Senior Principal Ai/ml Engineer

Abbott

Santa Clara, California, United States
Base: $148,700.00 – $297,300.00; bonus/equity: not...
Hybrid
Mlops capabilities
Ai platform development
Ci/cd workflows for ml
Lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced AI technology development with scalable engineering solutions

Job Summary

  • Lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced AI technology development with scalable engineering solutions.
  • Design, develop, and maintain a robust AI platform, establishing production-grade MLOps capabilities, and collaborating closely with data scientists, infrastructure specialists, and algorithm teams.
  • Abbott offers career development with an international company, access to a Health Investment Plan (HIP) PPO medical plan, an excellent retirement savings plan, tuition reimbursement, and is recognized as a great place to work globally.

Matching Summary

Lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced AI technology development with scalable engineering solutions.

Salary

Base: $148,700.00 – $297,300.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • MLOps capabilities
  • AI platform development
  • CI/CD workflows for ML
  • HIPAA, GDPR, SaMD compliance
  • GenAI and Agentic AI infrastructure
  • Cloud computing platforms
  • Containerization technologies

Nice-to-have

  • FDA-regulated business experience
  • Design thinking process
  • Signal processing, computer vision, multimodal learning
  • Data security best practices
  • Publications, patents, open-source contributions

Key Requirements

  • Bachelors Degree in Computer Science, Engineering Mathematics, or related field
  • Minimum 10+ years of experience
  • Master’s Degree with 7+ years of experience
  • Ph.D. with 5+ years of experience
  • Experience building ML infrastructure
  • Experience developing AI products on cloud platforms
  • Proficient in Azure ML SDK, Azure Data Factory, Databricks, Spark
  • Strong understanding of database technologies
  • Significant experience with agile software development
  • Experience incorporating Security by Design
  • Experience of senior executive/leadership engagement
  • Exposure to architecture practices and frameworks
  • Experience with microservices architecture
  • Experience in reviewing and selecting Technical and Applications Architectures solutions
  • Certifications and specializations in AI/ML, LLMs and Cloud platforms
  • Team leadership experience
  • Demonstrated mentorship capabilities

Work Rights

Not specified

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