Top Python Developer Jobs in Delhi

The Software Engineer III will build SaaS solutions for government agencies, leading feature delivery, collaborating across teams, and mentoring junior engineers.

The Data Analyst will analyze datasets, utilize AI for data exploration, automate reporting, perform web scraping, create visualizations, and collaborate with teams to provide insights for content studies.

Develop and deploy scalable GenAI applications, optimize LLMs, and collaborate with teams while mentoring junior developers.

The AI Prompt Engineer II will design, build, and optimize prompting systems for large language models, develop evaluation frameworks, and improve user interactions while collaborating across teams to enhance AI-driven workflows.

The Senior GenAI Engineer will develop and deploy Generative AI applications using Python and Azure, lead projects, mentor juniors, and stay innovative in AI trends.

The Customer Success Manager at Redis will manage customer relationships, drive product adoption, deliver business reviews, develop success plans, and ensure account retention and growth while collaborating across teams.

The DevOps Engineer will manage and enhance deployment, automation, and monitoring of production applications, while collaborating on infrastructure and security challenges.

Lead the cloud infrastructure strategy for Azure and AWS, implementing best practices in governance, automation, and CI/CD. Mentor junior engineers and manage cloud security and cost-optimization initiatives.

The Senior DevOps Engineer will manage AWS infrastructure, optimize CI/CD pipelines, ensure security and reliability, and collaborate with various teams to enhance deployment efficiency.

The role involves providing expert technical support, optimizing workflows with Zendesk, troubleshooting complex issues, and mentoring junior engineers in a growing cybersecurity firm.

As a Founding Full Stack Engineer, you will develop product features, integrate systems, improve infrastructure, and manage customer launches while ensuring quality and efficiency.

The position involves building and owning product surfaces across the entire stack, mentoring engineers, and making infrastructure decisions for AI-focused projects.

The Technical Program Manager will lead engineering operations, manage Jira and Jellyfish configurations, and optimize workflows using AI to enhance reporting and improve team performance.

As a Forward Deployed Engineer Strategist, you will work with teams to deploy voice AI technology, identify customer needs, design integrations, and deliver high-impact solutions while collaborating with customers and internal teams.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

Lead R&D efforts by integrating AI and low-code/no-code platforms, foster team growth, and enhance technical adoption and innovation.

The role involves managing and optimizing large-scale Linux server infrastructures, ensuring uptime, reliability, and security while collaborating with various teams.

The Azure DevOps Engineer will manage Azure infrastructure, optimize CI/CD pipelines, maintain Linux systems, and ensure security compliance.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

Develop and maintain back-end web applications, ensuring efficient integration with front-end systems, optimizing performance, and collaborating with QA for testing.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

Lead complex network and cloud deployments, manage customer implementations, troubleshoot issues, mentor junior engineers, and develop automation tools.

Responsible for the end-to-end design, development, and deployment of Machine Learning models, collaborating with teams, and managing deployment lifecycles.

The AI GTM Engineer will design and develop AI agents for go-to-market operations, automate workflows, and ensure data integrity in marketing and sales processes.

The Data Engineer III will build and maintain data pipelines, optimize data flow, and support data analysts to enhance insights and operational efficiency.