Senior Data Architect

4 weeks ago

Bengaluru, Karnataka, India NetApp Full time
Job Title: Senior Data Architect

At NetApp, we are seeking a highly skilled Senior Data Architect to join our Data Services organization. As a key technical leader in this initiative, you will be responsible for architecting machine learning systems, and building data pipelines and ML models across data governance and compliance domains.

Key Responsibilities
  • Lead the design and implementation of ML systems for Data governance area with techniques such as classical Machine learning, Generative AI models and AI agents.
  • Ensure scalability, reliability, and performance of AI models in production environments.
  • Oversee ML design reviews, create best practices and playbooks for end-to-end ML systems in production.
  • Collaborate with data engineers to develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, ML feature pipelines and deployment services.
  • Work with a great deal of autonomy and be the technical thought leader in data governance product area. creating a forward-looking vision with clear direction.
  • Effectively communicate complex technical artifacts to both technical (engineers & scientists) and non-technical audiences.
  • Work closely with cross-functional teams including business stakeholders to innovate and unlock new use-cases for our customers that is driven through data intelligence.
  • Participate in cross-functional meetings, workshops, and planning sessions to ensure data engineering activities support the overall objectives across data services and platform initiatives.
  • Coaching and leadership for data scientists and the broader cross-functional team, helping influence and develop their skills and capabilities by fostering a culture of innovation and continuous learning.
  • Have a strong customer focus and build AI/ML products that delight our customers.
  • Represent NetApp as a leader and ambassador in the machine learning community, building relationships with external partners and promoting the company's product capabilities in industry/academic conferences

Requirements
  • Master's or Bachelor's in computer science, Engineering, Applied Mathematics/Statistics/Data Science or equivalent skills.
  • 10+ years of experience as a data and machine learning engineer, with a track record of building data/feature pipelines and shipping successful products with AI/ML & NLP capabilities at scale. Recent focus on experimenting & deploying LLMs to production is a bonus.
  • Solid understanding of supervised and unsupervised machine learning algorithms and 5+ years of experience shipping them in production.
  • Strong Proficiency in Python, modern ML frameworks (PyTorch, transformers) and cloud platforms.
  • Applied knowledge of MLOps practices, CI/CD pipelines and ML model lifecycle management.
  • Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.
  • (Preferred) Good understanding of data governance, security policies and compliance frameworks.
  • (Preferred) Demonstrated curiosity and tinkering with AI agents or multi-agent systems.
  • (Preferred) Publications or contributions to AI/ML community related to NLP or data governance.
  • (Preferred) 2+ years' experience in technically leading a team of data and machine learning engineers.
  • (Preferred) Solid understanding of deep learning approaches in Natural Language Processing and Computer Vision domains.
  • (Preferred) Active GitHub profile showcasing relevant ML projects or Kaggle achievements are a bonus.

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