Top Tech Jobs & Startup Jobs in Pune

Analyze business challenges and identify AI, automation, and digital transformation opportunities. Perform exploratory data analysis, build AI prototypes and automations, write and test Python, queries, prompts, and workflow logic, and collaborate with engineers, data scientists, and stakeholders. Translate requirements into solution plans, evaluate emerging AI technologies, and deliver practical AI applications, agents, copilots, and proof-of-concepts.

Lead enterprise AI and machine learning strategy, architecture, development, and production deployment. Design predictive analytics, generative AI, LLM, RAG, and agent solutions; establish MLOps, governance, monitoring, and responsible AI practices; align initiatives with business value and ROI; communicate with executives and stakeholders; prioritize and deliver AI programs; and mentor data scientists, ML engineers, and analysts.

Early-career consulting role supporting digital transformation and AI initiatives. Responsibilities include requirements gathering, business process analysis, documentation (BRDs/FRDs/user stories), coordinating Agile delivery, supporting testing and UAT, preparing basic analytics/dashboards, and working with stakeholders while learning enterprise technologies and consulting practices.

Deliver end-to-end digital transformation and AI-enabled solutions by gathering requirements, designing functional solutions, coordinating cross-functional teams, executing SDLC activities, supporting testing and deployment, and driving business adoption. Use analytics, automation, and AI where applicable and maintain governance, documentation, and continuous improvement.

Lead end-to-end delivery of digital transformation and AI initiatives, establish project governance, manage resources and stakeholders, drive Agile execution, mentor consultants, and ensure on-time, high-quality business outcomes and adoption.

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.

Lead end-to-end ML and AI initiatives: problem framing, modeling, deployment, monitoring, and MLOps. Architect and deliver GenAI and agentic systems, mentor data science teams, align solutions with business outcomes, and own production model health.

Serve as a techno-functional business analyst: gather and translate requirements, design functional specifications, support integrations and data flows (APIs, databases, cloud), collaborate with architects and developers, support UAT and deployment, and drive process improvements and change management for digital transformation initiatives.

Support end-to-end recruitment and HR operations including sourcing, resume screening, interview coordination, onboarding, employee record maintenance, HR documentation, attendance and leave tracking, and assisting employee engagement activities while ensuring confidentiality and compliance.

Design, develop, and optimize large-scale PySpark ETL/ELT pipelines on Databricks. Implement Delta Lake lakehouse architectures, tune Spark jobs, write complex SQL, monitor production, enable CI/CD, mentor junior engineers, and collaborate with stakeholders on scalable data solutions.