MLOPS Architect (Principal Level)

Rapid7's AI Center of Excellence is seeking a Principal AI Engineer - MLOps to join our expanding team.

We leverage AI/ML to enhance customer security and threat detection, working with technologies like AWS, EKS, Terraform, Python (numpy, pandas), Jupyter, and Sci-kit learn.

This role is ideal for an experienced AI Engineer with a strong background in applied AI R&D, software engineering, and MLOps/DevOps. You'll be responsible for taking AI models from R&D to production, ensuring repeatable deployment, monitoring, and observability.

Key Responsibilities:

• Architect and manage end-to-end ML production systems (scoping, data, modeling, deployment).
• Develop and maintain data pipelines, managing data lifecycle and quality.
• Implement ML guardrails and manage service monitoring.
• Develop and deploy accessible endpoints (web apps, REST APIs) with a focus on data privacy and security.
• Share expertise, mentor junior engineers, and foster collaboration.
• Embrace agile development practices for continuous iteration and problem-solving.

Required Skills & Experience:

• 15+ years as a Software Engineer, with 3-5 years focused on ML deployment (especially AWS).
• Software Engineering: Strong Python, developing APIs with Flask or FastAPI.
• DevOps & MLOps: Designing and integrating scalable AI/ML systems into production, CI/CD, Docker, Kubernetes, cloud AI resource management.
• Pipelines, Monitoring, Observability: Data pre-processing, feature engineering, model monitoring, and evaluation.
• Growth mindset, strong communication skills, and proven ability to collaborate across teams.
• Track record of mentoring junior engineers.

Advantageous Experience:

• Understanding of AI and ML operational frameworks and limitations.
• Deploying resources for LLM fine-tuning and experimentation.
• Implementing model risk management strategies (registries, drift monitoring, hyperparameter tuning).

Rapid7 is committed to building a secure digital world and fosters a collaborative, innovative, and inclusive environment.

We encourage diverse candidates to apply.