Top Machine Learning Jobs in Pune

The Strategic Partner Manager will manage VARs, drive sales growth, build relationships, and support partner-led deals to maximize LogicMonitor's market presence.

The Senior Machine Learning Engineer will develop and deploy machine learning solutions, utilizing diverse data sources to enhance user experience and security in the financial system.

Lead the design and development of scalable data engineering products, optimize data processes, and mentor junior team members in a healthcare analytics context.

Responsible for selling SailPoint's IGA Solution Suite to large organizations, developing relationships with decision makers, and navigating long sales cycles using the Challenger sales methodology.

The Consultant will design and implement ML solutions, collaborate with teams, ensure quality deliverables, and mentor peers, leveraging advanced machine learning and engineering techniques.

Join Boomi as a Fullstack AI/ML Engineer to work on their intelligent integration and automation platform, making impactful contributions.

The Principal AI/ML Engineer will architect and deploy AI systems, innovate internal platforms, lead agent design, integrate APIs, ensure system security and performance, and mentor teams in AI development.

As a Lead Software Engineer, you will enhance and deliver technology products, ensure operational stability, and lead technical evaluations while advocating for new technologies within the team.

Lead AI/ML projects to develop recommendation systems, optimize data pipelines, and deliver strategic insights for supply chain execution while mentoring engineers and collaborating across teams.

As a Senior MLOps Engineer, you will collaborate with data science and engineering teams to manage ML pipelines, monitor models, and deploy solutions in the cloud.

The AI Requirements Engineer will analyze business needs, document AI functional specifications, lead stakeholder engagements, and drive AI solutions implementation with a focus on regulatory compliance and performance optimization.

As an AI Requirements Engineer, you will bridge business needs with AI solutions, manage stakeholder communication, and lead requirements documentation for AI implementations.

The AI Risk Expert will identify and mitigate AI-related risks in banking, ensuring compliance with regulations, developing frameworks, and supporting audits.

The IT Product Owner - AI, will define product vision and strategy, manage roadmaps, gather requirements, lead agile development, and ensure AI solutions meet business objectives while maintaining compliance and leveraging market research.

The Principal Machine Learning Engineer influences AI product development, collaborates with cross-functional teams, and drives business strategies using data analysis and insights.

The Solution Architect will lead technical strategy and delivery for IoT projects, managing client relations, and developing a technical team while overseeing implementation and analytics solutions.

The ServiceNow Solution Architect - AI leads a team to develop AI-driven applications on the ServiceNow platform, integrating ML and NLP solutions, and managing all development aspects from design to testing.

Lead the development of RCM workflows enhanced by AI, manage product roadmaps, prioritize backlogs, and collaborate with cross-functional teams.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

As a Software Consultant, you'll design scalable applications, lead integration of new technologies, mentor developers, and ensure product performance and security through best practices and reviews.

Lead and innovate AI solutions by designing next-gen systems, collaborating on product development, and mentoring teams to enhance AI integration.

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

Lead research initiatives focusing on customer AI experiences, conduct various research methodologies, and translate findings into strategic insights.

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.