Top Python Developer Jobs in Delhi

As a Senior Data Scientist, you will build, deploy, and optimize machine learning models, leveraging big data technologies and cloud platforms to drive data-driven solutions.

The Senior Data Scientist will design and optimize large language models and multimodal systems, focusing on retrieval-augmented generation and high-quality search solutions.

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

Seeking a Backend Engineer to design and scale microservices and APIs for AI products, collaborating with ML engineers and optimizing performance.

Seeking a hands-on Data Scientist with 4-10 years in AI/ML for model development and optimization in generative AI. Responsibilities include managing experiments across text, audio, and video modalities, and driving initiatives in a dynamic R&D environment.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Senior Software Engineer will design, develop, and maintain scalable software solutions, collaborate with teams, troubleshoot issues, and mentor junior developers.

Design and implement advanced AI solutions, collaborate with data scientists, and improve product effectiveness in a team-oriented environment.

Design, develop, and deploy AI solutions. Collaborate with teams to improve user experience and streamline operations. Mentor junior members.

The Senior AI Engineer will design and deploy AI/ML solutions, mentor junior staff, and collaborate on projects across teams.

Develop and deploy AI and ML models, collaborate with teams to design algorithms, and leverage data for insights and solutions.

The Lead Risk Manager oversees the credit lifecycle, develops analytics and ECL modeling, and manages a team to optimize recovery rates.

The Senior Credit Risk Analyst will analyze credit risks, forecast expected credit losses, and optimize collections strategies using analytical insights from ECL modeling and predictive analytics. Responsibilities also include collaboration with various teams to improve recoveries and automate reporting processes.

Lead and develop engineering teams to optimize Ubuntu for next-gen hardware. Oversee project milestones, maintain software stacks, and enhance engineering practices.

As a Staff Engineer, you will build scalable data systems, manage data infrastructure, and enhance security insights through analytics and collaboration with teams.

The Claude.AI Developer designs and implements AI applications using Claude.AI, collaborates with teams to integrate AI solutions, and optimizes performance.

The Sr. AWS Data Engineer will design, implement, and manage AWS data solutions, collaborate with teams, and mentor junior engineers while ensuring data integrity and availability.

Lead automated testing efforts by designing strategies, creating scripts, mentoring junior testers, and integrating testing into CI/CD pipelines.

The Cloud Engineer (L2) designs, deploys, and maintains cloud infrastructures, mainly in AWS and VMware, ensuring optimal performance and security.

As a Backend Engineer, you'll innovate backend systems, develop APIs, manage projects, perform DevOps tasks, and support Lucidya's growth.

The Python Developer will design and maintain scalable applications, build RESTful APIs, collaborate on requirements, and mentor junior developers in an Agile environment.

The Technical Support Engineer II will troubleshoot complex customer issues, mentor junior engineers, and collaborate across teams to enhance customer satisfaction and product quality.

The UX/UI Developer at NetWitness supports the user experience process, communicates project details, and develops applications using various technologies while ensuring good vendor relationships.

The Python Engineer II will write reliable, testable code, debug systems, and collaborate with teams while developing backend solutions and cloud infrastructure.