Top Python Developer Jobs in Delhi

The Senior Software Engineer will design, develop, test, and maintain software applications, focusing on software architecture, scalability, and working with data in biotech applications.

The Backend Software Engineer will enhance Bloomreach's search infrastructure, develop performance metrics, and utilize machine learning for anomalies detection and relevance improvements.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

As a DevOps Lead Engineer, you'll lead the DevOps strategy for mobile applications, overseeing delivery pipelines, automation, and team growth while ensuring security and compliance standards.

The Principal Engineer, Machine Learning will design AI/ML solutions, lead technical strategies, ensure best practices, and collaborate on customer projects.

The Associate Principal Engineer will design and implement machine learning solutions, ensuring alignment with business needs while leveraging advanced AI technologies. Responsibilities include architecture design, stakeholder collaboration, and development best practices.

The role involves designing and implementing AI/ML solutions with a focus on NLP and machine vision, managing architecture, and leading technical discussions with clients.

The Principal Engineer, Data Science role involves leading projects in predictive modeling, optimization, and data solutions deployment. Responsibilities include translating client use cases into technical designs, guiding project architecture, and collaborating with cross-functional teams.

This role involves overseeing data science projects, leveraging predictive modeling and machine learning to develop client solutions, and collaborating with teams on technical designs.

The Principal Engineer, Data Science will lead data science projects, focusing on predictive modeling, optimization, and cloud solutions while collaborating with cross-functional teams.

The Associate Principal Engineer in Machine Learning will design AI solutions, oversee implementation, and ensure alignment with client requirements while leveraging advanced machine learning and NLP techniques.

The Senior QA Automation Engineer will design and execute test strategies, automate test cases, report defects, and ensure comprehensive test coverage in an Agile environment.

Entry-level role for 2026/2027 graduates to join Web Development or QA teams. Contribute to frontend/backend/QA automation, write well-tested code, collaborate with Product and Design, participate in Agile ceremonies, and strengthen fundamentals with mentorship and hands-on training. Training in New Delhi followed by remote work.

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

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

Lead projects on Generative AI systems, design solutions, mentor teams, build applications, and optimize AI-driven developments in data science and engineering.

The Senior Engineer, IT Cloud will develop and implement cloud solutions, focusing on scalability and efficiency for New Product Development and other business needs.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

The Platform Engineer will design, build, and maintain scalable infrastructure for applications, collaborating with developers to optimize performance and ensure reliability.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

As a Forward Deployed Engineer, you'll collaboratively deliver innovative solutions, working closely with clients to tackle complex projects and drive real impact using ElevenLabs’ technologies.

The Senior Staff Engineer will architect and implement scalable Generative AI solutions, collaborate across teams, and ensure reliable production deployments. Responsibilities include technical design, development of AI pipelines, and refining solutions based on client requirements.

The AI/ML Engineer III translates business goals into ML metrics, leads ML model development, and oversees deployment and monitoring of AI solutions, driving innovation and collaboration across teams.

Lead design and architecture for accounting and API services, deliver enterprise-grade, secure, and scalable systems, mentor and manage junior developers, own production monitoring and incident resolution, and collaborate with product, UX, and QA to meet timelines and quality standards.