Top Machine Learning Jobs in India

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.

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.

Lead and grow a backend engineering team building scalable, cloud-agnostic infrastructure and services for big data and ML workloads. Hire engineers, enforce technical standards, partner with product and customers, define roadmap, and coordinate cross-team execution to deliver reliable, monitored, and tested systems at scale.

The role involves qualifying new products, designing test cases, assessing automation feasibility, and participating in software deployment and troubleshooting with customers.

The Staff Software Engineer will develop AI/ML models and solutions, collaborate on design and implementation, and support R&D efforts in the healthcare industry.

The Director of Product Management at Tekion will lead Go-To-Market initiatives, drive AI-powered content strategies, and influence product direction through market insights, while mentoring a high-performing team.

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

The Lead Software Engineer will automate content processes, develop services, and implement consistent development practices using GitHub Copilot across teams.

The Manager - Strategy & Operations role involves driving tech operations optimization and collaborating with a capable team to enhance business performance.

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 Business Analyst will optimize order management processes, enhance Oracle Applications, and lead key business initiatives, acting as a liaison between technical teams and stakeholders.

Lead engineering teams to drive quality in product portfolios, establish testing strategies, enforce automation, and manage test engineers' performance.

Develop applications using AI and ML techniques, focusing on generative AI models, deep learning, and cloud-based solutions while collaborating with cross-functional teams.

Develop AI applications using Machine Learning and Generative AI. Collaborate across teams, conduct research, optimize models, and ensure data quality.

The Associate Architect - Machine Learning will develop architectures, mentor teams, work on healthcare ML projects, and communicate insights to clients.

The Principal Software Engineer will architect and develop AI applications using Python, lead implementation efforts, and collaborate with teams to enhance digital workforce capabilities.

Lead ML engineering team to implement AI/ML strategies, design multi-modal AI pipelines, develop transformer models, and establish MLOps workflows while ensuring best practices and innovation.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

Responsible for developing scalable applications for Big Data solutions, leading complex projects, mentoring engineers, and ensuring high-quality delivery of services.

The Lead Data Engineer will manage a team, develop data pipelines, interpret project requirements, and advocate for data architecture solutions, while fostering team growth and collaboration.

Lead methodology development for Retail Establishment Survey and universe estimation using statistical and ML techniques. Research, prototype, and deploy methodological enhancements, collaborate across teams, document global data science methods, and mentor/support teams to improve quality and process efficiency.

The Senior Sales Manager drives revenue and customer satisfaction by developing strategic client relationships and delivering customized advertising solutions. They manage client activities and ensure clients' advertising needs are met through effective engagement and planning.

The Senior Sales Manager drives revenue growth through strategic client relationships in online advertising, focusing on Microsoft's ads. Responsibilities include account acquisition, client management, and performance optimization for advertising solutions.

Design, build, fine-tune, and deploy language and document-understanding models; consult stakeholders to frame requirements; develop analytic plans; collaborate with engineers to integrate models; manage multiple projects and present insights to technical and non-technical audiences.