Top Python Developer Jobs in Delhi

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

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.

Build and operate production ML models for entity resolution, deduplication, and telemetry pattern recognition. Deploy, monitor, and maintain models in streaming pipelines, work with graph databases, reason about networking telemetry, and collaborate with security and observability teams to improve detection, alert quality, and model reliability.

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.

Lead QA for mobile/web products, define test strategies, conduct manual/automated testing, mentor colleagues, and ensure software quality.

Lead architecture and implementation of backend services for biometrics and ML model serving. Design scalable, reliable production systems, collaborate with platform and product teams, mentor engineers, operate services on AWS (ECS/Fargate, EC2, SageMaker), support real-time and batch inference, and contribute to CI/CD, observability, and deployment automation.

The DevOps Engineer will manage and enhance deployment, automation, and monitoring of production applications, while collaborating on infrastructure and security challenges.

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

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.

Design, build, and maintain centralized data pipelines, warehouses, lakes and hubs. Assemble complex datasets, implement ETL processes, build analytics tools and reports, support cross-functional teams, ensure secure cross-region data separation, and create product data tools to enable insights on acquisition and operational metrics.

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

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

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.

Design, develop, and maintain Oracle EBS R12 customizations, interfaces, and integrations; partner with functional leads to translate requirements; perform tuning and troubleshooting; own end-to-end delivery in Agile teams; conduct code reviews and mentor juniors; use AI tools to accelerate SQL/PLSQL and testing.

Own and document accounting and finance reporting queries and logic across markets; support external audits; reconcile loan-level and cash rollforwards; migrate reports to version-controlled Presentation Layer/dbt; ensure audit-ready traceability and fast regulatory reporting.

Lead full‑stack development and technical leadership for CFRA's next‑generation customer‑facing web applications. Mentor the team, design scalable React/TypeScript frontends and Python backends on AWS, collaborate with product stakeholders, follow Agile practices, resolve production issues, and drive continuous improvement.

Lead end-to-end DBaaS operations in public cloud: install, patch, tune, and manage Oracle RAC/Data Guard/Exadata/Autonomous DB; execute backups and RMAN recovery; drive migrations, automation (Shell/Python/Terraform), incident response (P1/P2), RCA, security/compliance, and collaborate with architects, DevOps, and cloud teams to improve reliability and scalability.

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.

The Software Development Engineer I will design and implement microservices, improve system performance, and mentor junior engineers. Responsibilities include coding, debugging, and developing features from design to deployment in a remote setting.

Lead mobile QA across iOS and Android: define test plans, run functional/exploratory/regression/UI/UX and E2E API tests on real devices and emulators, build and maintain UI+API automation integrated with CI/CD, support store releases and crash monitoring, collaborate with product and engineering, and track QA metrics.

Manage and support AKS-based enterprise data platform infrastructure, administer Apache NiFi, Azure Event Hub and Functions, implement CI/CD with Azure DevOps, automate infrastructure with Terraform/Bicep/ARM, monitor with Azure Monitor and Log Analytics, troubleshoot production incidents, ensure security, capacity planning, and collaborate with data engineering teams.