Staff AI Engineer
Staff AI Engineer
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Job Description
Staff AI Engineer 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 youre passionate about AI and want to make a major impact in a fastpaced 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
Scikit learn for building machine learning models
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 youll 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 platforms functionalities.
In this role you will:
Design and build ML production systems including project scoping data requirements modeling strategies and deployment
Develop and maintain data pipelines manage the data lifecycle and ensure data quality and consistency throughout
Assure robust implementation of ML guardrails and manage all aspects of service monitoring
Develop and deploy accessible endpoints including web applications and REST APIs while maintaining steadfast data privacy and adherence to security best practices and regulations
Share expertise and knowledge consistently with internal and external stakeholders nurturing a collaborative environment and fostering the development of junior engineers
Embrace agile development practices valuing constant iteration improvement and effective problemsolving in complex and ambiguous scenarios
The skills youll bring include:
812 years experience as a Software Engineer with at least 3 years focused on gaining expertise in ML deployment (especially in AWS)
Solid technical experience in the following is required:
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 preprocessing and feature engineering model monitoring and evaluation
A growth mindset welcoming the challenge of tackling complex problems with a bias for action
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
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:
Experience with Java programming
Experience in the security industry
AI and ML models understanding their operational frameworks and limitations
Familiarity with resources that enable data scientists to fine tune and experiment with LLMs
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 multidimensional teams. Thats 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 dont 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 whats possible and drive extraordinary impact.
Here were 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 10000 global customers ahead of whatevers next.
Join us and bring your unique experiences and perspectives to tackle some of the worlds biggest security challenges.
#LIMS
Required Experience:
Staff IC
Employment Type
Full-Time
