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.

As a Senior Data Engineer, you will architect system migration to Oracle Cloud, integrate AI/ML solutions, and lead data quality initiatives.

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.

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 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.

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 VP CORE role focuses on optimizing banking operations through data insights, leading process improvements, and managing team performance while ensuring compliance and risk management.

The Senior Product Manager will drive product strategy and development, collaborating with cross-functional teams to enhance customer experience, focusing on AI and SaaS solutions.

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.

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 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.

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.

Seeking an Engineering Manager to lead software engineering squads, drive technical decisions, mentor engineers, and enhance AI adoption in a microservice SaaS product.

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 initiatives to drive significant revenue growth while owning customer pipelines and ensuring data quality and operational efficiency. Manage teams and collaborate with stakeholders across various departments for project advancements.

The Data Processing Executive will manage data annotation and correction for Mortgage documents, ensuring accuracy and collaboration while meeting productivity metrics.

The Senior Manager, Machine Learning leads the Conversation Memory team, focusing on developing foundational AI features, ensuring operational excellence, mentoring engineers, and managing project timelines for ML solutions.

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

The ROR Developer will focus on software engineering practices, design, data structures, algorithms, and deliver projects with responsibility, while keeping pace with industry trends.