Top Machine Learning Jobs in Pune

The Senior Product Manager will drive product strategy and development, collaborating with cross-functional teams to enhance customer experience, focusing on AI and SaaS solutions.

The Analyst develops business capabilities for Finance, focusing on functional design, data analysis, process controls, implementation support, and functional testing, ensuring high standards and continuous improvement in operations.

The Senior Manager will oversee multiple agile teams, ensuring effective team performance, strategic planning, and technical leadership in software development, with a focus on AI and cloud technologies.

As a Data Scientist, you will develop AI solutions, analyze data, collaborate with teams, and identify AI business opportunities, impacting global workflows.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

Design and implement SAP IBP demand planning solutions, enhance forecasting accuracy using AI and statistical models, and integrate data flows for effective supply chain planning.

Lead AI transformation initiatives by developing architectures, managing cross-functional teams, and ensuring compliance in BFSI environments. Engage with C-level stakeholders to align AI solutions with business objectives.

The Digital Manufacturing IT Application Analyst - Senior translates business requirements into technical specifications, designs IT solutions, develops infrastructure components, ensures compliance, and provides support for critical manufacturing IT systems.

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

The UX Designer will create user-friendly experiences for healthcare products, integrating AI tools and collaborating with teams to deliver designs that empower users.

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

As a Customer Support Engineer, you will resolve customer technical issues, perform installations, upgrade systems, and support field services while maintaining customer relationships.

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.

The Staff Machine Learning Engineer will architect and implement scalable GenAI platform solutions, ensuring reliability and safe AI experiences across product lines while mentoring engineers and leading technical strategies.

The Senior Backend Engineer will design, develop, and maintain software solutions for identity verification, focusing on scalability, security, and high performance, while mentoring junior engineers and collaborating in an agile environment.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

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 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.

As a Backend Engineer at Socure, you'll design, develop, and deploy software solutions, ensuring scalability, security, and high quality while mentoring junior engineers and collaborating in an agile environment.

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

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

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

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.

The IT Analytical Engineer develops BI solutions, supports self-service analytics, and collaborates to model data from various sources, enabling actionable insights.

The role involves building and deploying ML solutions, data analysis, model development, and collaborating with stakeholders, focusing on business impact.