Top Python Developer Jobs in Delhi

Partner with global and regional marketing leaders to translate business questions into end-to-end analyses. Apply and extend Media Mix Modeling outputs, run scenario and lift analyses, and maintain funnel, pipeline, and geo-lift diagnostics. Write production-quality Python and SQL, build reusable tools and dashboards, and present executive-ready insights. Collaborate with central MMM data scientists and regional analytics partners to ensure model relevance and drive marketing budget, channel, and campaign decisions.

Design, execute, and maintain test plans and cases for web, mobile, and cloud apps. Perform manual and automated testing, API and performance testing, log and track defects, collaborate with engineering and product teams, support releases, and improve QA processes and documentation.

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Build and maintain lab environments and CI/CD pipelines for the Skylar AI platform. Create automated end-to-end tests, simulate user journeys and telemetry, validate integrations and performance, manage versioning and rollback tests, support data generation, and document environments. Partner with product, data science, QA, and engineering to ensure reliable monthly updates and platform availability.

Design, build and deploy AI workflows using Azure AI, Copilot Studio and Microsoft Fabric; integrate solutions with SAP and Salesforce; own end-to-end delivery, DevOps/MLOps/AIOps practices, governance, monitoring, and stakeholder adoption; provide technical leadership and reusable patterns to scale AI adoption across the business.

Build and enhance enterprise data pipelines into Databricks Unity Catalog and Delta Lake. Improve remediation and entity-matching layers (including D&B DataBlocks), integrate APIs, and support LLM-assisted remediation and CMG redesign projects.

Design, create, and execute functional and regression tests for Adyen payment integrations across eCommerce platforms, maintain automation scripts, perform end-to-end and API testing, support UAT, and collaborate with cross-functional teams for high-quality releases.

Lead owner of FairMoney's Android lending portfolio in Nigeria. Responsible for portfolio economics, business planning, credit strategy, affordability, experimentation, decision-engine implementation, forecasting, risk controls, and building a senior team while coordinating cross-functional delivery.

Lead design and management of scalable cloud infrastructure, CI/CD automation, Kubernetes orchestration, IaC with Terraform, observability and incident response, security and disaster recovery, and mentor junior engineers while collaborating with cross-functional teams.

Design, build, test, and maintain automated workflows and integrations across CRM, operations, sales, and support using platforms like Zapier, Make, n8n, or Power Automate. Troubleshoot failures, document processes, collaborate cross-functionally, monitor performance, and support automation initiatives to improve efficiency and scalability.

Design, develop, and deploy ML models and LLM-based applications; implement RAG and vector database pipelines; fine-tune models, optimize inference and scalability; build REST APIs and backend integrations; monitor AI system performance; collaborate cross-functionally and stay current with AI advancements.

Design and develop scalable backend applications, optimize performance, ensure security, mentor junior developers, and maintain DevOps practices.

SigNoz seeks driven ex-founders to help build developer infrastructure products and lead growth initiatives, requiring some development experience with Python or JavaScript.

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

Design, build, and scale backend systems for the Made Card platform, focusing on system design, database optimization, API delivery, and performance reliability while mentoring junior engineers.

Design and implement DevSecOps practices, CI/CD pipelines, and security automation strategies while contributing to R&D processes and infrastructure improvements.

Research Engineers will build QA systems for training data, define quality standards, audit datasets, and collaborate with data vendors to enhance data generation processes.

Lead product strategy, roadmap, and market launch for agentic AI solutions. Collaborate cross-functionally to define requirements, validate features, integrate with ServiceNow, drive POCs and production rollouts, and measure ROI and IP/services revenue.

The role involves developing and maintaining analytics data warehouse and MDM solutions, ensuring data integrity, and supporting business intelligence efforts.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

The Data Scientist will analyze data, optimize ML systems for pricing, propose ML opportunities, collaborate with teams, and support data-driven decisions.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

Lead architecture and development of customer-facing AI agents and multi-agent "Super Agents," design agent orchestration and automated workflow frameworks, drive LLM integration and prompt engineering best practices, provide technical leadership across cloud-native backend systems, and mentor senior engineers to productionize AI-driven solutions at scale.

Own credit strategy and performance for expansion and partnership portfolios. Monitor KPIs, design approval/pricing/limit policies, lead partnership underwriting, translate data into decisioning improvements, and collaborate with Product and Data Science to implement risk strategies and pilot evaluations.