
• Experience developing multi-agent systems.
• Experience with serverless architecture and/or containerization technologies (e.g., AWS Lambda, Azure
• Functions, GCP Cloud Functions, Docker, Kubernetes).
• Experience with local LLM execution and management.
• Experience with prompt engineering and fine-tuning LLMs.
• Contributions to open-source AI or agentic projects.
• Strong understanding of security best practices in AI applications.
• Familiarity with MLOps principles.
• Experience with relevant testing frameworks.
• Understanding of AI Ethics and Responsible AI principles.
• Familiarity with other AI/ML technologies such as computer vision, neural networks, and time-series analysis.

What We Offer

• Competitive salary and performance-based bonuses.
• Health and wellness benefits.
• Opportunity to work in a dynamic and fast-growing environment with a focus on innovation and excellence.

Location : Chennai / Pune

Interested candidates can share your resume at