Top Machine Learning Jobs in Chennai

Develop and optimize machine learning models, preprocess large datasets, deploy ML solutions, collaborate with teams, and evaluate model performance.

Oversee machine learning projects, mentor teams, optimize models, ensure data quality, and deploy scalable ML solutions to enhance services.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

Develop product features for ML, design pipelines, implement capabilities, conduct A/B testing, and collaborate across teams to enhance AI-driven experiences.

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, monitor performance, and improve processes for life sciences applications.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

Design and implement machine learning models and algorithms, collaborate with data scientists and software engineers, and deploy models into production environments.

As a Machine Learning Engineer, you'll productionize ML models, design APIs, optimize performance, and collaborate with teams to integrate AI capabilities into enterprise systems.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

The Claude.AI Developer designs and implements AI applications using Claude.AI, collaborates with teams to integrate AI solutions, and optimizes performance.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

Poshmark seeks a Senior Staff Engineer in Machine Learning II to drive innovation and impact while fostering a thriving, diverse workplace.

As a ML Engineer Intern, you will build functionalities for products and integrate third-party systems, gaining hands-on experience in ML applications.

Design, develop and implement machine learning models to solve complex issues, collaborate with teams on ML solutions, and ensure model deployment and performance monitoring.

Lead the design and deployment of advanced AI/ML solutions, mentor teams, optimize model performance, and integrate new frameworks.

The Senior Insights Analyst will support the Client Services team by analyzing data and providing insights to influence business decisions, collaborating with cross-functional teams and stakeholders, and presenting data-driven recommendations.

The AI/ML Developer will design, deploy and maintain machine learning models, implement AI solutions, and work with big data technologies to optimize data management and visualization, supporting a large global client.

The AI/ML Architect will develop, deploy, and maintain AI and machine learning models while utilizing cloud services and big data technologies for scalable applications.

The Implementation Lead will manage customer implementations of Lyric's AI-powered platform, ensuring projects meet timelines, success criteria, and technical quality while collaborating across teams.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.