Top Python Developer Jobs in Pune

The Associate Staff Engineer will leverage their coding knowledge and collaborate with teammates to solve client challenges and enhance solutions.

The Staff Engineer, Python will leverage tech knowledge to guide teams, solve client challenges, and enhance solutions for significant impact.

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.

Develop and deploy scalable GenAI applications, optimize LLMs, and collaborate with teams while mentoring junior developers.

Design, build, and scale cloud-native Python backend services and data-backed applications. Develop RESTful APIs, microservices, and asynchronous event-driven systems. Deploy and operate production workloads on Kubernetes and at least one public cloud (AWS or Azure). Work with cloud data warehouses (Snowflake or Databricks) and relational databases, ensuring scalable, reliable distributed systems.

Design, train, and productionize state-of-the-art object detection systems. Build robust training pipelines, perform error analysis and ablations, optimize inference for latency and memory, and deliver production services with Docker, CI/CD, and APIs. Implement testing, monitoring, model versioning, and retraining pipelines. Rapidly prototype research ideas into deployable components and maintain clear technical documentation.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

Develop and unit-test Python/Django code, lead small-to-medium features end-to-end, resolve complex production issues, mentor engineers and interns, apply secure coding and threat modeling, and work with the ServiceNow codebase supporting Layer 2 applications in cybersecurity products.

The Tech Lead/PM will design, develop, and improve software, ensuring high-quality solutions, collaboration, secure coding, and effective testing practices.

Develop and maintain scalable web applications using Python and React.js, optimize APIs, manage applications on AWS and GCP, and ensure code quality through best practices.

Develop, test and maintain Python backend applications; build and integrate RESTful APIs; work with SQL/NoSQL databases; implement and optimize machine-learning models for production (preferred); collaborate with cross-functional teams; troubleshoot and debug applications.

Build and maintain Python/FastAPI backend services and React frontends, design and consume REST APIs, work with relational databases, and implement/debug AI-enabled features including vector DBs, embeddings, semantic search, and RAG workflows. Improve existing codebases, collaborate with product and design, participate in testing, deployment, and monitoring, and ensure performance, security, and maintainability.

As a QA Automation Engineer, you'll work with the latest technologies to enhance software quality through automation, particularly using Playwright and Python.

Design, develop, and maintain scalable Python backend applications and APIs. Collaborate with frontend, DevOps, and product teams. Write reusable, testable code, optimize for performance and security, integrate third-party services, implement automated tests, perform debugging and code reviews, and document systems.

The Senior GenAI Engineer will develop and deploy Generative AI applications using Python and Azure, lead projects, mentor juniors, and stay innovative in AI trends.

Design and build scalable full-stack applications using Python or Java backends and Angular frontends. Develop microservices, implement CI/CD and DevOps practices, deploy to cloud platforms (GCP/Azure/AWS) using Docker and Kubernetes, debug and optimize code, and collaborate across teams to troubleshoot and improve distributed systems.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

The Software Test Engineer II creates and maintains automated tests, collaborates with engineering teams for product quality, and troubleshoots bugs in a disciplined agile environment.

The Python QA Developer will create and maintain efficient code, design low-latency applications, and integrate frontend and backend systems while ensuring quality through testing and best practices.

Develop cloud-based Python Django FinTech applications, design RESTful APIs, collaborate with frontend developers, and work in an agile team.

The Python Automation Engineer is responsible for QA automation utilizing Python, focusing on functional and UI testing, and collaborating in Agile environments.

Develop high-quality engineering solutions for Merch Tech tools, build workflows and APIs for merchants, and ensure fast iteration and ownership.