Top Python Developer Jobs in Delhi

The AI/ML Engineer II will design, develop, and deploy scalable AI/ML solutions, optimize model performance, and integrate AI into products. The role requires collaboration with various teams and knowledge in deploying solutions to cloud environments.

The Data Integration Lead will design, develop, and optimize data warehouse solutions, focusing on ETL processes, data integrity, and performance tuning in collaboration with BI teams.

The Senior Fullstack Engineer will develop software products, solve complex problems, and ensure high-quality code while coordinating cross-functionally.

The Senior Software Engineer will build and enhance products, design APIs, mentor junior engineers, and collaborate across teams to improve the patient experience.

The role involves collaborating with Data Science teams to implement and manage ML models, designing GenAI solutions, and automating ML operations, while establishing best practices in ML lifecycle management.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

The AI/ML Engineer II is responsible for designing, developing, and deploying AI/ML solutions. They work closely with product management and engineering teams to translate business problems into scalable AI systems, focusing on model optimization, cloud deployment, and cross-functional collaboration.

Lead software delivery for telecom enhancements, serve as SAFe Release Train Engineer, leverage AI technologies to improve processes, and transition into direct leadership.

Lead design and delivery of scalable, high-performance web applications using .NET Core and Angular. Collaborate with stakeholders, estimate work, participate in agile ceremonies, mentor engineers, ensure code quality, and drive projects from concept to deployment while promoting client success.

The role involves utilizing your coding skills to guide team members and develop solutions for client challenges, enhancing overall success.

The Associate Staff Engineer will leverage their coding knowledge and collaborate with teammates to solve client challenges and enhance solutions.

The Staff Engineer, Python will leverage tech knowledge to guide teams, solve client challenges, and enhance solutions for significant impact.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

The Senior Data Engineer will design and build scalable data systems and analytics infrastructure, ensure data quality, and lead technical direction. Responsibilities include developing AI capabilities for the analytics platform and collaborating with teams to translate complex data into actionable insights.

The Staff Machine Learning Engineer will design, deploy, and maintain scalable ML solutions, collaborate with teams, and enhance productivity through tooling.

The Engineering Manager will guide engineers, manage customer escalations, execute product roadmaps, and ensure quality deliverables while enhancing team performance.

The Solutions Support Engineer provides expert technical support in cloud security, troubleshooting complex issues across multiple platforms and implementing automation to enhance support efficiency.

The DevOps Engineer will build and troubleshoot Azure cloud infrastructure, manage CI/CD pipelines, respond to incidents, and collaborate in Agile environments.

The Automation Engineer will design and maintain automation scripts using Ansible and Terraform, develop integration tools with Python, and implement CI/CD processes in a collaborative DevOps environment.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

Join Kroll as a Data Scientist to build and evaluate ML models, supporting deployment and monitoring, while collaborating with experienced teams in financial services and data integrity challenges.

The Senior Data Scientist will lead ML initiatives, develop production-grade data science solutions, mentor junior team members, and collaborate with stakeholders to address complex problems.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

The Data Engineer role involves designing and maintaining data pipelines, ensuring data quality, integrating data sources, and collaborating across teams to enhance BitGo's data infrastructure.

The Infrastructure Operations Engineer will maintain and enhance BitGo's infrastructure, ensuring high availability, performance, and security through automation and effective collaboration within a global engineering team.