Top Machine Learning Jobs in Pune

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

Design and implement AI workflow solutions using Python and Terraform, collaborate with teams, utilize Azure for cloud infrastructure, and ensure compliance with regulations.

The role requires a Business Intelligence Consultant to transform data, develop dashboards, manage data assets, and collaborate with operations to deliver insights in the Investment Banking sector.

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

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.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

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

The job involves utilizing Python and machine learning techniques, specifically for NLP tasks and data processing, using tools like Spark and Azure.

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.

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 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.

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

The Solutions Consultant will lead migration projects, engage with clients on data solutions, improve tools, and handle technical communications. Responsibilities include designing data architectures and ensuring efficient implementations.

The Product Designer will lead design for Fictiv's manufacturing platform, focusing on user experience through research, prototyping, and collaboration with teams.

The Senior Machine Learning Engineer will develop AI solutions to enhance productivity, build and scale ML models, and communicate data science concepts effectively.

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

The Machine Learning Engineer will influence AI product development, collaborate on business problems, apply quantitative analysis, and drive product strategies through data insights.

The role involves leading CFO Analytics consulting, developing financial models, mentoring teams, and guiding digital transformation in finance.

Lead finance transformation projects, advise clients on performance metrics, oversee consulting teams, and develop strategic relations with CFOs while mentoring team members.

The Process Mining Analyst will optimize business processes in travel and finance through detailed mapping, data analysis, and collaboration with cross-functional teams, enhancing efficiency and decision-making.

The Process Mining Analyst will optimize processes using mining techniques, support business analysis in travel and finance, and collaborate across teams to enhance operational efficiency.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

As a Senior Data Analyst, you will forecast case volumes, manage capacity, perform data analysis, and enhance operational performance while partnering with teams for customer experience improvements.

The Applied AI / ML Associate designs and implements AI solutions for banking operations, focusing on document intelligence and automation to improve efficiency and compliance.