Top Python Developer Jobs in Delhi

The Senior Software Engineer will develop scalable enterprise solutions, mentor team members, clarify requirements, and implement best engineering practices. Expect a hands-on role focused on backend development and data integration for the AlphaSense platform.

The Python/Django Developer will be responsible for web development, writing reusable code, understanding web technologies, and ensuring security and data protection.

The Principal AI Systems Engineer will architect, build, and own AI systems, develop production-grade AI pipelines, and ensure reliability through evaluation and governance.

Develop and maintain DevOps CI/CD pipeline, automate tasks, onboard services, collaborate with teams, participate in Scrum, provide support, and ensure system performance.

You will implement scalable services, write maintainable code, participate in reviews, and improve automation and operational reliability.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The role involves designing and implementing integrations for a platform, collaborating with teams, and developing reusable connectors and packages for third-party systems using web services or custom code.

As a Data Engineer, you will analyze and enrich structured and unstructured data, enhance data quality, and develop insights for financial strategies.

The role involves leading a team of developers, architecting secure microservices, collaborating with stakeholders, and ensuring timely delivery of features in a fast-paced Agile environment.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

As a Data Engineer, you will enhance data pipelines, support ML workflows, and improve cloud infrastructure on Azure and AWS, collaborating with Scientists and Engineers to turn data into actionable insights.

The Technical Product Manager for the QVAC SDK defines and executes the product vision and strategy, manages developer experience, and collaborates with engineering teams to ensure successful delivery of technical products.

As a Sr. Data Engineer, you'll design and build data systems for analysis and machine learning, focusing on data ingestion, pipelines, and visualization. You'll work with cloud-based solutions, optimize data storage, and perform transformations using ETL/ELT processes.

The Senior Technical Product Manager for QVAC SDK will define the product strategy, manage SDK features and developer experience, and collaborate with engineering teams. The role requires hands-on coding, strong technical judgment, and effective communication across various stakeholders.

As a Staff Site Reliability Engineer, you'll architect reliability platforms, lead incident response, mentor engineers, and advocate for SRE best practices to enhance system reliability and performance.

Design, develop, and maintain high-performance Python applications and scalable ETL/data pipelines. Write optimized SQL, integrate APIs and web scraping, use AWS, and produce visualizations with Power BI/Tableau while ensuring code quality and collaborating cross-functionally.

Lead a sizable product engineering team from inception to launch: design, architect, build, test, and release high-quality SaaS features. Partner with product and design, contribute and review code, improve engineering processes, hire and grow global engineering talent, and drive data-driven decisions.

Develop high-quality engineering solutions for Merch Tech tools, build workflows and APIs for merchants, and ensure fast iteration and ownership.

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

The AI/ML Consultant will design and develop AI solutions for sustainability, collaborating with teams to deliver scalable models and proof of concepts while engaging with clients for successful implementation.

The role involves designing and building bespoke financial valuation models, ensuring analytical depth and accuracy, while integrating them into scalable frameworks using advanced modeling techniques.

The role involves building and integrating LLM-powered systems, requiring expertise in Python, agent frameworks, and modern API development.

This role involves building, implementing, and optimizing IFRS9 models, monitoring credit risk, collaborating with various teams, and ensuring compliance with policies.

The QA Engineer will be responsible for planning and executing software testing, writing test cases, bug filing, and maintaining testing documentation.

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.