Top Python Developer Jobs in Delhi

The R&D Specialist will develop and configure Drupal solutions, automate deployment, and integrate with enterprise systems while ensuring scalability and optimal performance.

Lead statistical strategy and delivery for Phase I-IV clinical trials embedded with a pharmaceutical sponsor. Design analyses, support protocol and reporting activities, oversee programming/CRO work, apply SAS/R (R Shiny)/Python and ML/DL methods for analyses and automation, and mentor junior statisticians.

As a Technical Customer Support Specialist, you'll support enterprise customers with our API and ElevenAgents platform, diagnosing issues, communicating solutions, and providing ongoing technical assistance in English and Mandarin.

Architect and lead development of scalable GenAI application layers: design microservices for LLM requests and streaming (SSE), manage context, integrate React/Next.js frontends with Python/FastAPI backends, oversee cloud deployments (AWS/Azure/GCP), API gateways, and CI/CD for AI components.

Lead presales solution architecture for data and AI platforms: design client demos/PoCs, architect scalable distributed and event-driven systems, enforce observability/security/compliance, collaborate cross-functionally, evaluate vendors, create technical artifacts, and mentor presales engineers.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

Design and build server-side systems, automation tools, and data pipelines for GEO initiatives. Implement backend modules, Python-based data processing and SQL-driven workflows, integrate APIs, optimize performance and reliability, collaborate cross-functionally, and explore LLMs and automation to improve system intelligence and localization.

Support and optimize large-scale Spark/YARN jobs and storage (S3/EMR). Build job-profiling, cost-analysis, AI-assisted automation, monitoring/alerting (Prometheus, Flink/Spark), and internal ops tooling to improve stability and reduce costs.

Lead global SaaS and cloud workplace operations, managing Microsoft 365 and Google Workspace, IAM (SSO, Entra, MFA), Zero Trust enforcement, automation (Power Automate, Zapier, PowerShell, Python), onboarding/offboarding, security/compliance collaboration, and mentoring IT teams to ensure secure, scalable, and efficient cloud environments.

Lead ML architecture and solution design for NLP, computer vision, and generative AI projects. Define technical designs, review implementations, run POCs, guide developers, and ensure scalable, secure, and ethical deployments using cloud, MLOps, and model deployment pipelines.

Lead architecture and delivery of AI-powered user-facing applications using Python and React. Design scalable backend platforms for LLM inference, RAG pipelines, and agent orchestration. Define frontend UX for conversational interfaces, establish GenAI best practices, build reusable platform components, ensure enterprise readiness (security, privacy, governance), and mentor engineering teams.

Lead design and delivery of ML solutions across NLP, vision, and generative AI. Convert business needs into architecture and designs, guide developers, run POCs, ensure scalability, security, MLOps, and responsible AI best practices, and build/deploy AI agents and LLM-based systems.

As a Senior Backend Engineer, you will design and maintain scalable backend services and APIs, drive architecture decisions, collaborate across teams, and mentor others while ensuring code quality and system health.

Own architecture and long-term direction of the classification and discovery layer: correlate telemetry into graph topologies, perform entity resolution and deduplication, associate metrics/logs to entities, and drive a streaming-first topology materialization with Memgraph and Kafka.

Develop and optimize Panda3D-based 3D simulations and interactive environments for AI training. Build and maintain Python and C++ codebases, collaborate with engineering and AI teams, manage code in GitHub, perform debugging, code reviews, documentation, and ensure performance and cross-platform compatibility.

Implement, test, and deliver assigned features within sprints; write clean, well-documented code; participate in code reviews; collaborate with seniors, QA, and product; learn new tools and contribute to improving codebase and processes.

Deliver end-to-end features for microservices-based systems, focusing on reliability, performance, testing, and production troubleshooting. Collaborate with product, QA, and DevOps, mentor junior engineers, adopt AI-assisted development, and improve system stability and delivery practices.

Lead architecture and delivery of scalable, secure web applications; drive AI-first engineering and LLM integrations; write full-stack production code; mentor engineers; promote best practices in microservices, cloud-native, CI/CD, observability, and security.

The Data Manager oversees the environmental data lifecycle, ensuring data integrity from collection to reporting, while managing compliance and quality assurance for environmental standards.

Design, develop, and deploy conversational AI chatbots and voice bots using Dialogflow CX and related Google CCAI technologies. Implement LLM playbooks, NLP/NLU, TTS/STT, backend integrations, APIs and databases, troubleshoot distributed systems, and collaborate with cross-functional teams to deliver scalable cloud-native conversational experiences.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

As a Helix Administrator, you will manage and optimize Helix environments, oversee code repositories, implement CI/CD best practices, and provide user support.

The Aveva PI Software Engineer designs and maintains Aveva PI systems, collaborates with teams for data integration, monitors performance, and creates analytical dashboards.

Design and implement Helix integration and automation solutions, enhance productivity through workflows, and troubleshoot integration issues while collaborating with clients.

Lead and support quantitative analysis and client engagements on North American natural gas markets. Oversee and enhance the North American Gas Market Model, produce high-quality reports and presentations, manage India-based analyst teams, and provide strategic insights on forecasting, valuation, policy impacts, and infrastructure planning.