Top Tech Jobs & Startup Jobs in Mumbai

Serve as trusted advisor to ensure successful implementation, adoption, and ongoing satisfaction of Stratumn customers. Manage relationships, lead success reviews, translate customer needs into functional specs, coordinate with Solution Engineers and Product/Engineering, drive implementations and testing, support production transitions, monitor usage, and promote best practices for increased adoption.

Curate, classify, and organize internal and external knowledge assets using AI-enabled tools. Maintain metadata, taxonomy, and repository hygiene; ensure data quality and governance. Support consultants with content retrieval, reporting, and continuous improvement of KM processes.

Design, build, and maintain ETL pipelines, semantic models and SQL transformations. Develop and optimize Power BI dashboards (DAX, Power Query, RLS), lead end-to-end BI projects, troubleshoot performance, document data lineage, and mentor junior analysts to enforce BI best practices.

Lead and grow a platform/DevOps/SRE team to design, build, and operate cloud-native MLOps and developer platforms (AWS/Azure/GCP). Own platform product roadmap, IaC (Terraform), container orchestration (Docker/Kubernetes), CI/CD, observability, cost optimization, reliability, and enablement for data scientists, ML engineers, and application teams.

Lead end-to-end recruitment for technical and consulting roles across India and globally. Build talent pipelines, manage SmartRecruiters ATS, conduct screenings, coordinate interviews, provide market intelligence, and ensure an excellent candidate and hiring experience.

Lead and deliver multiple client-facing analytics engagements, manage an 8-person analyst team, oversee Power BI/SQL-based dashboards and semantic models, ensure ETL/data quality and governance, mentor staff, present insights to senior stakeholders, and support business development.

Supervise a global hybrid L1/L2 IT support team while actively resolving complex incidents, supporting VIP users, managing MDM and device fleets, improving KB/processes, and coordinating worldwide IT deployments.

The Senior Applied Data Scientist will lead the design and implementation of analytical solutions, translating business requirements into scalable data products while mentoring junior scientists and ensuring model deployment success.

Develop and optimize React-based user interfaces for AI-powered SaaS, ensuring performance, cross-browser compatibility, and accessibility. Collaborate with backend teams and designers, write unit tests and perform code reviews, and manage CI/CD. Use IaC (Terraform, Helm) and deploy/manage applications on GCP/AWS/Azure.

Lead architecture, development, and production deployment of GenAI solutions (LLMs, RAG, agentic systems). Build backend microservices, data pipelines, and cloud-native deployments (AWS/Azure/GCP). Ensure production readiness (monitoring, optimization, security), mentor engineers, own critical repositories, and act as technical lead in client engagements.