Top Python Developer Jobs in Delhi

Design, provision, and maintain secure, scalable AWS infrastructure (EKS/ECS). Build and optimize CI/CD pipelines with GitLab CI and Azure DevOps. Use Terraform and Ansible for IaC and configuration. Develop automation and tooling in Python/Java/Golang. Monitor platform reliability, troubleshoot issues, and collaborate with .NET teams to streamline the development lifecycle and implement DevOps best practices.

Contribute to research, prototyping, and building computer vision and generative AI models. Develop and evaluate deep learning architectures, handle data preprocessing and augmentation, build reproducible training/inference pipelines with PyTorch or TensorFlow, run experiments, conduct literature reviews, and collaborate with cross-functional teams. Participate in code reviews and knowledge sharing.

Develop and deploy production-grade computer-vision and vision-language pipelines to extract structured data from mobile-captured HMIS forms. Research and fine-tune VLMs and OCR/HTR models, optimize inference (batching, KV cache, quantization), design scalable cloud and on-prem GPU infrastructure, and enable multilingual, low-cost, edge-capable solutions for high-volume form processing.

Lead and manage cross-functional engineering teams to design, modernize, and operate ALLDATA's global data platform on GCP. Drive cloud-native migrations, enforce engineering best practices (CI/CD, containerization, automated testing), ensure security and compliance, collaborate with architects/product/security, and deliver reliable, scalable, multi-region SaaS solutions while mentoring engineers and owning delivery commitments.

The role involves developing and maintaining Python applications, optimizing data pipelines, integrating APIs, and ensuring code performance. Collaboration with teams and knowledge of relational databases and data visualization tools are key responsibilities.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

Support economic consulting engagements by cleaning, validating, and preparing large datasets; write SAS, Python, and SQL programs to automate workflows; perform statistical and econometric analyses; produce tables, charts, and reports; document methodologies; collaborate with international teams and senior staff to ensure high-quality analytical outputs.

Lead architecture and delivery of Salesforce Data Cloud solutions: design data models and ingestion pipelines, integrate with Marketing Cloud and MarTech, ensure identity resolution, privacy compliance, and performance, mentor engineers, and support audience segmentation and journey orchestration.

Design, build, and deploy AI applications on Azure using Azure AI Services and OpenAI. Collaborate with teams for scalable solutions and implement CI/CD pipelines.

Lead design and delivery of Salesforce Data Cloud CDP solutions: architect data models and ingestion pipelines, integrate with Marketing Cloud (MCP) and MarTech, ensure data quality, privacy compliance, performance, mentor engineers, and support audience segmentation and journey orchestration.

Lead AI-focused product discovery and execution: define strategy, roadmaps, MVPs, and requirements; collaborate with engineering on full-stack and AI solutions; manage clients and stakeholders; monitor delivery, performance, and adoption; mentor junior team members and drive cross-functional alignment.

Use data and advanced analytics to solve complex business problems, design and deploy scalable ML/data products on cloud platforms, collaborate with clients and cross-functional teams, and communicate actionable insights.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

The role involves designing and managing integrations for Amazon Connect, building scalable APIs, and collaborating with teams for seamless functionality.

Build and maintain responsive front-end interfaces and scalable back-end APIs, integrate LLMs and third-party services, design databases, deploy containerized services to cloud, implement CI/CD and monitoring, follow security and data-protection practices, and rapidly prototype features in short iterations.

The Senior Staff Software Engineer will lead the architecture of the agentic platform, define shared service designs, partner with teams for reusable capabilities, provide technical leadership, and implement cost-management and evaluation pipelines.

As a Staff Software Engineer, you will develop backend services for the agentic platform, integrating AI capabilities and ensuring system reliability, security, and developer usability.

The Senior DevOps Engineer will design and maintain CI/CD pipelines, manage AWS infrastructure, and ensure system performance and security while collaborating with the engineering team.

The Senior DevOps Engineer will automate, optimize cloud infrastructure, manage CI/CD pipelines, and ensure operational efficiency by collaborating with the engineering team.

The Senior Data Engineer is responsible for developing Python applications, optimizing data pipelines, integrating APIs, and collaborating with teams to deliver data solutions.

The Consultant will provide valuation advisory services for alternative investments, develop financial models, perform analysis, and assist client engagements to gather data while maintaining relationships within the alternative asset community.

The Solutions Architect will design, optimize, and deliver technology solutions, focusing on cloud technologies and collaborating with stakeholders to align strategies with business goals.

The Infrastructure Design Lead is responsible for leading a cross-functional team, mentoring the DevOps team, driving improvements, and designing hybrid infrastructure solutions that align with architectural standards, emphasizing security and service reliability.

Build and maintain scalable Azure and Databricks ETL/ELT pipelines using SQL and Python/PySpark. Design cloud-native data lakes, ingest/process data with ADF/ADLS, optimize data models, monitor pipeline health, troubleshoot failures, and collaborate with architects, QA, DevOps, and business teams.

Lead design and development of scalable cloud data platforms and ETL/ELT pipelines across AWS/Azure/GCP. Build and optimize data warehouses/lakehouses, implement MDM and governance, support analytics/BI, mentor junior engineers, and contribute to presales PoCs and solution designs.