Top Tech Jobs & Startup Jobs in Pune

Lead Technical Architect drives end-to-end software development, ensures reusable stable code, mentors engineers, integrates cloud and modern architectures, leads design, reviews, testing, and delivery.

The role involves creating solution architectures, exploring options for efficiency, overseeing other architects, and ensuring compliance with standards.

Lead QA activities including creating and executing test cases, automation and API testing, logging and tracking defects, performance and stability testing, coordinating with product and development teams, and maintaining QA documentation and test frameworks.

Lead requirements gathering and analysis for SAP BTP and SAP ERP solutions, coordinate with stakeholders, designers, and developers, manage UAT, workshops, and Agile ceremonies, and ensure system integrations and custom enterprise applications meet business needs.

Lead design and build of generative AI, multimodal, and agentic systems. Develop and fine-tune transformer models, retrieval/knowledge-graph augmented systems, and production APIs. Deploy and monitor ML services in cloud, collaborate cross-functionally, mentor engineers, and ensure safety, evaluation, and scalable MLOps practices.

Lead ML Engineer responsible for end-to-end software development: design, implementation, testing, documentation, and releases. Ensures code reusability, stability, security, and performance. Owns delivery of complex features, provides technical guidance, mentors engineers, delivers trainings, integrates new technologies, and produces accurate estimates.

Build and maintain scalable Azure and Databricks ETL/ELT pipelines using SQL and Python/PySpark. Design cloud-native data lakes, ingest/process data with ADF/ADLS, optimize data models, monitor pipeline health, troubleshoot failures, and collaborate with architects, QA, DevOps, and business teams.

Design, build, and operate scalable MLOps frameworks on GCP. Automate deployment, CI/CD, IaC, model serving (Vertex AI Endpoints), monitoring, and lifecycle management for Python ML models. Ensure production reliability, scalability, security, and governance across environments.

Lead GenAI engineer role to design, build, and deploy production-grade LLM-based, multimodal, and agentic systems. Responsibilities include model fine-tuning, retrieval and KG-augmented systems, API/microservice deployment, cloud/MLOps integration, monitoring, mentoring, and cross-functional collaboration to deliver scalable, safe, and cost-optimized AI solutions.

Build and deploy production-grade generative AI and multimodal systems: design agentic workflows, fine-tune transformer models, implement retrieval and KG-augmented systems, create scalable APIs/microservices, and collaborate with engineering, CX, and MLOps teams to ensure monitoring, evaluation, and hallucination control.