Rapid7 Principal AI/ML Ops Engineer 

United Kingdom, Northern Ireland, Belfast 

776097077

You may be a good fit if you

• Have expertise in both ML deployment (especially in AWS) and software engineering.

• Have experience as a software engineer, notably in building APIs and/or interfaces, paired with adept coding skills in Python and TypeScript.

• Possess adeptness in containerization and DevOps.

• Demonstrate exemplary problem-solving capabilities, particularly in decomposing complex problems into manageable parts and devising innovative solutions.

• Are proficient with CI/CD tooling, Docker, Kubernetes, and have prior experience developing APIs with Flask or FastAPI.

• Have experience deploying LLMs, managing advanced compute resources like GPUs, and navigating data collection for metrics and fine-tuning from LLM-based systems.

• Showcase robust analytical, problem-solving, and communication skills, with the capacity to convey intricate ideas effectively.

• Maintain high standards of engineering hygiene, embracing best practices and an agile development mindset.

Strong candidates may also

• Have previous experience with NLP and ML models, understanding their operational frameworks and limitations.

• Are versed with frontend frameworks like React.

• Possess adeptness in containerization and DevOps.

• Possess 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.

And you as a person:

• Bring a positive, can-do, solution-oriented mindset, welcoming the challenge of tackling the biggest problems.

• Are persistent and consistent, being able to systematically tackle complex use cases head-on.

• Enjoy working in a fast-paced environment, sometimes with multiple projects to juggle simultaneously.

• Understand the highly iterative nature of AI development and the need for rigour.

• Appreciate the importance of thorough testing and evaluation to avoid silent failures.

• Are a great teammate to help peers become stronger problem solvers, communicators, and collaborators.

• Have a curiosity and passion for continuous learning and self-development.

• Stay receptive to new ideas, listen to suggestions from colleagues, carefully considering and sometimes adopting them.

• Realise the importance of wider ethical and risk considerations with AI.

• Possess strong interpersonal and communication abilities, explaining hard-to-understand topics to different audiences, working to build consensus, and writing up work clearly.

• Exhibit a bias for action, without being careless.