Principal AI/ML Engineer

4 weeks ago

Belfast, United Kingdom Rapid7 Full time

Rapid7 is investing heavily in its Belfast office to establish an AI Centre of Excellence, covering AI, ML, and data science. As a leader in cybersecurity, we're on a mission to leverage AI to accelerate threat investigation, detection, and response capabilities of our Security Operations Centre for both conventional networks and cloud environments.

We're seeking a talented AI, ML, and data science professional to build systems that detect patterns and anomalies humans can't, and which rule-based detections miss. In this role, you will help define and deliver an MLOps strategy for our growing AI team.

Key Responsibilities

You will have a strong foundation in applied AI R&D, software engineering, and MLOps and DevOps systems and tools. You'll have a demonstrable track record of taking models created in the AI R&D process to production with repeatable deployment, monitoring, and observability patterns.

Requirements

  • Expertise in ML deployment, especially in AWS, and software engineering.
  • Experience as a software engineer, notably in building APIs and/or interfaces, paired with adept coding skills in Python.
  • Adeptness in containerization and DevOps.
  • Exemplary problem-solving capabilities, particularly in decomposing complex problems into manageable parts and devising innovative solutions.
  • Proficiency with CI/CD tooling, Docker, Kubernetes, and experience developing APIs with Flask or FastAPI.
  • Experience deploying LLMs, managing advanced compute resources like GPUs, and navigating data collection for metrics and fine-tuning from LLM-based systems.
  • Robust analytical, problem-solving, and communication skills, with the capacity to convey intricate ideas effectively.
  • Maintenance of high standards of engineering hygiene, embracing best practices and an agile development mindset.

Desirable Skills

  • Previous experience with NLP and ML models, understanding their operational frameworks and limitations.
  • Adeptness in containerization and DevOps.
  • Proficiency in implementing model risk management strategies, including model registries, concept/covariate drift monitoring, and hyperparameter tuning.
  • Experience in designing and integrating scalable AI/ML systems into production environments.
  • Strong communication skills, with the ability to explain complex AI/ML concepts to both technical and non-technical stakeholders.

Personal Qualities

  • A positive, can-do, solution-oriented mindset, welcoming the challenge of tackling the biggest problems.
  • Persistence and consistency, being able to systematically tackle complex use cases head-on.
  • A willingness to work in a fast-paced environment, sometimes with multiple projects to juggle simultaneously.
  • An understanding of the highly iterative nature of AI development and the need for rigour.
  • An appreciation for thorough testing and evaluation to avoid silent failures.
  • A strong ability to work with peers to help them become stronger problem solvers, communicators, and collaborators.
  • A curiosity and passion for continuous learning and self-development.
  • A receptiveness to new ideas, listening to suggestions from colleagues, and carefully considering and sometimes adopting them.
  • An awareness of the importance of wider ethical and risk considerations with AI.
  • Strong interpersonal and communication abilities, explaining hard-to-understand topics to different audiences, working to build consensus, and writing up work clearly.
  • A bias for action, without being careless.

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