Top Tech Jobs & Startup Jobs in Mumbai

Support preparation of standalone and consolidated Ind AS financial statements, quarterly results and disclosures; coordinate audits and auditors; prepare related party schedules and presentations; maintain Ind AS knowledge; use Excel for financial schedules, MIS and analysis; improve processes to ensure regulatory and internal compliance.

As a Fullstack Architect, you will lead the development of enterprise web applications, managing backend and frontend projects while mentoring junior engineers and collaborating with teams.

Design, implement, and manage GCP-based CI/CD pipelines and platform infrastructure. Automate provisioning with IaC (Terraform/ARM), maintain build/release pipelines, manage Git workflows, integrate automated testing, enforce security best practices, and implement monitoring, logging, and tracing. Collaborate with development and security teams to ensure reliable deployments and platform health.

The role involves leading Azure architecture engagements, designing cloud-native solutions, mentoring teams, and collaborating with various stakeholders to optimize cloud adoption and security.

Lead end-to-end AI solutions for clients, manage project delivery and people, partner with sales for business development, collaborate with engineering/MLOps/DevOps, ensure data quality, model training, tuning, deployment, monitoring, and provide executive updates on status and risks.

The Data Modeller will design data models, conduct reviews, collaborate with data teams, and maintain industry knowledge to enhance systems.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

Support end-to-end pricing and commercial structuring for IT and consulting engagements. Collaborate with sales, delivery, and solutions teams to build proposals, rate cards, cost models, and pricing tools. Track commercial performance metrics, develop pricing calculators and dashboards, and analyze margin, win/loss, and pricing variances to drive profitable growth.

Senior Databricks MLOps Engineer responsible for automating the end-to-end ML lifecycle: CI/CD, packaging, deployment, scheduling, monitoring, and reproducible experiments. Build frameworks and pipelines, integrate embedding/LLM components (RAG, vector DBs, LangChain), optimize ML workloads, and collaborate with data scientists and platform teams to productionize models for Claims Payment Integrity.

Responsible for developing and maintaining web applications using React and Python, collaborating with teams to ensure project success.