AI Engineer II MLOps
About the Team
The AI Center of Excellence team includes Data Scientists and AI Engineers that work together to conduct research, build prototypes, design features and build production AI components and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. We partner closely with Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. We foster a collaborative environment, sharing knowledge, developing internal learning, and encouraging research publication. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity.
The technologies we use include:
- AWS for hosting our research environments, data, and features (i.e. Sagemaker, Bedrock)
- EKS to deploy applications
- Terraform to manage infrastructure
- Python for analysis and modeling, taking advantage of numpy and pandas for data wrangling.
- Jupyter notebooks (locally and remotely hosted) as a computational environment
- Sci-kit learn for building machine learning models
- Anomaly detection methods to make sense of unlabeled data
About the Role
Rapid7 is seeking an AI Engineer II to join our team as we expand and evolve our growing AI and MLOps efforts. You should have a strong foundation in software engineering, and MLOps and DevOps systems and tools. Further, you'll have a demonstrated track record of taking models created in the AI R&D process to production with repeatable deployment, monitoring and observability patterns. In this intersectional role, you will combine your expertise in AI/ML deployments, cloud systems and software engineering to enhance our product offerings and streamline our platform's functionalities.
In this role, you will:
- Take responsibility for particular pieces of work within a wider project with guidance from the team
- Build, deploy, and maintain ML production systems with guidance from the team
- Develop and maintain data pipelines, manage the data lifecycle, and ensure data quality and consistency throughout
- Develop and deploy accessible endpoints, including web applications and REST APIs, while maintaining steadfast data privacy and adherence to security best practices and regulations
- Embrace agile development practices, valuing constant iteration, improvement, and effective problem-solving in complex and ambiguous scenarios
The skills you'll bring include:
- 2-4 years experience as a Software Engineer, preferably with experience in ML deployment (especially in AWS)
- Technical experience in the following is strongly preferred::
- Software engineering: developing APIs with Flask or FastAPI, paired with strong Python knowledge
- DevOps and MLOps: Designing and integrating scalable AI/ML systems into production environments, CI/CD tooling, Docker, Kubernetes, cloud AI resource utilization and management
- Pipelines, monitoring, and observability: Data pre-processing and feature engineering, model monitoring and evaluation
- The attitude and ability to thrive in a high-growth, evolving environment
- Collaborative team player who has the ability to partner with others and drive toward solutions
- Solid communicator with excellent written and verbal communications skills both within the team and cross functionally
Experience with the following would be advantageous:
- Experience in the security industry
- Experience with Sagemaker and AWS services
- Experience with Java programming
- Familiarity with AI and ML models, understanding their operational frameworks and limitations
We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today.
About Rapid7
At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what's possible and drive extraordinary impact.
Here, we're building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever's next.
Join us and bring your unique experiences and perspectives to tackle some of the world's biggest security challenges.
#LI-MS
