Top Machine Learning Jobs in Chennai

Lead a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

Lead complex engineering initiatives in Credit Risk Technology, overseeing software development and driving innovation using AI and Machine Learning.

Design, develop, and deploy conversational chatbots and voice bots using Dialogflow CX and Google CCAI. Build backend integrations with Python, APIs, and relational databases; apply NLP, NLU, LLMs, TTS/STT and SSML; develop custom components; troubleshoot distributed systems; collaborate with cross-functional teams; and stay current with conversational AI best practices.

The Sr AI Solutions Engineer will update stakeholders on solutions, productize Centific AI offerings, implement NVIDIA models, and develop AI-enabled applications.

Lead the architecture and engineering of AI and ML platforms, driving innovation and best practices for scalable systems, model management, and cloud infrastructure.

Lead a global team of Content Analysts and Knowledge Engineers focusing on human evaluation, content management, data analysis, ML workflows, and operational excellence for Yahoo Mail products.

The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

Lead design and delivery of end-to-end AI/ML and Generative AI solutions, architect scalable cloud-based platforms, integrate LLM/RAG/agentic systems, implement MLOps and governance, and mentor teams while driving AI strategy with stakeholders.

Design and deploy predictive models and recommendation engines for B2B distributor transaction data; clean and transform ERP-sourced datasets; produce dashboards and account-level insights to drive sales strategy; present findings to business leaders and enable scalable analytics solutions for commercial growth.

Lead Flutter platform architecture to power thousands of dynamically rendered mobile apps. Design modular widget libraries, state management, native integrations, performance optimizations, CI/CD and testing frameworks. Build real-time social commerce, personalization, offline-first sync, analytics, and developer tools while mentoring teams and driving Flutter ecosystem adoption.

Design and develop data solutions using Power BI and Snowflake. Perform data mining, feature engineering, time-series and IoT analytics, build predictive models and automated anomaly detection, maintain data pipelines and quality, and collaborate in an agile team to deliver analytics integrated into product systems.

Design, build, and deploy forecasting and predictive ML models for sales, inventory, transportation, and transit time. Collaborate cross-functionally to productionize solutions, optimize operations and costs, monitor models, and communicate insights to senior stakeholders to drive strategic decisions.

The AI Solutions Engineer role involves deploying AI tools, optimizing AI agents, improving workflows with AI, integrating systems, and training users on AI solutions.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

The role focuses on evaluating Generative AI solutions, ensuring quality standards, mentoring team members, and improving data models in an academic research setting.

The Senior Engineer I - Design will handle RTL design and verification for SoC architecture, ensuring quality designs from concept to tape-out, and leveraging AI tools for productivity and debugging.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Build and productionize LLM-powered agents, workflows, and RAG systems. Apply prompt engineering, embeddings, fine-tuning, and traditional ML to automate tasks and improve products. Mentor teammates and help design scalable, production-grade AI infrastructure while staying current on LLM advances.

The Business Systems Analyst will collaborate with IT and business teams to enhance supply chain systems using Oracle Fusion Cloud technologies, delivering innovative solutions for various modules.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Research and develop domain-specific LLMs and generative models for materials science: pretraining, fine-tuning, alignment (e.g., RLHF), evaluation, dataset curation, and benchmark creation. Collaborate with scientists and engineers to apply generative AI to discovery and hardware design, publish research, and mentor junior team members.

Develop and deploy data-driven algorithms for metrology tools using machine learning, deep learning, and statistical methods. Analyze large datasets, improve signal and model performance, drive rapid solutioning, collaborate with engineering and software teams, and own model development through deployment and continuous improvement.

Lead research and development in AI/ML, design scalable pipelines, implement models, and collaborate with cross-functional teams for optimal solutions.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

The Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.