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.

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

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.

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

The Data Scientist will analyze large datasets, develop predictive models, automate processes, and generate insights to support operational efficiency and risk mitigation in Financial Crime Operations.

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.

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

The AI / ML Engineer designs and builds applications using AI tools and services, manages application pipelines, integrates Generative AI models, and collaborates with teams for project success.

The role involves developing AI applications, managing deployment pipelines, mentoring team members, and integrating Generative AI models to enhance project outcomes.

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 Principal Software Engineer will architect and develop AI applications using Python, lead implementation efforts, and collaborate with teams to enhance digital workforce capabilities.

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 Solution Architect will design, develop and implement cloud-native platforms for fraud detection, balancing technology risks and business needs, while collaborating with stakeholders and ensuring compliance with governance processes.

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

Build and maintain systems for collecting and processing data, design data architectures, and collaborate with data scientists on machine learning models.

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.

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.

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

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.