AI Engineer II - ML Ops

at  Rapid7

The global order relies on a free and open internet, and cybercriminals have turned it into their playground. As they chase AI to increase the speed and scale of their attacks, Rapid7 has been leveraging it to supercharge our cybersecurity detections and triage alerts quickly. For decades, we’ve been using AI technology to power risk and threat analysis to detect attacks earlier and reduce response time.
Rapid7 is making significant investments in our Belfast office with the formation of our new AI Centre of Excellence, encompassing the full range of AI, ML and data science. As a leader in cybersecurity, we’re on a new mission to use AI to accelerate threat investigation, detection and response (D&R) capabilities of our Security Operations Centre (SOC). The AI race to stay ahead of attackers is on and needs more than speed. Attack surfaces are getting broader every day and it’s important to optimise D&R with AI that can identify signals in a sea of noise. Further, we’re embracing generative AI and researching novel ways LLMs can add value for our customers in D&R.
We’re seeking the best AI, ML and data science talent to build systems for detecting patterns and anomalies humans can’t, and which rule-based detections miss. As an AI Engineer II, you will work on solutions that address important challenges, working closely with development teams, data engineering, product managers and UI/UX teams along the way. There’s a ton of work to do and we would love you to join us!

An AI Engineer II in MLOps designs and implements systems to support and enable AI research, systems to accelerate and augment AI model development, and systems that bring AI features to our product portfolio. You will build these systems in the cloud, using standard MLOps and DevOps tools, and will work closely with the other members of the COE to build custom infrastructure where appropriate. This is important work and speed to market is key - you’ll work fast and smart, supported by more senior members of the team, getting results that let us make decisions about how best to deliver our work to our customers.