Top Machine Learning Jobs in Chennai

The role involves designing and implementing machine learning systems, mentoring engineers, leading technical strategies, and ensuring system reliability and scalability.

Manage and grow a team responsible for observability, monitoring, and integrations across monetization systems. Improve reliability and data quality for billing, provisioning, subscriptions, and revenue-impacting workflows; define telemetry and integration strategies; implement anomaly detection and incident management; and partner with cross-functional stakeholders to ensure reliable customer and financial workflows.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

The Senior Data Analyst will leverage data to inform strategic decisions, analyze complex datasets, develop predictive models, and communicate insights to stakeholders.

Design and guide application architecture on Google Cloud Platform. Assess impacts, produce estimates, facilitate workshops, make technical decisions, mentor team members, and ensure scalable, resilient cloud solutions.

Lead product strategy and roadmap for AI-driven onboarding experiences. Translate customer needs into product requirements, partner with engineering/design/data science, run discovery through launch, and use data and A/B experiments to iterate and optimize user-centric workflows.

Participate in design, development, testing, and implementation of application systems. Analyze complex problems, estimate feasibility/costs, recommend solutions, ensure security and compliance, support users, coach junior analysts, and contribute to project delivery within Technology/Applications Development.

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

Design, develop, prototype and deploy complex ML/DL and image-processing algorithms for semiconductor inspection systems. Build and train models using frameworks like TensorFlow or PyTorch, write model architectures from scratch, modify loss functions, and collaborate across teams to integrate ML solutions into products.

Lead data governance for manufacturing and supply networks: define standards, data/integration specifications, roadmaps, and release stewardship. Ensure compliance, data quality, and responsible AI adoption; drive prototyping, metrics, and continuous improvement across analytics, automation, and ML lifecycles.

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

Lead design, development, and delivery of complex cloud-native systems. Drive end-to-end technical execution, set engineering standards and architecture, mentor engineers, collaborate with product/UX/architecture, troubleshoot production issues, and champion performance and system improvements.

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

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.

Lead technical product strategy and delivery for data, analytics, and AI products in supply chain. Define solution architectures, govern engineering delivery, lead cross-functional teams (data engineering, knowledge graph, applications, analytics), and drive adoption of GenAI and enterprise knowledge graph solutions to improve supply chain transparency, reliability, and speed. Manage stakeholders, vendors, roadmaps, governance, and continuous improvement to deliver measurable business outcomes.

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

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.

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.

Develop advanced machine learning, predictive and optimization models, transform large datasets into actionable insights, design experiments, and produce visualisations and dashboards to influence commercial decisions and drive customer growth and retention.

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

Design and deploy production-grade Generative AI and agentic AI solutions to automate business workflows. Collaborate with client and EXL teams, analyze structured and unstructured data, follow industry best practices, lead client sessions, diagnose process inefficiencies, and deliver scalable models and AI orchestration for claims, underwriting, customer service, and decision automation.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

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

The role involves analyzing biological mass spectrometry data, developing software tools, and scaling workflows for AI and human consumption in drug safety assessment.