Top Tech Jobs & Startup Jobs in Pune

Lead and manage AI engineering teams to design, build, and maintain scalable ML/GenAI infrastructure and deployment pipelines on AWS. Drive technical strategy, governance, CI/CD and IaC practices, mentor staff, collaborate with stakeholders, and ensure secure, high-quality delivery aligned to business objectives.

Lead data analysis and pipeline design to enable data-driven decisions. Investigate data quality and lineage, build automated ETL, apply statistical and ML techniques, and produce interactive dashboards and reports to support stakeholders and operational improvements.

Lead data analysis and engineering to enable data-driven decisions: investigate data quality and lineage, build automated pipelines, apply advanced analytics and ML, design interactive dashboards and reports, translate insights into business recommendations, and support governance and controls while coaching or leading team members.

Own and prioritize the Charles River product backlog, define user stories and acceptance criteria, liaise with stakeholders and delivery teams, drive roadmap execution and Agile ceremonies, support CRIMS implementations/upgrades and SaaS migrations, monitor product performance and risk controls, and lead or coach analysts to deliver investment management capabilities across front-to-back workflows.

Lead design, development and delivery of enterprise Salesforce solutions. Drive architecture, integrations, performance, security and DevOps practices; mentor engineers; own end-to-end delivery from requirements to production support in a large global environment.

The Cloud Platform Engineer builds and maintains infrastructure platforms, ensuring reliability and security, handles incident management, and develops automation solutions. They collaborate with teams to align IT infrastructure with business objectives while mentoring team members and engaging in complex data analysis.

Lead engineering teams building and maintaining an advanced analytics platform across AWS, Kubernetes, OpenShift, and on-premises environments. Oversee delivery, resources, risks, processes, technical standards, testing, and stakeholder alignment. Enable governed model development, monitoring, training, deployment, and self-service delivery through infrastructure automation and CI/CD pipelines. Mentor team members, advise senior stakeholders, manage controls, and drive technical strategy and continuous improvement.

Designs, builds and maintains data pipelines, data warehouses and data lakes; implements processing and analysis algorithms; ensures data accuracy, security and accessibility; collaborates with data scientists to deploy ML models; may lead and supervise a team and enforce risk, controls and governance.

Define and communicate product vision, prioritize and maintain the product backlog, write user stories and acceptance criteria, collaborate with stakeholders and engineering to deliver platform enhancements (APIs, integrations, cloud/microservices), monitor KPIs, manage risks/dependencies, and lead roadmap execution and continuous improvement for digital products.

Use data and MI to identify capacity-creation opportunities, design and implement process and journey optimisations, build analytics and reports, drive TOM and automation initiatives, advise stakeholders, and lead/coach teams to improve operational efficiency, controls, and customer experience.