Top Tech Jobs & Startup Jobs in Mumbai

Leads and scales the India Digital, Data & AI business, owning P&L, revenue, margins, enterprise sales, strategic accounts, and market expansion. Drives new-logo acquisition and account growth across BFSI and India GCCs, leads complex enterprise pursuits and executive relationships, develops Data and AI go-to-market strategies, builds partner ecosystems, and mentors sales, presales, alliances, and account teams. The role also represents the company in industry forums and strengthens market positioning.

Conduct source code reviews across multiple programming languages, identify vulnerabilities, coding inefficiencies, and compliance issues, and prepare reports for stakeholders. Provide remediation guidance to developers and collaborate with application, QA, and security teams. The role requires application security expertise, secure coding knowledge, strong communication skills, independent execution, and an industry-recognized application security certification. This is an onsite position in Airoli, Mumbai, requiring immediate availability.

Conduct advanced penetration testing of web, mobile, and enterprise applications; assess and exploit vulnerabilities; document risks and remediation; create MIS reports and dashboards; present findings to executives and stakeholders; collaborate with technical teams on remediation; and provide secure coding guidance while staying current with attack vectors and security standards.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG solutions using Python and AWS Bedrock. Build REST APIs and microservices with FastAPI or Flask, deploy scalable cloud infrastructure, manage containerized workloads, and develop data pipelines and ETL processes. Work with relational and NoSQL databases, CI/CD, and AWS services while collaborating with technical and product teams and documenting AI workflows.

Provide L3 support and platform engineering for the Domino Data Lab platform. Troubleshoot production incidents involving workspaces, models, jobs, connectivity, access, and performance; conduct root-cause analysis and implement permanent fixes. Manage upgrades, patching, monitoring, tuning, and reliability for enterprise data science and AI/ML workloads. Support Python and R environments, ML workflows, Kubernetes, Docker, AWS, SageMaker, and Azure Machine Learning integrations in regulated or life sciences environments.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.