Data and Applied Scientist

1 week ago

Bengaluru, Karnataka, India NetApp, Inc. Full time ₹ 15,00,000 - ₹ 25,00,000 per year
Job Summary

NetApp is seeking a Data & Applied Scientist to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As an individual contributor in this team, the Data & Applied Scientist will be responsible for independently developing and shipping ML/AI-based solutions to solve real-world challenges in the domains of data governance and compliance. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.

Job Requirements
  • Lead the development and deployment of AI/ML models and systems for Data governance with techniques from the realm of classical Machine learning, Generative AI and AI agents.
  • Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest techniques and approaches platforms for rapid experimentation.
  • Collaborate with data scientists and engineers to integrate AI models and systems into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.
  • Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap.
  • Ensure scalability, reliability, and performance of AI models in production environments.
  • Have a customer focus mindset and build AI/ML products that delight our customers.
  • Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry/academic conferences.
Required and Preferred Qualification

Required Qualification


•    Master's or bachelor's degree in computer science / applied mathematics / statistics / data science OR equivalent skills. Degrees are not compulsory.

•    Expertise in data science fundamentals and model evaluations as evidenced by solid understanding of supervised ML, unsupervised ML and deep learning approaches with 4+ years of experience shipping them to production.

•    Strong Proficiency in Python, modern ML frameworks (PyTorch, transformers) and derivative tooling.

•    Working expertise with using large language models, prompting techniques, finetuning, synthetic data generation and knowing when not to use LLMs.

•    Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organization

Preferred Qualification


•    Curiosity and tinkering with AI agents or multi-agent systems.

•    Understanding of data governance, security policies and compliance frameworks.

•    Experience of representing their work or company in AI/ML conferences. Publications or contributions to AI/ML community related to NLP or data governance.

•    Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements.


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