Head of MLOps

As Head of MLOps at Enterpret, you'll be responsible for designing and evolving the company's ML platform for training, serving, and retraining LLM models. You'll work closely with ML researchers, backend engineers, and product teams to ensure the AI systems are resilient, secure, and cost-efficient. You'll report directly to the CTO and lead incident response, root cause analysis, and postmortems for ML systems.

Requirements

• Design and evolve Enterpret's ML platform for training, serving, and retraining LLM models using AWS/Terraform/OpenAI/Anthropic.
• Build CI/CD pipelines tailored for ML—including model versioning, testing, canary releases, rollbacks, and gated production deploys.
• Deploy and manage model serving systems for both real-time inference and batch pipelines.
• Set up observability for model performance and data drift—using Braintrust and custom alerts to catch issues before they affect customers.
• Lead incident response, root cause analysis, and postmortems for ML systems—ensuring uptime for insights that product teams rely on, alongside governance and security.
• Track and optimize cloud usage for ML workflows, making model delivery cost-aware and aligned with product usage.
• Implement governance and security across the stack—owning IAM, data access, auditability, and model explainability where needed.
• Partner with ML and product teams to productionize GenAI and AI models powering our Knowledge Graph and Adaptive Taxonomy engine, tackling problems on retrieval, encoder LLM fine-tuning, and reinforcement learning.
• Evaluate tools for model registry, feature stores, and orchestration—and build where needed to keep the feedback loop fast.
• Champion best practices in MLOps across the org—mentoring engineers and setting scalable foundations for the future.
• Act as a coach to our team of researchers who are transitioning into engineering, helping them self-serve their capabilities and self-service these tools rather than doing it yourself.

Benefits

• Competitive salary
• Meaningful equity
• Full-stack healthcare
• Generous leave
• Team-first culture built on trust and ownership