Top Machine Learning Jobs in Pune

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

The Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, and maintaining relationships with key clients while navigating a lengthy sales cycle.

Perform static and dynamic malware analysis, develop detections and protections, analyze IOCs, validate AI/ML outputs, build automation tools, and publish threat research.

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

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

The role involves designing and implementing machine learning tools for data analysis, developing pipelines for various sensor datasets, and integrating applications into verification ecosystems while guiding junior engineers.

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

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.

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.

Design and implement AI workflows, develop ML pipelines, collaborate with data scientists, and stay current with LLM research to create impactful solutions.

As a Principal AI Engineer, you will define system architecture for AI platforms, ensuring scalability and security while mentoring teams and making architectural decisions.

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

As a Customer Success Manager, you will manage the post-sales lifecycle for enterprise customers, ensuring integration of cloud-native architecture and driving business value through analytics. Responsibilities include technical strategy, customer engagement, account health monitoring, product advocacy, and collaboration with sales for account expansion.

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.

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.

The Senior Consultant will lead finance analytics consulting projects, develop financial models, mentor a team, support digital transformation, and enhance client relationships.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

Develop and maintain DirectX Graphics Driver for NVIDIA GPUs, focusing on graphics features, software quality improvements, and collaboration across teams.

Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.

The role involves reviewing and evaluating content based on provided guidelines, ensuring quality and consistency across annotations as part of a data annotation project for AI models.

As a Demo Engineer, you support pre-sales by designing AI-driven demos and proof of concepts, collaborating closely with teams to showcase Cresta's capabilities.