Data and Applied Scientist

3 days ago

bangalore, India Job Summary NetApp Full time

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 RequirementsLead 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 organizationPreferred 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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