Top Python Developer Jobs in Delhi

Senior Data & AI consultant responsible for designing, developing, and delivering cloud data and AI solutions on Microsoft platforms. Lead data engineering, platform modernization, ML readiness, MLOps, and Azure-based deployments while collaborating with customers and teams to drive adoption and technical excellence.

Lead verification of complex CPU/SoC IP: plan verification, build constrained-random UVM/SystemVerilog or C/C++ test environments, use SVA/formal tools, debug RTL (Verilog) in simulation/emulation, develop tests and coverage, and close verification gaps to meet tape-out requirements.

Lead architecture and production of complex multi-agent LLM systems. Design evaluation pipelines (Evals), optimize RAG and vector search for scale, manage cost and latency tradeoffs, translate product requirements into agent behaviors, and mentor junior AI engineers.

Design and implement semi-autonomous AI agents and orchestration layers, integrate models with third-party tools, build feedback/learning systems, and maintain LLM pipelines and MLOps for enterprise environments.

Lead the engineering team to design, build and deploy AI-agent driven enterprise solutions. Architect full-stack apps, LLM services, and cloud infrastructure. Hands-on implementation, performance troubleshooting, recruit and mentor engineers, and align technical architecture with business goals.

Leads development of secure automation and platform features for global client platforms. Builds LLM-enabled agentic workflows using tool calling, prompt evaluation, Graph and REST APIs, and Intune/Jamf integrations. Designs scalable systems, implements GitOps and infrastructure-as-code delivery, writes tests, manages secure auditability, monitors performance, and supports operational excellence. The role also includes code reviews, mentoring, and continuous quality improvement.

Lead the design, architecture, and modernization of a global Azure-based cloud platform. Own IaC, CI/CD, observability, reliability, cost optimization (FinOps), and mentor engineers while partnering with product, security, and leadership to ensure scalable, secure, highly available SaaS infrastructure.

Lead development and review of financial and valuation models, drive insights through analytics (Python, Power BI, Alteryx, SQL Server), design automation solutions, engage directly with clients and stakeholders, prepare client-ready demo tools, and manage cross-functional coordination across regions.

Research, prototype, and develop AI/ML models and end-to-end voice agents (STT, TTS, NLU, LLMs). Build and evaluate prototypes, design experiments and benchmarks, analyze failure modes, optimize inference and pipelines for scalability, and collaborate to productionize conversational voice systems.

Leads enterprise security architecture strategy and complex cross-functional initiatives involving Zero Trust, IAM, multi-cloud security, network and application segmentation, AI security, data protection, and cyber resiliency. Advises executives and stakeholders on security roadmaps, supplier risks, M&A due diligence, regulatory matters, and vulnerability remediation. Designs and validates security solutions, promotes automation and innovation, and delivers security transformations across a global organization.

Designs and develops advanced supply chain optimization solutions using mathematical programming, heuristics, meta-heuristics, machine learning, simulation, and cloud technologies. Translates client requirements into scalable technical architectures, optimization models, and applications. Reviews designs, defines non-functional requirements, performs proofs of concept, supports pre-sales and go-to-market activities, and bridges technical decisions with business recommendations.

Leads end-to-end delivery of scalable software features and models, including design, development, testing, debugging, code review, CI/CD, performance monitoring, and maintenance. Integrates AI/ML components, translates business needs into technical requirements, collaborates with stakeholders, mentors engineers, and advances engineering practices. The role uses Java, Python, Kafka, Kubernetes, Airflow, and Salesforce within Walmart’s AdTech platform.

The Senior Data Scientist will engineer Zoom's Revenue Intelligence Engine, developing scalable systems for lead scoring and churn prediction while collaborating with various teams to provide data-driven insights.

Lead the design, development, deployment, and optimization of AI-driven applications, especially RAG-based chatbots and generative AI solutions. Build scalable systems with Python and Java, deploy them on AWS and Azure, and apply machine learning, deep learning, NLP, vector databases, embeddings, and LLM integrations. Collaborate with cross-functional teams, manage technical deliverables, mentor engineers, ensure quality through testing and optimization, and adopt emerging AI technologies.

Lead design and delivery of RAG-based chatbot and AI solutions: architect scalable Python/Java systems, deploy and manage on AWS/Azure, mentor engineers, ensure quality, and research emerging AI methods.

Use AI-assisted tools to generate and refine UI and API test cases, develop and maintain Python automation scripts, integrate AI-generated tests into CI/CD and version control, collaborate with QA leads to improve coverage, and troubleshoot and optimize test reliability and performance.

Creates and executes manual and automated tests for trading applications, develops test plans and automation frameworks, defines acceptance criteria, documents quality processes, and verifies software changes meet business, legal, compliance, and technical requirements. Collaborates with development and support teams while tracking QA capacity, velocity, status, and deliverables. Requires expertise in trade processing, corporate actions, cash flows, financial products, databases, messaging technologies, and software development.

Lead escalation and execution of a Cisco-to-Fortinet/Juniper migration: configure and deploy Fortinet firewalls and Juniper switches/wireless, troubleshoot cutovers, own ServiceNow change controls, document designs and runbooks, and mentor field teams to ensure consistent branch refreshes and operational improvements.

The Domain Architect optimizes PaCo core network performance by assessing KPIs, troubleshooting call flows, and collaborating with cross-domain teams for enhancements.

Build and operate Python microservices and gRPC APIs exposing native C++ engines and compute pipelines. Develop React and TypeScript customer-facing applications, implement end-to-end application logic, and support distributed systems, orchestration, retries, observability, and autoscaling. Debug across frontend, Python, and C++ layers; build automated tests and CI/CD pipelines; participate in on-call operations; document systems; collaborate cross-functionally; and mentor teammates.

As a Machine Learning Engineer, you will build and maintain ML infrastructure, develop credit models and collaborate on data-driven features. The role requires extensive hands-on experience in ML engineering within production environments.

Provide Level 2 technical support for global Managed File Transfer and document delivery systems. Diagnose and resolve incidents, restore steady-state operations, write Java or Python scripts for automation, support onboarding, coordinate cross-functional root cause analysis, and maintain installation, configuration, administration, SLA, quality, and operational compliance procedures.

Develop and maintain full-stack applications using React and TypeScript on the frontend and Python with Flask on the backend. Build and manage RESTful APIs, work with PostgreSQL or MongoDB, and use AWS services and AWS CDK for cloud infrastructure. The role requires handling frontend and backend responsibilities in a remote environment. Supply chain, logistics, manufacturing, and physical-product software experience are bonus qualifications.

Design, implement, and maintain automated test frameworks and high-quality test cases for Cloud Compute applications. Integrate automated tests into CI/CD pipelines, perform REST API and UI testing, work with container and IaC tooling, and collaborate with Agile teams via code reviews and design contributions to ensure platform reliability.

The CAD/Flow Methodology Development leader will define and scale EDA infrastructure, automate design flows, debug issues, and establish metrics for silicon delivery efficiency in cross-functional environments.