Top Machine Learning Jobs in Pune

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

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.

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 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 AI/ML Engineer will design, build, and deploy AI solutions to enhance observability and automation. Responsibilities include developing NLP models, generative AI solutions, and AI-driven analytics while collaborating with cross-functional teams.

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.

The AI Data Engineer will build and maintain data systems, design data architectures, collaborate with data scientists, and advise on strategies for data management and governance.

The Lead Analyst will develop and deploy AI models, build predictive models, implement machine learning in production, and assist product managers with model analysis.

The Lead Analyst will develop and deploy machine learning models, implement AI algorithms, and train AI engineers, requiring extensive technical knowledge and experience.

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

Lead design, build and maintain data architectures, pipelines, warehouses and lakes; develop processing and analysis algorithms; collaborate with data scientists to deploy ML models; manage risk and lead teams or projects.

Lead and develop engineering teams for deep learning solutions. Focus on TensorRT and benchmarking. Drive technical leadership and oversee GPU deep learning implementations.

The Data Engineer will build and maintain data architectures, pipelines, warehouses, and lakes, ensuring data accuracy and security. They will collaborate with data scientists and oversee operational processes within the team, driving continuous improvement.

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.

The Senior ML/AI Engineer will lead the design and deployment of machine learning models, focusing on predictive analytics and AI solutions, while collaborating with stakeholders and ensuring scalable production systems.

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.

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

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Data Science Lead analyses and models data to create actionable insights, develops AI solutions, and mentors junior team members.

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.

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.