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Data Scientist / Technology Leader (Gen AI & ML)

NE

Data Scientist / Technology Leader (Gen AI & ML)

NetApp

Bangalore, India Office (BANGALORE)

·

On-site

·

Full-time

·

4mo ago

Job Summary

We are seeking a highly experienced and innovative Technology Leader to drive our Artificial Intelligence (AI) and Machine Learning (ML) initiatives. This role will be pivotal in shaping our AI/ML strategy, leading complex technical projects, and providing thought leadership in Data Science and Generative AI

As a senior technical expert, you will work hands-on with cutting-edge technologies, mentor teams, and collaborate across product, engineering, and research functions to deliver impactful AI-driven solutions.

Job Requirements

  • Lead the design and development of advanced AI/ML models, with emphasis on Generative AI applications.
  • Define technology roadmaps, best practices, and standards for AI/ML adoption across the organization.
  • Partner with cross-functional teams to integrate AI/ML solutions into products and services.
  • Mentor junior and mid-level engineers/data scientists, fostering a culture of innovation and excellence.
  • Stay ahead of emerging trends in AI, ML, and Data Science, and evaluate their potential impact.
  • Drive proof-of-concept projects from ideation to deployment.

Critical Requirements:

-10+ years of experience in AI/ML and Data Science, with at least 3+ years in a leadership capacity.

  • Proven expertise in Generative AI (LLMs, diffusion models, transformers, etc.).
  • Strong background in statistical modelling, deep learning, and large-scale data processing.
  • Hands-on experience with frameworks such as Tensor Flow, Py Torch, Hugging Face Transformers.
  • Proficiency in Python and experience with cloud-based AI services (AWS, Azure, GCP).
  • Track record of delivering AI/ML solutions in production environments.
  • Excellent communication, collaboration, and stakeholder management skills.

Education

  • Advanced degree (Master’s or PhD) in Computer Science, AI/ML, Data Science, or related field.
  • Experience working in global, matrixed organizations.
  • Publications or patents in AI/ML research.