Top Machine Learning Jobs in Pune

The Senior Consultant will deliver identity security solutions, guide customers on project implementation, and manage multiple project initiatives while leveraging their IAM expertise and technical skills.

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.

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.

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

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

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

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

The Principal Machine Learning Engineer influences AI product development, collaborates with cross-functional teams, and drives business strategies using data analysis and 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 Applied AI / ML Associate designs and implements AI solutions for banking operations, focusing on document intelligence and automation to improve efficiency and compliance.

The Client Partner leads analytics delivery for clients, driving revenue growth, managing teams, and ensuring client satisfaction through strategic insights and innovation.

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

The Implementation Lead will manage customer implementations of Lyric's AI-powered platform, ensuring projects meet timelines, success criteria, and technical quality while collaborating across teams.

The Senior Insights Analyst will support the Client Services team by analyzing data and providing insights to influence business decisions, collaborating with cross-functional teams and stakeholders, and presenting data-driven recommendations.

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

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 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.