Top Tech Jobs & Startup Jobs in Pune

The Machine Learning Engineer role involves designing, building, and operating ML systems, collaborating with data scientists, and ensuring governance in production environments. The engineer will manage the ML lifecycle and contribute to the technical strategy and MLOps maturity.

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.

The Software Engineer designs, develops, and enhances software solutions. Responsibilities include collaboration with teams, adherence to secure coding practices, and implementing unit testing. The role involves leadership or individual contributions in complex analytical tasks, communication, and stakeholder management.

Provide liaison between business, technology, and security to ensure information security and mitigate risks through assessments, training, and policy development.

Design, develop and improve scalable software solutions, collaborate with cross-functional teams, ensure code quality, and adhere to secure coding practices.

The DevOps Engineering Lead designs and improves software using various methodologies, manages CICD pipelines, and fosters collaboration across teams.

Build and maintain data pipelines, warehouses and lakes; design architectures for secure, scalable data processing; develop processing algorithms; collaborate with data scientists to deploy ML models; lead or support team members and embed risk, controls and governance.

Lead and manage engineering teams to deliver high-quality software: oversee timelines, risk, resource allocation; mentor staff; improve processes, enforce standards, collaborate with stakeholders, and influence policy and controls.

The Data Analyst role focuses on data analysis, issue investigation, and building data pipelines to drive business recommendations and improvements through advanced analytics and visual reporting.

The Data Engineering Lead will oversee data architectures, pipelines, and data product delivery, ensuring data quality and compliance while managing team performance and strategic initiatives.