Top Python Developer Jobs in Delhi

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

Design and implement customer-facing technical solutions across pre- and post-sale phases, perform business/process analyses, define requirements, produce detailed designs, validate through testing, estimate effort, and build architecture best practices to accelerate customer value.

Provide geospatial technical solutions for environmental and sustainability projects: design and maintain large GIS projects, produce maps and analyses in ArcGIS, manage geodatabases, deploy field data collection (Survey123, Field Maps, Trimble), validate and transform CAD/KML/PDF data, automate workflows with Python and ModelBuilder, and support multidisciplinary consulting teams.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Develop and maintain consumer-facing web and mobile platforms (My Astro and company site), build features, work with databases, help create CI/CD pipelines, write automated tests, contribute to AI-driven projects like a centralized knowledge base, and follow AWS cost-aware practices while collaborating across teams.

Provide geospatial technical solutions for environmental and sustainability projects: design and manage large GIS projects, process and validate spatial data, produce maps and visualizations, deploy field data collection (Survey123, Field Maps, Trimble), develop geoprocessing scripts (Python, ModelBuilder), maintain geodatabases, and support automation and GeoAI enhancements.

Lead design and buildout of a greenfield colocation data center and on-prem Kubernetes platform. Responsibilities include rack and network design, OOB management, bare-metal automation, production-grade self-hosted Kubernetes operations, hybrid-cloud interconnect, cluster lifecycle management, runbooks/SOPs, on-call support, and enabling GPU/VM workloads.

Lead a global support and managed services team for an AI-powered materials science SaaS: own SLAs, triage escalations, drive incident resolution with Engineering, build reporting, coach and hire staff, and personally handle select high-priority technical tickets.

Design and lead enterprise-scale Agentic and Generative AI architectures, multi-agent systems, and knowledge-driven retrieval solutions. Define governance, observability, LLM selection, and production best practices. Lead PoCs to production, mentor teams, and advise stakeholders on AI strategy and transformation.

Assess business opportunities and promote data science adoption. Build, test, and operationalize ML and GenAI solutions; design ML/LLM pipelines (RAG, prompt engineering). Develop scalable cloud functions and microservices, integrate APIs with ApigeeX, monitor performance, and collaborate with stakeholders to drive solution adoption.

Design, build, and maintain scalable network test automation frameworks and automated test suites; integrate tests into CI/CD; apply AI/ML for test generation, anomaly detection, and analytics; analyze test/network data; collaborate with development and QA; contribute to test strategy and documentation.

Create high-quality customer-focused technical documentation for complex broadband and fixed network products. Manage documentation schedules, coordinate teams, gather technical information from R&D/PLM/Test, author web-based content using XML/AsciiDoc/Markdown and tools like Arbortext/Oxygen, and integrate workflows with Agile and DevOps practices.

Design, build, and optimize CI/CD pipelines (GitHub Actions, Jenkins); implement secure build chains (dependency scanning, SBOMs, artifact signing); apply DevSecOps practices and automated testing; use IaC (Terraform/CloudFormation/Ansible), containers (Docker) and Kubernetes; script in Python/Bash/PowerShell; troubleshoot SDLC platform issues and provide on-call support.

Design, develop, test and deploy back-end microservices and APIs in a cloud environment. Work with telemetry and large datasets, apply ML/AI algorithms, support CI/CD, automated testing, code review, documentation, and collaborate with product and distributed teams.

Design, implement, and maintain CIAM and access management solutions (authentication, authorization, RBAC, provisioning). Integrate CIAM with applications, enforce access policies, audit controls, troubleshoot systems, and mentor junior engineers while ensuring security best practices, compliance, and clear documentation.

Design, build, and deploy AI agents and machine learning models; integrate ML/NLP into full-stack applications; develop APIs and data pipelines; deploy and manage services on AWS; collaborate with frontend/backend teams and maintain CI/CD, databases, and production monitoring.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

Develop and optimize AI models for efficient inference on custom silicon. Build fine-tuning pipelines, implement acceleration techniques (quantization, sparsity, distillation), create benchmarking and profiling tools, and collaborate with hardware, compiler, and quantization teams to translate algorithmic improvements into real hardware gains.

Lead onsite NPI and board bring-up at JDM partner facilities across Asia. Develop C/C++ diagnostic firmware, integrate and maintain automated factory test fixtures, and debug system-level manufacturing defects using scopes, logic analyzers, and custom tooling. Act as the technical liaison between US R&D and local manufacturing teams to transition prototypes through EVT/DVT/PVT to mass production.

Design, build, and evaluate classical and Bayesian ML models; perform EDA, feature engineering, and data wrangling using Python and SQL; collaborate with engineers to source and validate pipelines; track and communicate model performance; recommend retraining strategies; and produce well-documented, production-ready code and notebooks.

Design and build scalable backend systems and AI-powered solutions (LLMs, RAG, retrieval, agents). Own projects end-to-end, optimize performance, drive AI engineering standards, mentor engineers, and integrate AI with enterprise systems.

Lead and execute end-to-end embedded firmware development for devices—from requirements through production and post-production support. Design, implement, test, debug, and optimize system software and I/O, interface with hardware, validate new product designs, assess third-party/open-source software, support QA, perform research and prototypes, and mentor junior teammates.