Top Machine Learning Jobs in India

Assist in the development of AI applications, deploying models, and creating backend and frontend services. Engage in Agile practices and learn from senior members.

Lead marketing operations and strategy for IT Services. Collaborate with sales, generate leads, manage creative teams, and build brand awareness.

The candidate will lead a team, develop business strategies for government clients, drive revenue, and manage stakeholder engagement.

The Customer Segment Leader for the Government Sector will manage teams and drive business development while establishing senior connections to meet revenue goals and maintain excellent service delivery.

The Customer Segment Leader will manage a team, drive business development, establish senior-level connections, and deliver revenue targets, focusing on government clients in IT.

The ROR Developer will focus on software engineering practices, design, data structures, algorithms, and deliver projects with responsibility, while keeping pace with industry trends.

The Data Scientist will leverage critical thinking and data analysis skills to develop Machine Learning models for detecting financial crime risks and synthesizing data requirements.

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

Design and maintain enterprise Power BI semantic models and scalable SQL-based data structures. Deliver governed reporting, AI-enabled analytics, automation solutions, and actionable supply-chain insights while ensuring data integrity and stakeholder alignment.

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

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

Responsible for developing, testing, and supporting embedded software including drivers, frameworks, and validation activities. Collaborates with teams and ensures software quality.

Design and develop EMS/GMS software, integrate SCADA/EMS/GMS with IT/OT systems, collaborate with customers on configuration, testing, and training, provide technical support and proposal input, and ensure regulatory and quality compliance.

Serve as Product Owner for SCADA/EMS software: own and prioritize backlog, gather requirements from R&D and customers, collaborate with Agile teams to deliver high-quality EMS features, manage risks, ensure compliance, and drive continuous improvement.

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

As an entry-level Development and Operations Engineer, you will support ITSM SaaS implementation, manage incidents, and enhance service delivery using AI technologies.

The AI Recruiter will manage the entire recruitment process for AI-related roles, collaborate with stakeholders on hiring strategies, and maintain a talent pipeline.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

The AI/ML Intern position is designed for aspirants eager to learn and grow in a remote environment, working on exciting projects.

KPMG in India is seeking a Senior AI/ML professional to provide technology-enabled services to diverse clients, leveraging performance-based and industry-focused expertise.

The Advanced Analytics Manager develops machine learning models, conducts data analysis, automates processes, and coordinates with stakeholders to deliver insights and ensure data governance.

The role involves driving AI/ML quality engineering, optimizing CI/CD pipelines, and leading automation solutions for model evaluation and deployment.

Lead the development of methodologies for retail data collection and enhance quality through machine learning and statistical techniques. Collaborate with various teams to document and innovate data science methodologies.

The Machine Learning Operations Engineer is responsible for designing and maintaining ML pipelines, ensuring efficient model deployment, monitoring model performance, and optimizing infrastructure for ML workflows.

The AI ML Engineer will develop LLM-based features, enhance AI integration, support model evaluation and ensure AI quality while collaborating with teams to deliver high-quality AI applications.