Top Machine Learning Jobs in India

Lead mapping and optimization of credit risk workflows to embed AI capabilities, manage governance and cross-functional working groups, ensure controls and compliance, and support program reporting and stakeholder communication to deliver regulated, strategic credit risk transformation.

The role involves designing multi-agent AI systems, building RAG pipelines, integrating LLMs, and optimizing AI solutions on Azure while collaborating with engineering teams.

Design and implement AI systems using LangChain and Azure, build RAG pipelines, integrate LLMs, and collaborate with engineering teams to enhance AI capabilities.

Lead the design and development of innovative video understanding solutions using AI and machine learning techniques to enhance content creation and analysis.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

This internship program involves coding, software development, and collaboration with teams on real-time projects while receiving mentorship from industry professionals.

The Senior Software Engineer will lead ML applications for search, implement scalable systems, analyze AB tests, and mentor team members.

As a Data Scientist III, you will design and maintain data processing systems, build scalable data pipelines, and optimize machine learning models while collaborating with stakeholders.

The Senior Machine Learning Engineer will design and develop AI-powered products, implement ML lifecycle processes, optimize performance, collaborate with teams, and stay updated on AI trends.

The Analyst will leverage data science and machine learning expertise to develop solutions, communicate with clients, and handle large datasets.

The Oracle Fusion Consultant will implement AI capabilities in Oracle Fusion Cloud ERP, optimize finance modules, identify automation opportunities, and collaborate with stakeholders for effective integration and compliance.

The Senior Product Manager will drive the strategy and execution of AI-powered product knowledge systems, focusing on search and recommendations to enhance user experiences.

Develop and optimize machine learning models for demand forecasting and planning using various AI techniques while collaborating with project teams to ensure successful delivery.

The Full Stack Engineer will design and build scalable applications using AI and machine learning, focusing on features like sentiment analysis and predictive analytics. Responsibilities include API development, system integration, and optimizing performance.

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

The role involves leading the development of AI and machine learning solutions, focusing on generative AI and large language models, while ensuring responsible and ethical practices. Responsibilities include optimizing models, building solutions for automated processing, and collaborating with product teams.

Lead design, develop, and maintain scalable Python backend applications and data pipelines. Mentor engineers, conduct code reviews, troubleshoot performance issues, participate in architecture and full SDLC, and improve engineering processes.

Design, develop, and deliver scalable, secure payments screening software. Collaborate cross-functionally, perform solution design, apply secure coding and unit testing, mentor or lead team, and support operational risk and controls.

The AI Developer with RPA will design and develop AI models and implement RPA solutions to improve operational efficiency and streamline workflows.

Own and evolve one or more B2B SaaS product lines: define roadmaps, write specs and user stories, build wireframes/prototypes, integrate GenAI/ML features, collaborate cross-functionally, use analytics to drive decisions, and deliver high-quality releases on schedule.

The L2.5 BSS Engineer manages the BSS platform, troubleshoots issues, supports sales teams, implements automation scripts, and provides technical support to ensure service quality and efficiency.

The candidate will develop algorithms for optimizing therapeutic mRNAs, collaborate with teams on data acquisition, and communicate findings. A Ph.D. in a relevant field is required along with experience in machine learning and bioinformatics.

Design and execute comprehensive test plans for NDR/IDS features, automate tests in Python, validate detection and alerting pipelines (Kafka/Flink), integrate tests into CI/CD, debug across environments, and collaborate with engineering, detection, and product teams.

The role involves utilizing advanced data analytics skills, leading machine learning projects, mentoring junior analysts, and collaborating across teams to derive actionable insights from data.

Lead delivery of digital transformation engagements in healthcare and life sciences. Manage client relationships, project financials, resource allocation, and Scrum ceremonies. Coordinate with technical architects (cloud, data, ML) to ensure roadmaps, risk mitigation, reporting, and continual improvement across programs.