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What you'll do:
- Provide technical ownership for applied AI and data science initiatives across Sonatype, helping define approaches, architecture, priorities, and standards.
- Lead complex AI projects from concept to production—translating ambiguous business and technical problems into measurable experiments and scalable solutions.
- Act as a senior internal AI consultant to product, engineering, security, and research teams, helping identify high-value opportunities and advising teams on ML and GenAI approaches.
What you bring:
- 7+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI research.
- Strong Python skills and practical experience with data and AI libraries/platforms such as Databricks, and LLM APIs, scikit-learn.
- Experience building and shipping ML or GenAI applications—from early prototype through usable internal or customer-facing workflows.
It'd be great if you had:
- Deep MLOps experience, including MLflow or comparable tooling, experiment tracking, reproducible pipelines, CI/CD, serving, and production monitoring.
- Experience applying ML or AI to cybersecurity, fraud detection, anomaly detection, code analysis, threat intelligence, or software supply-chain security.
Sonatype
Sonatype is the software supply chain management company that invented componentized software development and pioneered the software supply chain category. Trusted by more than 2,000 organizations and over 15 million developers, we are committed to constant innovation using AI/ML.