Jobs/AI Data Scientist Lead

AI Data Scientist Lead

NAV India

·navindia.com
Full–timeData Scientist
Jaipur, Rajasthan, IN
Not disclosed
Jun 24, 2026(June 24, 2026)

Job description

## Full Description About This Role: We are seeking an experienced machine learning professional to join our team at NAV India. As a key member of our ML team, you will play a crucial role in driving innovation and delivering cutting-edge AI solutions. Key Responsibilities Design and develop efficient data processing pipelines to support ML model training. Analyze and optimize ML algorithm performance using various metrics and tools. Work closely with cross-functional teams to integrate ML models into our products and services. Stay up-to-date with industry trends and advancements in ML research. Collaborate with data scientists and engineers to identify areas for process improvements. Requirements Strong background in machine learning and deep learning concepts. Proficiency in Python programming and experience with popular ML libraries. Excellent problem-solving skills and attention to detail. Ability to work in a fast-paced environment and prioritize tasks effectively. Familiarity with cloud-based platforms and containerization technologies. ## Full Description About This Role: We are seeking an experienced machine learning professional to join our team at NAV India. As a key member of our ML team, you will play a crucial role in driving innovation and delivering cutting-edge AI solutions. Key Responsibilities Design and develop efficient data processing pipelines to support ML model training. Analyze and optimize ML algorithm performance using various metrics and tools. Work closely with cross-functional teams to integrate ML models into our products and services. Stay up-to-date with industry trends and advancements in ML research. Collaborate with data scientists and engineers to identify areas for process improvements. Requirements Strong background in machine learning and deep learning concepts. Proficiency in Python programming and experience with popular ML libraries. Excellent problem-solving skills and attention to detail. Ability to work in a fast-paced environment and prioritize tasks effectively. Familiarity with cloud-based platforms and containerization technologies.

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