Top Python Developer Jobs in Delhi

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Develop scalable data pipelines, APIs, and data services for revenue management and financial planning applications. The role involves cloud and open-source technologies, data quality and performance improvements, cross-functional collaboration, code reviews, Agile delivery, and AI-assisted development. Candidates will build ETL or ELT solutions using Python, SQL, relational databases, and modern data platforms, while contributing to platform architecture, engineering standards, testing, and DevOps practices.

Develops analytical models and algorithms to identify business trends and support strategic decisions across supply chain networks. Responsibilities include data sourcing and validation, network modeling, scenario analysis, cost and service assessment, visualization, reporting, and stakeholder collaboration. The role supports projects involving sourcing, manufacturing capacity, distribution network design, inventory, and cost-to-serve, using tools such as Supply Chain Guru, Alteryx, Tableau, and Power BI.

Leads embedded avionics software development and verification for aerospace systems. Responsibilities include defining test architectures, environments, tools, and processes; ensuring DO-178B/C compliance; reviewing PDR/CDR designs; evaluating emerging technologies; using C, C++, Python, MATLAB, debuggers, and simulators; automating verification with generative AI; conducting audits and technical reviews; and guiding engineers while managing cross-functional stakeholders.

Leads embedded aerospace software development and verification activities for avionics programs. Defines test architectures, environments, tools, processes, and methodologies aligned with DO-178B/C. Influences software architecture, reviews designs, evaluates emerging technologies, drives productivity improvements, and manages technical stakeholders. Provides technical leadership, mentors engineers, coordinates cross-functional initiatives, and supports quality, cost, schedule, certification, and risk objectives. Uses C, C++, Python, MATLAB, VectorCAST/Cover, debuggers, simulators, and generative AI tools to improve verification workflows.

Leads cybersecurity data-source onboarding and integration for Zscaler’s security platform. Builds and automates Python/API-based data transformations, maps and normalizes security data, manages pipeline lifecycle activities, troubleshoots data quality, and identifies security gaps. Partners with cybersecurity SMEs and cross-functional teams to create implementation plans, communicate technical findings, and provide product improvement feedback. The role requires expertise in security platforms, diverse security-tool integrations, data modeling, SQL, and Python.

Build and scale machine learning systems for search, including ranking models, feature engineering, model deployment, monitoring, experimentation, and online inference. Design fault-tolerant distributed infrastructure, optimize search latency and throughput, and develop reliable ML services from proof of concept through production. Collaborate across engineering and product teams, communicate technical decisions, review code, document systems, and mentor junior engineers.

Partner with cross-functional teams to design and execute quantitative analyses, experiments, forecasting, and visualizations that influence product and business strategy. Translate data into stories and actionable recommendations, measure impact, and present findings to senior leadership.

Research Intern supporting analysis of agricultural carbon projects and rice-emission reduction methodologies across carbon registries. Responsibilities include desk research, data extraction, project database development, comparative methodology assessment, trend analysis, data visualization, and policy review related to sustainable rice cultivation. The intern will synthesize findings into analytical outputs and support understanding of carbon finance’s role in climate-resilient agriculture.

Build and operate cloud infrastructure, CI/CD pipelines, Kubernetes platforms, and observability for Data and AI teams. Develop infrastructure as code, implement PCI-aware security and compliance controls, lead incident response, and improve reliability. Partner with developers and technical stakeholders on platform tooling, developer self-service, internal standards, and production operations across distributed teams.

Designs, deploys, and manages scalable GCP infrastructure, Kubernetes workloads, serverless applications, and CI/CD pipelines. Uses Terraform, Azure DevOps, Bash, and PowerShell to automate infrastructure and application delivery. Manages GKE, Helm deployments, networking, storage, load balancing, monitoring, cost optimization, and zero-downtime releases. Integrates cloud security, IAM, compliance, and DevSecOps practices.

Build and maintain scalable ETL/ELT pipelines, data ingestion workflows, backend services, APIs, and database systems. Clean, transform, validate, and model structured and unstructured data while implementing quality controls, monitoring, and production reliability. Develop Agentic AI and workflow automation integrations, deploy applications across cloud and on-premises environments, and collaborate with customers and cross-functional teams to deliver AI/ML solutions from proof of concept to production.

Own business data as a trusted source of truth by building metrics, dashboards, reporting systems, and analytical frameworks. Analyze complex datasets with advanced SQL, define KPIs, identify trends and opportunities, and solve ambiguous business problems. Partner with business, marketing, finance, and other teams to translate analysis into clear recommendations and data-driven decisions.

Conduct research on industrial sustainability, green hydrogen, CCUS, and industrial decarbonisation. Build energy systems models and techno-economic analyses, assess emissions and scenarios, prepare reports and policy briefs, support government and stakeholder engagements, present findings, and develop research networks. The role requires quantitative analysis, strong communication, project management, and periodic travel within India.

Lead end-to-end data platform initiatives, designing self-service ingestion and transformation capabilities with governance, security, observability, cost controls, and CI/CD. Build and operate reliable batch and streaming pipelines, manage data correctness and migrations, establish SLOs and quality monitoring, and prepare governed data for AI agents. The role involves reviewing designs and code, documenting golden paths, mentoring through technical feedback, and collaborating across distributed engineering teams.

Develop proofs of concept and production-oriented data science and AI solutions for government and organizational clients. Responsibilities include identifying use cases, preparing and assessing data, statistical modeling, forecasting, machine learning, LLM prototyping, evaluation, documentation, stakeholder communication, and client delivery. The role will establish data science capabilities for ICF’s India team and contribute to proposals, reusable processes, and project implementation.

Supports research on rooftop solar implementation within the energy transitions program. Responsibilities include reviewing policies, regulations, building codes and planning norms; conducting field visits and stakeholder consultations; designing research methodologies; assessing building-design barriers; analyzing qualitative and quantitative data; and synthesizing findings into reports, presentations and actionable recommendations.

Manage project datasets, perform data quality checks, conduct descriptive and inferential analyses, and create static and interactive visualizations. Support field offices with data management, analysis, and visualization; prepare donor and program reports; develop fact sheets and infographics; and mentor staff in analytical and visualization methods. The role also involves working with public health and government health program data and willingness to travel.

Administers and supports Oracle Identity Governance, including provisioning, de-provisioning, workflow troubleshooting, connector maintenance, application onboarding, access certification campaigns, patching, reporting, and audit evidence. Develops integrations using REST, SOAP, SCIM, JDBC, LDAP, flat files, and custom adapters. Coordinates with security, application, and infrastructure teams while maintaining SLAs and regulatory compliance.

Lead the design and development of scalable full-stack applications powered by Generative AI and LLMs. Build RAG pipelines, agentic workflows, and AI applications using React, Node.js, LangChain, and LangGraph. Integrate LLMs with APIs, databases, and enterprise systems while ensuring security, reliability, and production readiness. Provide architecture guidance, conduct code reviews, mentor developers, troubleshoot issues, and lead solutions from design through deployment and support.

Build and operate scalable backend payment features using Java, Kotlin, and Python. Develop APIs, microservices, and event-driven systems supporting charges, refunds, disputes, and webhooks. Refactor legacy services, reduce technical debt, improve test coverage, migrate deprecated APIs, and resolve production incidents. Collaborate in Agile sprints with product managers and engineering teams, document designs and runbooks, participate in reviews, and support handoff to the full-time team.

Execute large-scale data platform migrations to Snowflake, adapting approximately 1,000 datasets and existing pipelines. Build, test, monitor, and troubleshoot reliable Apache Airflow workflows while supporting migrations from Airflow 2 to 3, Confluent regions, and legacy formats to Iceberg. Apply Python, advanced SQL, Spark, PySpark, Kafka, AWS S3, and Snowflake data modeling to ensure data quality, reliability, and timely delivery.

Manage and troubleshoot Linux systems, storage, backup, hardware, applications, and infrastructure in a 24/7 data center environment. Resolve critical incidents and escalations, maintain availability and performance, support L1 teams, execute changes within SLA, and improve operations through automation, documentation, monitoring, and infrastructure optimization. The role also involves containerization, orchestration, virtualization, networking, and cross-functional incident resolution.

Leads complex technical programs involving product integration and AWS-to-GCP cloud migration. Coordinates engineering, testing, data, cloud, and product teams; manages workstreams, dependencies, milestones, risks, validation, data reconciliation, and production cutover. Partners with technical leads on architecture, APIs, databases, and blockers while providing executive reporting and driving delivery across distributed India and North America teams.

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.