Role Overview
As the Senior AI Ops Engineer, you will lead the advancement of our AI capabilities, focusing on engineering excellence and leveraging generative AI to enhance our end-to-end operations from experimentation to deployment. With our infrastructure transitioning to Oracle Cloud Infrastructure (OCI), you will play a pivotal role in architecting, optimizing, and scaling AI workloads within OCI’s ecosystem.
What You Will Do
Enhance AI Operations, Lead R&D Efforts, Stakeholder Collaboration, Program-Level Initiatives, Ethical AI/ML Practices, Team Management, Compliance
Why It Might Be a Fit
Must have 7+ years in Data Science, 3+ years in R&D, 2+ years mentoring/managing junior engineers. Deep expertise in Kubernetes, CI/CD, LLMOps, and cloud-native architecture. Passion for building AI that’s not just powerful, but secure and compliant.
Requirements
- 7+ years in Data Science
- 3+ years in R&D
- 2+ years mentoring/managing junior engineers
- Deep expertise in Kubernetes, CI/CD, LLMOps, and cloud-native architecture
- Fluency in Python, Bash, and container-native toolchains
- Familiarity with open-weight LLMs (Mistral, Grok, LLaVA, etc.)
- Experience in dealing with Peta Bytes of data
- Strong problem-solving, critical thinking, creativity, organizational, and communication skills
Benefits
- Medical, dental and vision coverage with low deductible & copay
- Life insurance
- Short and long-term disability
- Paid Parental Leave
- 401(k) + match
- Employee Stock Purchase Plan
- Generous Paid Time Off – accrued based on years of service
- 10 paid company holidays
- Tuition reimbursement
- Flexible Spending Account
- Employee Assistance Program
- Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year
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