Cortex Principal / Lead ML Engineer - Enterprise Machine Learning Platform (Multi-Cloud) | Onsite

We are looking for a seasoned architect with hands-on experience designing and implementing enterprise-scale AI platforms. Key qualifications include: 

• Expertise in end-to-end enterprise ML platform architecture, including multi-cloud environments 

• Strong knowledge of data and compute separation and integration patterns 

• Comprehensive understanding of the Model Development Lifecycle (MDLC) 

• Experience with data protection strategies (data at rest and in transit) 

• Deep understanding of security, technology, and data governance controls 

• Strong expertise in Kubernetes, including OpenShift (OCP) and GKE 

• Proven hands-on experience building enterprise ML platforms 

• Experience with agentic AI solutions and modern development approaches (e.g., rapid prototyping / “vibe coding”) 

• Excellent communication and executive presentation skills

Compensation, Benefits and Duration

Minimum Compensation: USD 64,000
Maximum Compensation: USD 226,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post