Data Scientist and Engineering Leader
2 weeks ago
Job Title: Staff Data and Applied Scientist
NetApp is seeking a skilled Staff Data and Applied Scientist to join the Data Services organization. The team is responsible for empowering organizations to effectively govern their data estate and build cyber-resiliency while accelerating their digital transformation journey.
Key Responsibilities:
- Design and implement machine learning systems for data governance, leveraging techniques such as classical machine learning, generative AI models, and AI agents.
- Ensure the 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 AI/ML-driven solutions.
- Work with autonomy and technical lead the data governance product area, creating a forward-looking vision with clear direction.
- Effectively communicate complex technical artifacts to both technical and non-technical audiences.
Requirements:
- Master's or Bachelor's degree in computer science, engineering, applied mathematics, statistics, or 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.
- 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.
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