The technologies we use include:
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AWS for hosting our research environments, data, and features (i.e. Sagemaker, Bedrock)
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EKS to deploy applications
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Terraform to manage infrastructure
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Python for analysis and modeling, taking advantage of numpy and pandas for data wrangling.
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Jupyter notebooks (locally and remotely hosted) as a computational environment
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Sci-kit learn for building machine learning models
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Anomaly detection methods to make sense of unlabeled data
About the Role
Rapid7 is seeking a Staff AI Engineer 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 RD 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 platforms functionalities.
In this role, you will:
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Design and build ML production systems, including project scoping, data requirements, modeling strategies, and deployment
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Develop and maintain data pipelines, manage the data lifecycle, and ensure data quality and consistency throughout
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Assure robust implementation of ML guardrails and manage all aspects of service monitoring
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Develop and deploy accessible endpoints, including web applications and REST APIs, while maintaining steadfast data privacy and adherence to security best practices and regulations
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Embrace agile development practices, valuing constant iteration, improvement, and effective problem-solving in complex and ambiguous scenarios
The skills you ll bring include:
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8-12 years experience as a Software Engineer, with at least 3 years focused on gaining expertise in ML deployment (especially in AWS)
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Solid technical experience in the following is required:
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Software engineering: developing APIs with Flask or FastAPI, paired with strong Python knowledge
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DevOps and MLOps: Designing and integrating scalable AI/ML systems into production environments, CI/CD tooling, Docker, Kubernetes, cloud AI resource utilization and management
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Pipelines, monitoring, and observability: Data pre-processing and feature engineering, model monitoring and evaluation
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A growth mindset - welcoming the challenge of tackling complex problems with a bias for action
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Strong written and verbal communication skills - able to effectively communicate technical concepts to diverse audiences and creating clear documentation of system architectures and implementation details
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Proven ability to collaborate effectively across engineering, data science, product, and other teams to drive successful MLOps initiatives and ensure alignment on goals and deliverables.
Experience with the following would be advantageous:
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Experience with Java programming
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Experience in the security industry
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AI and ML models, understanding their operational frameworks and limitations
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Familiarity with resources that enable data scientists to fine tune and experiment with LLMs
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Knowledge of or experience with model risk management strategies, including model registries, concept/covariate drift monitoring, and hyperparameter tuning
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
Security and Compliance
Rapid7 is committed to keeping customers secure. As a first line of defense, all employees are expected to uphold the highest standards of security and privacy, ensuring the protection of sensitive information and compliance with relevant regulations.