Top Python Developer Jobs in Delhi

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.

Design, build, and maintain automated and exploratory tests for web and mobile apps. Create test plans, UI/API automation, compatibility and performance testing, perform root-cause analysis, improve test coverage, and develop testing tools and infrastructure to ensure product stability and user-focused quality.

As an Agentic Systems Engineer, you will build modular agents, enhance memory systems, integrate tools, ensure quality, and analyze production performance.

Lead system architecture for secure, cloud-native Product Security applications. Translate stakeholder needs into requirements, AI-assisted designs, user stories, diagrams, and PoC code scaffolds. Ensure scalable, secure architectures on Azure using Python/Django/PostgreSQL and modern frontends. Provide technical leadership, governance, and mentoring to engineering teams while integrating AI into design and development workflows.

Own end-to-end UI/UX and frontend implementation: design user flows, craft high-fidelity prototypes, build responsive React+TypeScript interfaces, implement scalable component architecture, integrate with REST/GraphQL APIs, optimize performance, and collaborate with backend and product teams in a regulated life-sciences context.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Build, deploy, and maintain ML and optimization models for a quick-commerce marketplace (matching, pricing, recommendations, ETA). Design experiments and causal analyses, engineer features from messy geospatial and conversational data, own production ML pipelines, monitor model health, and collaborate cross-functionally to deliver reliable, incremental improvements.

Build and maintain scalable batch and real-time data pipelines using Kafka, Maxwell, Spark and dbt; design medallion-based data models; implement cloud-native data platforms (S3, Trino, BigQuery); optimize performance, ensure data quality, observability, and SLA adherence; enable analytics through trusted datasets and Metabase dashboards.

Lead a team of cloud engineers to design, implement, secure, and optimize cloud-native landing zones on Azure and GCP. Own IaC (Terraform/Ansible), container orchestration (Kubernetes/Docker), CI/CD, monitoring, cost and security optimization, cross-functional integration, documentation, and mentoring.

Customer-facing senior engineer who architects and delivers production-ready big data and AI solutions on Databricks across cloud platforms. Advises customers, builds reusable automation, designs reference architectures, supports migrations, and partners with engineering and support to drive product improvements and adoption.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Build and scale backend services and orchestration for AI agents managing procure-to-pay workflows. Implement APIs, integrations with ERPs and payment systems, observability, auditability, secure data pipelines, and testing/eval frameworks to ensure reliable, compliant AI-driven operations at enterprise scale.

As a Data Scientist, assess business opportunities and promote data science use, developing and operationalizing analytics solutions with internal and external partners.

As a Lead Data Engineer, you will design and manage data pipelines, develop ETL processes, and ensure data quality. Mentorship of junior engineers is also part of the role.

Design and build core platform components for Lyric's supply chain automation, focusing on Kubernetes operators, IaC systems, and ensuring reliable, scalable infrastructure.

The Senior GenAI Engineer will develop and deploy Generative AI applications using Python and Azure, lead projects, mentor juniors, and stay innovative in AI trends.

Build and own production-grade features and APIs for Blink's pharmacy products. Diagnose and fix performance/production issues, write tests, perform code reviews, develop React components, and design, build, and deploy AI/ML solutions for personalization, triage, fraud detection, and automation. Mentor engineers, champion responsible AI adoption, and collaborate cross-functionally to deliver high-quality customer experiences.

Design, deploy, and maintain GPU-accelerated enterprise infrastructure (NVIDIA DGX/HGX, Nutanix). Administer VMware and Kubernetes clusters across distributions, automate tasks with scripting/Ansible, monitor performance, and collaborate with DevOps and data science teams to ensure scalable, highly available AI/ML systems.

Perform technical security assessments, embed security into development pipelines, run vulnerability scanning and penetration tests, develop incident response plans and playbooks, lead incident response, monitor alerts, and train teams on security practices while collaborating with development and operations.

As a Junior Frontend Engineer at Plane, you will contribute to building user-facing features, optimize UI performance, and work with modern web technologies, all while growing in your engineering capabilities through mentorship and direct collaboration with users.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

The AI Engineer will design and develop applications using LLMs, implement multi-agent workflows, optimize RAG pipelines, and contribute to full-stack development, collaborating with teams across regions.