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.

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.

The Sr. Data Engineer will focus on extracting insights from data, building data pipelines, ensuring data quality, and leading analytical projects to improve business processes.

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.

As a Senior Software Quality Engineer, design and implement testing strategies for backend infrastructure and AI features ensuring reliability and quality across applications.

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.

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

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

As a Senior ML/AI Research Engineer, you will lead a team to integrate advanced algorithms into products, mentor engineers, and drive innovative research initiatives in machine learning and AI.

Analyze encrypted network data to identify trends, develop analysis pipelines, and ensure detection accuracy. Requires machine learning and network protocol knowledge.

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

Build and maintain systems for data collection, storage, processing, and analysis; collaborate with data scientists, ensure data integrity and security.

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 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.

The role involves analyzing large datasets, developing AI models, mentoring junior staff, and creating data visualizations to drive business decisions.

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

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

The role involves leading AI and ML strategies, integrating advanced capabilities into products, and optimizing data science models, emphasizing innovation and reliability.

Manage and develop a team of product designers, set goals, optimise processes, advocate for design resources, and contribute to design strategy.

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.