Top Machine Learning Jobs in Pune

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.

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 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.

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.

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

The Data Engineer will build and maintain data systems, ensuring data accuracy, accessibility, and security while collaborating with data scientists and leading team activities.

The Senior IT Process Analyst designs and implements AI solutions to enhance ITSM processes and supports continual improvements by integrating advanced AI techniques into ITSM operations.

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

The Data Modeller will analyze data issues, design data pipelines, apply advanced analytics, create visual reports, and collaborate with teams to optimize data solutions.

The Data & Records Governance Analyst ensures effective governance and compliance in data management, collaborates with business units, and drives data quality improvements and risk management. The role involves implementing processes, analyzing data, and guiding teams.

This role involves designing and executing automated test strategies, collaborating with teams, performing defect analysis, and driving testing process improvements while utilizing Generative AI and cloud technologies.

Build and maintain systems for data collection, storage, processing, and analysis. Collaborate with data scientists and lead team efforts in delivering effective solutions.

The Senior Data Scientist will analyze large datasets, develop machine learning models, and automate workflows in Cyber Threat Intelligence, enhancing decision-making.

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

Design and implement AI models, operationalize ML models, develop CI/CD pipelines for ML workflows, and provide technical guidance while ensuring data security compliance.

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 Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

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 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.

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.

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 GIS Analyst - GeoAI leads Remote Sensing and GeoAI projects, conducting image analysis and developing ML models for geospatial data, ensuring technical excellence.

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

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.