Top Python Developer Jobs in Delhi

Lead end-to-end customer data integration and migration projects using SQL, ETL, and scripting. Act as technical advisor, design tailored solutions, manage 10–15 projects, document requirements, mentor juniors, and collaborate with government stakeholders and cross-functional teams to improve and automate data workflows.

Design, build, and maintain enterprise Atlassian solutions (Jira, JSM, Confluence). Translate business needs into configurations, automations, integrations, and dashboards. Integrate with M365, CI/CD, and other systems via APIs and scripting. Ensure platform stability, governance, documentation, and stakeholder collaboration while advising on platform strategy and continuous improvement.

Design, implement, and manage Azure infrastructure using IaC; build and maintain CI/CD pipelines; administer and secure Linux servers; automate deployments and configuration management; monitor performance and cost; perform security assessments and compliance; provide production support and documentation; collaborate with development, QA, and operations teams.

Design, develop, and deploy ML models and pipelines; preprocess data and engineer features; implement MLOps (Docker, Kubernetes, CI/CD); collaborate with stakeholders to translate business problems into AI solutions; monitor and optimize model performance and maintain documentation and governance.

Develop and optimize LLMs, evaluate model performance, integrate advanced AI technologies, lead cross-functional collaboration, and document methodologies.

Lead design, develop, test, and deploy UiPath RPA solutions; analyze processes for automation, build reusable frameworks, integrate APIs and systems, implement IDP, mentor developers, and manage bot lifecycle and performance.

Design, build, and operate a Kubernetes-based platform for global network infrastructure. Own cluster lifecycle, provisioning, upgrades, GitOps delivery, observability, capacity, and recovery. Develop automation, provide production support and on-call incident response for network services, and drive issues from detection through verified resolution.

Design and build agentic AI solutions and complex agent workflows using Python. Train and deploy models on AWS or other cloud, build prototypes with Streamlit/Gradio, apply MLOps, collaborate in Agile/Scrum with Git and JIRA.

Design, develop, and maintain Power BI dashboards and semantic models using Snowflake as the data warehouse. Build optimized SQL queries, DAX calculations, data models, and reusable datasets; implement RLS and data governance; schedule refreshes, deploy to Power BI Service, monitor and tune report and Snowflake performance, and collaborate with stakeholders to translate requirements.

Build and own the platform's first recommendation features using collaborative filtering, embeddings, similarity search, and ranking. Handle sparse data and cold-starts, evaluate with offline metrics and online experiments, and partner with backend engineering to serve models and set ML practices.

Lead design, operation, and reliability of large-scale AI/HPC clusters. Manage day-to-day operations, incident response, automation, performance tuning, scheduler and storage optimization, and collaborate with researchers and global teams to improve GPU-accelerated infrastructure.

Build an AI-native EHR: design, implement, and ship end-to-end features across frontend, backend, data, and infra. Use LLMs and AI tooling, maintain reliability, refactor code, and iterate with users in a fast-moving startup environment.

As a Lead SDET, you will lead automation efforts, influence quality metrics, improve testing processes, and mentor junior engineers. Responsibilities include designing automation frameworks and enhancing CI/CD pipelines.

Design, train, optimize, and productionize deep learning models for speech/audio and computer vision. Build scalable training pipelines, perform model inference optimization, integrate models into production services, monitor performance, and collaborate with software and product teams to deliver low-latency, reliable ML features.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

The Senior Technical Consultant leads customer implementation projects, designs technical solutions, integrates APIs, and provides technical guidance while managing customer relationships.

The Senior Associate in Salesforce Effectiveness will handle US pharma commercial analytics, deliver HCP targeting outputs, and collaborate with commercial teams using analytics tools.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

The Facilitator will deliver academic support in Data Analytics through live sessions, tutoring, and quality assurance, while collaborating on curriculum enhancements and mentoring others.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.