Top Python Developer Jobs in Delhi

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.

Design and build data services and pipelines supporting machine learning products. Develop automation tools for model deployment, maintain production data systems, improve infrastructure, participate in code reviews, and collaborate across engineering, data science, and product teams. The role requires expertise in distributed systems, large-scale data processing, CI/CD, container orchestration, and AI-enabled workflow improvements.

Develops and maintains ETL/ELT pipelines, legacy SSIS and SSAS solutions, reporting platforms, and relational and dimensional data models. Tunes SQL, data pipelines, semantic layers, and reporting workloads for performance and reliability. Supports Snowflake and cloud-native data platforms, documents data lineage and procedures, responds to ServiceNow incidents, and follows HIPAA, ITIL, governance, and change-control standards. Collaborates across technical and analytics teams while supporting healthcare data systems and modernization initiatives.

Lead the architecture, automation, operation, and scaling of database platforms across AWS and on-premises environments. Build infrastructure-as-code, self-service tooling, schema migration workflows, compliance controls, and reference implementations. Establish technical standards, mentor engineers, collaborate across software, data, and SRE teams, support audits, and participate in a 24/7 on-call rotation.

Deploy and implement Tufin network security solutions for customers across planning, design, installation, configuration, testing, integrations, documentation, training, and adoption. The role designs customizations using Python, APIs, GraphQL, and SQL; provides technical consulting, health checks, best-practice guidance, and customer support; and collaborates with account and project teams. Strong networking, firewall, cloud, Linux administration, communication, presentation, and customer-facing skills are required, with willingness to travel.

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 deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.

Monitor security alerts, detect and analyze threats, respond to security incidents, assess their scope and impact, and investigate phishing incidents. The role requires experience with SOC operations, SIEM, EDR, IDS/IPS, firewalls, antivirus tools, networks, operating systems, and endpoint fundamentals. Preferred qualifications include AI-assisted threat detection, security scripting, and certifications such as Security+, CISSP, or CISM.

Supports finance and risk regulatory change initiatives as a business analyst. Responsibilities include documenting requirements, analyzing complex regulatory data models and high-volume datasets, designing functional solutions, identifying risks and trade-offs, supporting stakeholder decisions, and providing subject matter expertise. The role also involves working with Basel III/IV, PRA/COREP reporting, HSBC credit-risk data, SQL, Excel, Python, and Google Cloud Platform in complex global programs.

Designs and reviews security architecture, performs threat modeling and cloud assessments, responds to incidents, manages security tools, and advises engineering teams on secure development. Conducts code and vulnerability reviews using OWASP and MITRE ATLAS, evaluates AI and LLM security risks, and supports security monitoring, risk assessment, data protection, and compliance across applications, infrastructure, and endpoints.

Build and operate production software and AI systems across cloud infrastructure. Responsibilities include developing APIs and services, operating RAG and inference platforms, implementing CI/CD and observability, managing AWS or GCP environments with Kubernetes and Terraform, optimizing model serving and GPU usage, controlling cloud and AI costs, and partnering with stakeholders on reliability, security, governance, and technical tradeoffs.

Research Scientist responsible for advancing agentic AI, multimodal reasoning, post-training, calibration, uncertainty estimation, self-verification, evaluations, benchmarks, and synthetic data methods. The role requires translating original research into production improvements in reliability, approval rates, turnaround time, and cost. Responsibilities include designing experiments, collaborating with research engineers, analyzing results, and potentially publishing findings.

Build and productionize AI systems for visa processing, including LLM agents, document intelligence pipelines, evaluation frameworks, model experiments, data pipelines, inference infrastructure, monitoring, and human-in-the-loop safeguards. The role requires taking research concepts from experimentation through reliable, scalable production systems while improving accuracy, latency, cost, and application outcomes.

Architects and manages GCP infrastructure while leading AWS-to-GCP migrations. Responsibilities include Terraform provisioning, GKE and containerized workload deployment, Azure DevOps CI/CD automation, cloud security and compliance integration, production cutovers, rollback planning, monitoring, reliability, cost optimization, and cross-cloud data migration. The role also automates operational tasks with scripting languages and uses AI coding assistants for implementation, troubleshooting, and documentation.

Leads the design, development, optimization, and support of scalable data engineering and database marketing solutions. Builds ETL/ELT pipelines using Azure Data Factory and Databricks, creates technical designs, resolves production issues, conducts code reviews, and manages delivery across small teams. Collaborates with clients and internal stakeholders, documents architecture, applies performance optimization, and oversees workflow orchestration, data warehousing, streaming, and integration solutions.

Lead the design, development, optimization, and support of scalable data engineering and database marketing solutions. Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and related technologies; create technical designs; troubleshoot production issues; conduct code reviews; and ensure performance, quality, and documentation standards. Collaborate with clients and internal stakeholders, manage small project teams, contribute to architecture decisions, and mentor team members.

Develop and maintain Power BI dashboards, reports, data models, measures, and DAX calculations. Extract and analyze data using SQL, validate report accuracy, troubleshoot data issues, and translate stakeholder requirements into actionable visualizations and insights. The role also involves documenting dashboard logic and data sources while collaborating with business stakeholders.

Develop and maintain Power BI dashboards and reporting solutions, write and optimize SQL queries, build data models and DAX calculations, validate data quality, and translate business requirements into actionable insights. The role involves stakeholder collaboration, troubleshooting reporting issues, documenting dashboard logic and data sources, and ensuring accurate, consistent reporting.

Build and operate Python backend services and APIs supporting visa applications, payments, document processing, order tracking, and AI workflows. Design resilient integrations with government portals, embassies, payment providers, and partners. Develop scalable data models, queues, caching, and asynchronous systems while owning deployment, monitoring, alerting, testing, security, and incident follow-up.

Own and operationalize NPV and unit economics frameworks across lending products. Audit models, measure expected versus actual portfolio performance, evaluate experiments, and quantify the economic impact of risk, pricing, credit policies, and growth decisions. Partner with Risk, Data Science, Product, and Growth teams to embed NPV into decision-making, influence senior leadership, standardize assumptions, and identify value creation or destruction across products and cohorts.

Design, build, and optimize scalable data pipelines and event-driven architectures on GCP. Develop Python applications, integrate external APIs, manage BigQuery and cloud storage solutions, and automate deployments with Cloud Build. Ensure pipeline performance, scalability, cost efficiency, data quality, governance, lineage, and security while collaborating with cross-functional teams and documenting technical solutions.

Design, build, and optimize scalable ETL/ELT pipelines and event-driven data architectures on GCP. Develop Python applications, integrate external APIs, deploy cloud services, automate CI/CD with Cloud Build, and manage data quality, governance, lineage, security, performance, and cost efficiency. Collaborate with cross-functional teams to deliver scalable data solutions and maintain technical documentation.

Develop, implement, and deploy scalable machine learning models for healthcare solutions. Collaborate cross-functionally to integrate models, analyze data to improve performance, ensure data quality, and stay current with ML advancements to support patient care and operational efficiency.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Designs and tests IP network implementations while providing expert technical support, operational guidance, real-time network analysis, and solution testing. Performs manual testing of Cisco routing and switching technologies, particularly Cisco IOS-XR platforms. Uses networking protocols and services including IP/MPLS, OSPF, IS-IS, BGP, Segment Routing, VPNs, and QoS. Automation, traffic-generation tools, troubleshooting, communication, and networking certification are important parts of the role.