Top Tech Jobs & Startup Jobs in Pune

Lead end-to-end delivery of AI/ML models, data pipelines, and full-stack cloud-native applications. Drive program strategy, roadmaps, architecture reviews, Agile execution, and cross-team collaboration to move models from prototype to production while reporting KPIs and ensuring reliability, security, and cost-efficiency.

Serve as SME for enterprise hardware break/fix support, manage ticket queues and dispatches, handle escalations, mentor junior engineers, produce documentation and KB articles, analyze recurring issues, collaborate with field/engineering/product teams, and report SLA and operational metrics while supporting 24×7 regional coverage.

Analyze and model customer data using classical ML and NLP techniques, select algorithms, perform data wrangling and visualization, deploy models on cloud/big-data platforms, and communicate technical findings to non-technical stakeholders.

Lead procurement digital transformation programs using analytics, automation, and strategic sourcing to drive cost savings, implement procurement platforms (e.g., SAP Ariba), develop dashboards, identify AI/RPA opportunities, manage stakeholders globally, and track program benefits including sustainability initiatives.

Design, build, and deploy scalable ML pipelines and production models (MLOps). Integrate and manage LLMs, track model lifecycle with MLFlow, collaborate in agile teams, perform code reviews, and ensure robust ML infrastructure and monitoring.

Lead enterprise data strategy and architecture for scalable, secure, AI-ready lakehouse/data platforms. Define governance, quality, observability, metadata/lineage, and data security. Enable AI/ML and GenAI use cases, advise senior stakeholders, and mentor teams.

Design and drive end-to-end full-stack solutions across digital and manufacturing landscapes, ensuring compliance with GMP and security. Lead requirements, architecture, CI/CD, cloud integrations (AWS/Azure), and API development. Mentor teams, evaluate technologies, remediate technical debt, and guide agile delivery from design through deployment.

Design, build, and deploy production-grade AWS data services and ETL pipelines using PySpark and AWS Glue. Perform data modeling, data warehousing, and advanced SQL development; automate CI/CD and Lambda workflows; work with Redshift/RDS and large datasets to extract and transform data for analytics.