Top Tech Jobs & Startup Jobs in Mumbai

Design, develop, modernize, and support enterprise Java applications using Spring Boot and AWS. Implement microservices, REST/SOAP APIs, perform unit/integration testing, deploy to cloud, troubleshoot production issues, mentor team members, and collaborate with clients to meet technical requirements and ensure solution quality.

Conduct research and engineer prototypes for LLMs and multimodal AI: finetuning, quantization, distillation, inference optimization, model merging, and large-scale distributed training. Develop experiments, publish results, collaborate with researchers and engineers, build reusable assets and IP, and create technical content to disseminate findings.

The role involves leading data migration and modernization strategies, designing scalable AWS solutions, and managing large-scale data projects. Responsibilities include technical leadership, architecture design, project implementation, and mentoring engineers.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

Design and deliver end-to-end GenAI and ML solutions on AWS: build SageMaker pipelines, fine-tune LLMs (Llama2), implement RAG with vector stores (OpenSearch/Elasticsearch), develop LangChain-based LLM apps, perform prompt engineering, model evaluation and optimization, and collaborate with cross-functional teams to integrate models into production.

The Architect - Chatbot is responsible for developing and maintaining chatbot applications, designing system architecture, and supervising a small team of developers while utilizing various AI and NLP technologies.

Lead presales and solutioning for P&C insurance clients: craft proposals, build financial cases, design AI/data/cloud solutions, maintain pipeline and collaterals, support BU growth and customer engagements across regions.

Design and deliver large-scale data pipelines and storage/compute solutions on Google Cloud. Build ingestion and processing jobs for terabyte/petabyte workloads, create cloud migration strategies, troubleshoot distributed systems, and develop automation, testing, and monitoring tooling. Collaborate with cloud, software, ML, and operations teams and contribute to proposals and solution designs while ensuring data modeling and governance.

Design and implement scalable enterprise data platforms, ETL/ELT pipelines, data warehouses and lakes. Define data models, governance, security, and architecture standards. Collaborate with product, BI, and data science teams, provide production support, mentor engineers, and evaluate emerging technologies and POCs.

Design, develop, and maintain cloud-native serverless applications on AWS. Build responsive Next.js/React frontends with TypeScript and reusable components, implement Python-based backend services (FastAPI/Flask), author Lambda functions, Step Functions workflows, AppSync GraphQL schemas, and manage data flows across AWS services. Collaborate with architects, DevOps, data engineers, QA, and stakeholders to deliver scalable, secure features and resolve production issues.