Top Python Developer Jobs in Delhi

Design and implement a unified orchestration layer coordinating vendor and internal LLMs and human agents. Build production-grade Python services, drive ML projects from design to delivery, ensure secure, scalable AI-enabled customer experiences, and collaborate across teams to meet security, compliance, and performance standards.

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.

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.

Build and deploy machine learning models on large healthcare datasets, extract actionable insights, develop scalable data processing systems, collaborate with cross-functional teams, and communicate findings to stakeholders to improve patient outcomes.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Conduct applied research on voice-agent evaluation and self-improvement: design audio-native metrics and adversarial datasets, build observability and tracing for cascade failures, mine production traces to generate fine-tuning or prompt fixes, and validate improvements under adversarial replay. Collaborate to ship solutions and publish research.

Manage and validate environmental data in EQuIS, perform data migration and QA/QC, configure EQuIS workflows, develop Power BI dashboards, support project teams and labs, and produce documentation, SOPs, and standardized data management processes.

Design, build, and operate production-grade Kubernetes platforms; define SLOs/SLIs and CI/CD pipelines; implement observability; automate operations; ensure compliance and audit readiness; participate in on-call, incident response, and cross-functional leadership.

Senior business analyst liaison for Financial Crime data delivery: analyze complex data sets, perform data profiling and source-to-target mapping, translate business needs into technical requirements, prioritize backlog, support development and testing (UAT/BVT), investigate incidents and drive resolution.

Entry-level AI trainee embedded in product squads to build and ship AI features. Work includes integrating LLM APIs, building model pipelines, prompt engineering, evaluation, experiments, full-stack feature integration, and writing tested maintainable code while being mentored toward independent AI engineer responsibilities.

Develop Python-based automation and reusable data workflows, build and deploy ML, NLP, OCR and Generative AI solutions, design ETL/ELT pipelines, implement AI assistants and RAG solutions, support cloud analytics on Azure/AWS/Microsoft Fabric, and collaborate with stakeholders using Git/Azure DevOps and Agile.

Manage, validate, migrate, and QA/QC environmental data in EQuIS and related systems; configure workflows, build Power BI dashboards, support reporting, automate processes, and prepare documentation and SOPs to ensure data quality and compliance across global projects.

Manage, validate, QA/QC, migrate, and maintain environmental data in EQuIS and related systems. Configure EQuIS workflows, develop dashboards and reports (Power BI), support project teams and labs, perform data quality reviews, and produce documentation, SOPs, and training to standardize data management and reporting across projects.

Lead environmental data management initiatives across global projects: oversee EQuIS/Locus systems, integrate and QA/QC laboratory and field data, design dashboards and visualizations, perform SQL development and statistical analysis, manage data migrations, coordinate with labs and clients, mentor junior staff, and develop SOPs and automated workflows to ensure compliant, decision-ready environmental data solutions.

Lead solution architecture and technical vision for platform teams, mentor engineering leads, ensure scalable resilient microservice-based web applications, drive CI/CD and code quality, collaborate across product, security, DevOps and architecture, and shepherd solutions through governance to meet business requirements.

Develop and deploy embedded firmware for energy IoT devices, integrate communication protocols (Modbus, CAN, MQTT, BLE), optimize for low power and reliability, build secure OTA pipelines, collaborate with hardware and cloud teams, and contribute to documentation, testing, and regulatory compliance.

Build and maintain real-time dashboards and interfaces; develop RESTful APIs and WebSocket endpoints; integrate and visualize IoT and energy device data; implement modular front-end components and secure, scalable back-end services; collaborate with hardware and grid teams; optimize performance and reliability for low-connectivity environments.

Lead a regional follow-the-sun DevSecOps pod, drive ASPM integrations and AI-enabled secure code scanning, perform secure code reviews and infrastructure architecture guidance, own technical escalations, facilitate cross-timezone shift hand-offs, mentor engineers, and ensure 24/7 delivery velocity and system security in a regulated enterprise environment.

Maintain, optimize, and troubleshoot large-scale datacenter LAN networks on Cisco Nexus platforms. Collaborate with architects and teams to implement changes, improve operations, document designs, and automate repetitive tasks using Terraform, Ansible, and Python. Support security, load balancing, routing, switching, and VPN solutions for a mission-critical SaaS environment.

Design, build, and deploy scalable ML models and pipelines from research to production. Own feature engineering, model tuning, real-time prediction, MLOps automation, monitoring, and lifecycle management to solve visibility, forecasting, and freight audit problems.

The Senior Data Engineer will build data pipelines, implement data governance, automate processes, and enhance data tooling to improve insights across teams.

Lead quality engineering across multiple delivery squads: define and enforce QA standards, build and maintain UI and API automation frameworks, participate in development and CI/CD, perform functional and performance testing, mentor QEs, and drive defect RCA with an SDET mindset.

Design, develop, test, deploy and support software applications; maintain systems, backups, patching and documentation; troubleshoot and resolve application issues; implement CI/CD and monitoring; ensure security, IAM and secrets management and uphold quality and auditability standards.

Build LLM-powered dashboards, RAG pipelines, AI agents, and data pipelines for retail operations. Implement model monitoring, fine-tuning, A/B testing, and ML lifecycle processes. Integrate cloud warehouses, vector DBs, and visualization tools; collaborate with stakeholders to translate retail KPIs into AI-driven operational workflows and deploy solutions for store ops, maintenance, NSO, and CEO escalations.

Lead and operate cloud infrastructure and DevOps/SRE practices for a high-scale SaaS platform. Build CI/CD and IaC, manage Kubernetes and Kafka/MSK, implement observability, security and cost-optimization, mentor engineers, participate in on-call incident response, and support data migration and distributed architecture at scale.