Top Python Developer Jobs in Delhi

Design, develop, test, and deploy scalable end-to-end web applications. Build responsive front-ends, develop backend APIs and services, design databases, optimize performance and security, collaborate with cross-functional teams, troubleshoot and upgrade systems, participate in code reviews, and maintain clean, maintainable code.

Provide hands-on cloud application support including log analysis, SFTP, SQL/PLSQL debugging, scripting (Shell/Perl/Python), CI/CD automation, observability (Datadog), and work rotating shifts to meet SLAs and ITSM processes.

Design, fine-tune, and deploy generative AI models (LLMs, diffusion, VAEs). Build data pipelines and APIs, integrate AI into production, optimize model performance and latency, and collaborate with cross-functional teams to deliver AI-powered solutions.

Act as liaison between business and technical teams to gather and document requirements, analyze processes and data, create process maps, user stories, and dashboards, support project management and QA, and facilitate stakeholder workshops to drive improvement and automation.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Six-month junior fixed-term role to design and develop LLM-based agents for Web3 scenarios, build token research and summarization agents, assist in trading agent development using market and on-chain data, and experiment with prompt engineering, memory, and multi-agent orchestration and evaluation.

The Senior Emulation Engineer will validate AI accelerator architectures, maintain emulation platforms, develop testbenches, and collaborate on performance optimization and debugging processes.

The Senior Site Reliability Engineer ensures the availability, performance, and security of Drivetrain's SaaS platform, managing multi-cloud infrastructure, optimizing CI/CD pipelines, and driving automation.

Lead design, delivery, and operational support of large-scale cloud-native data platforms (Snowflake, AWS, Azure). Architect solutions, mentor engineers, manage multiple customer accounts, optimize performance, automate operations, and present technical recommendations to executives.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Work with customers and the SF product team to gather requirements and implement end-to-end AI solutions. Normalize, transform, visualize data, build integrations with external APIs, and deliver practical automation and product feedback. Role is customer-facing and requires technical problem-solving and fast execution.

The Technical Manager will lead the integration of generative AI in applications, overseeing development, ensuring compliance, and managing projects while collaborating with stakeholders.

As a Software QA Engineer, you'll ensure the quality of software products through comprehensive testing, collaboration with development teams, and implementing QA best practices in a DevOps environment.

The Software Engineer will design and develop innovative software applications, collaborate with cross-functional teams, ensure software quality, and maintain documentation, while embracing agile practices.

Design, build, and optimize ETL pipelines and data warehouses using SQL, AWS Glue, and S3. Investigate and resolve data issues, develop Python-based solutions and small web apps, and own requirements, design, and end-to-end delivery for change requests.

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.

Lead design and production of face recognition and biometric CV systems. Build, train, optimize models (PyTorch/TensorFlow/JAX), own end-to-end ML pipelines (Airflow), ensure fairness, deploy low-latency inference on AWS, and mentor engineers.

Build and maintain automated publishing systems that deploy SEO-optimized content across WordPress, Webflow, Shopify, and custom CMSs using Claude Code. Develop API integration layers, scripting, and QA pipelines to prevent bad content from reaching production. Coordinate with content and fulfillment teams, document systems, run staging tests, and validate AI model changes to ensure automated content performs and publishes reliably.

Design and architect cloud-native data platforms and analytics ecosystems (including lakehouse and data mesh). Lead discovery workshops, translate requirements into scalable secure solutions, advise clients, support presales/RFPs, guide implementation teams, and promote standards, governance, and reusable assets across Data & Analytics and AI projects.

Design, document, and implement data pipelines and transformations (dbt, Airflow) feeding Snowflake warehouses. Ensure data correctness, monitor/triage incidents, optimize SQL performance, apply SCD/CDC/DQ frameworks, collaborate with product owners and stakeholders, and maintain governance, security, and version-controlled code.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

Design and build high-performance, scalable web applications using React, Next.js, and TypeScript. Deliver responsive, pixel-perfect UIs, integrate REST APIs, optimize performance, debug complex issues, maintain testable high-quality code, contribute to architecture, and collaborate with product and design. Work across the stack when needed; backend Python experience is a plus.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

Lead development of iJTAG (IEEE 1687) based test solutions and DFT methodologies (scan, BIST, hierarchical access). Build AI/ML features for pattern compaction, failure prediction, and root-cause analysis. Develop scalable automation frameworks in Python/C++ and streamline workflows using Tcl/Perl/Shell. Create APIs and pipelines for large-scale ingestion of ATE logs and STIL/WGL patterns, and produce data processing and visualization dashboards.