Top Tech Jobs & Startup Jobs in Pune

Designs, develops, deploys, and maintains scalable enterprise software and cloud platforms. Responsibilities include managing CI/CD pipelines, optimizing AWS/Azure/GCP infrastructure, applying SRE practices, automating operational tasks with scripting and IaC, implementing security controls, documenting technical processes, and collaborating across engineering, operations, QA, and security teams. The role also explores generative AI and translates business requirements into technical solutions.

Audits electronically submitted legal fee and expense invoices for compliance with billing guidelines, verifies UTBMS codes, adjusts line items, documents decisions, and supports quality assurance and performance reporting. The role requires legal billing expertise, knowledge of civil procedure, strong analytical judgment, communication, organization, proofreading, and proficiency with Microsoft Office and electronic legal billing systems.

Leads and mentors engineers developing enterprise cloud services, APIs, automation, and UIs using Python, Azure, AWS, infrastructure-as-code, DevOps, and GenAI. Responsibilities include software architecture, full-stack development, cloud automation, testing, performance optimization, secure SDLC, API and data design, troubleshooting, documentation, stakeholder communication, and project delivery. The role also establishes engineering standards, operationalizes services, evaluates emerging technologies, and guides responsible AI adoption.

Prepares financial reports, analyzes financial data and sales trends, supports forecasting, budgeting, financial modeling, and economic research. Maintains accurate financial records, contributes to financial plans, and collaborates on projects while working under moderate guidance.

Reviews and audits electronic legal invoices for compliance with billing guidelines, verifies UTBMS codes, adjusts improper charges, and documents decisions. The role analyzes legal service agreements, supports quality assurance and reconsideration reviews, conducts performance analysis, develops procedures, mentors analysts, and collaborates with AI decision-science teams to improve legal billing tools.

Leads data science, AI, and machine learning capabilities across enterprise platforms. Develops cloud-based content classification systems, governs content lifecycle and metadata enrichment, embeds AI intelligence into product roadmaps, and creates agentic AI frameworks. Partners with product, engineering, and domain teams to align technical execution with business goals while mentoring operations and enablement teams.

Leads enterprise analytics and BI initiatives by architecting Power BI dashboards, standardizing KPIs, automating reporting, and analyzing complex datasets. Builds and deploys machine learning and generative AI solutions for forecasting, financial reporting, document insights, and chatbot support. Partners with finance, data engineering, and cross-functional teams to improve data governance, deliver strategic insights, mentor analysts, and promote data literacy.

Supervise accounting activities within a Finance Shared Service organization, including complex financial reporting, reconciliations, month-end and year-end close, financial analysis, audit coordination, compliance, transaction oversight, accounting system improvements, and special projects.

Develops and supports data science, machine learning, Generative AI, NLP, LLM, RAG, and Agentic AI solutions. Responsibilities include data preparation, feature engineering, model development and evaluation, experiment tracking, API and pipeline development, deployment support, monitoring, visualization, documentation, and collaboration with engineering, product, and business stakeholders. The role emphasizes reliable, maintainable, governed, and responsible AI solutions.

Designs, develops, and deploys scalable data science, machine learning, generative AI, and agentic AI solutions. Translates business needs into secure enterprise architectures, builds and evaluates production models, leads AI initiatives from concept through deployment, and establishes monitoring and performance practices. Collaborates with product, engineering, data, and business stakeholders while providing technical leadership across conversational AI, intelligent agents, retrieval systems, and advanced analytics initiatives.