Top Python Developer Jobs in Mumbai

Develop modular, efficient Python applications for portfolio analytics and client-facing solutions. Scope and deliver strategic technology projects, collaborate with stakeholders, and stay current with tools and finance platforms to improve business efficiency.

Design and build scalable systems, data pipelines, and full‑stack applications to validate product quality and produce KPI reporting. Integrate AI-driven features (RAG, agents, semantic search), automate statistical analysis, support CI/CD, conduct code reviews, and collaborate in Agile teams to translate business needs into technical solutions.

Lead design and delivery of enterprise data platform capabilities, building scalable ingestion, transformation and orchestration pipelines using Python, Airflow, Snowflake and dbt. Drive metadata, lineage, data quality, observability, and Agentic AI integrations; support production L2/L3 operations, CI/CD deployments, POCs, cross-functional integration, and mentor engineering teams within an Agile framework.

Design, build, and maintain scalable, secure Python backend services and RESTful APIs on AWS. Integrate Pindrop and Amazon Connect, implement CI/CD, observability, and infrastructure-as-code, and support contact center migrations.

Lead integration and deployment of Vision Foundation and Vision-Language Models into scalable production systems. Build APIs, inference pipelines, evaluation and benchmarking frameworks, and data pipelines for large-scale image/video multimodal workloads. Collaborate with data scientists to optimize models, analyze failures, and support retrieval-augmented systems using embeddings and vector databases.

Lead backend development using Python to build low-latency, high-availability systems. Implement OCR solutions, integrate multiple data sources and databases, develop Web/REST APIs, ensure security and data protection, write reusable/testable code, unit test and debug, collaborate with frontend and business teams, and work independently to deliver solutions.

As a Full Stack Developer, design and maintain web applications using JavaScript frameworks, develop APIs, collaborate in Agile teams, and mentor junior staff.

Design, build, and maintain scalable Python backend services using AWS (Lambda, EC2, S3, DynamoDB, API Gateway). Develop RESTful APIs, optimize performance, collaborate on CI/CD and deployment automation, use IaC (CloudFormation/Terraform), containerize with Docker and orchestration (ECS/EKS), mentor junior developers, and participate in agile processes.

Develop and maintain Python backend components, design and optimize SQL for large datasets, perform ETL, integrate front-end and third-party services, troubleshoot applications and databases, ensure data quality and security, participate in code reviews, and produce technical documentation.

Develop and maintain backend applications using Python and Django. Architect and implement microservices, migrate monolithic systems to microservices, build RESTful APIs, optimize performance and security, collaborate with DevOps/frontend/QA, and troubleshoot production issues.

Develop and maintain scalable backend systems with Python (Django/Flask), build responsive front ends with React or Angular, integrate AI/ML components, ensure performance and security, participate in architecture and code reviews, and collaborate with cross-functional Agile teams.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Build, test, and maintain scalable, high-performance Python services for the healthcare domain. Write clean code, optimize performance and security, debug issues, collaborate with product owners, and document technical solutions.

As a Python Developer, you will develop fullstack applications, manage backend systems, and collaborate to drive technical solutions that impact business results.

Python Developers will design and evaluate software engineering tasks, including bug fixing and feature development, while reviewing peer submissions for quality.

Develop and maintain Python applications: fix bugs, improve data integrity and system efficiency, produce documentation, participate in Agile ceremonies, own tasks across the SDLC, mentor juniors, and collaborate with testers and business analysts.

Seeking a Python Developer with 5+ years experience to build and maintain Python applications, collaborate with teams, and support ERP/BI-related projects. Multiple openings based in Mumbai; candidates must be able to work on-site and provide requested application details.

Develop, maintain, and improve Python applications; fix bugs; ensure data integrity and system efficiency; produce and maintain documentation; participate in Agile ceremonies; own tasks across the SDLC; collaborate with testers and business analysts; mentor junior team members. Oracle DB experience is a plus. On-site position in Mumbai (Malad) with short notice-period preference.

Develop and maintain simple Python scripts to support ERP/BI solutions. Participate in implementations, provide scripting support, and assist with client deliverables. On-site role in Mumbai.

The role involves managing data operations, automating processes, monitoring data pipelines, and maintaining operational documentation within QRT.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Develop, debug, and maintain Python 3 code for serverless AWS services (Lambda, S3, SQS, SAM). Build HTTP APIs and event-driven systems, work with relational databases, use CI/CD, Git/GitHub, Jira/Confluence, and apply TDD/BDD while collaborating with remote teams across time zones.

Develop and maintain web applications using React.js front end and Python back end, build/consume RESTful APIs, deploy and manage services on Azure, collaborate with designers and engineers, participate in code reviews, debugging, and agile development to deliver scalable user-friendly solutions.

Develop and maintain Python-based solutions for generative AI and NLP tasks, including LLM fine-tuning, prompt engineering, embeddings, vector DBs, REST APIs, Docker, and cloud deployments using PyTorch/TensorFlow/JAX and frameworks like Hugging Face, LangChain, or OpenAI.

Build and optimize Python-based backend microservices, integrate AI/ML models with production systems, manage containerized deployments (Docker, Kubernetes), maintain PostgreSQL and MongoDB databases, use IaC (Terraform, Helm) on cloud platforms, and collaborate with cross-functional teams to deliver scalable AI-powered SaaS solutions.