Principal AI Engineer - ML Ops 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 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 workplace Sci-kit learn for building machine learning models Anomaly detection methods to make sense of unlabeled data About the Role Rapid7 is seeking a Principal AI Engineer to join our team as we expand and evolve our growing AI and MLOps efforts You should have a strong foundation in applied AI R D 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 Architect and manage the end-to-end design of 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 problem-solving in complex and ambiguous scenarios The skills you ll bring include 15 years experience as a Software Engineer with 3-5 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 pre-processing 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 Established track record of mentoring and guiding junior engineers fostering their technical growth and promoting engineering excellence within the organization Experience with the following would be advantageous AI and ML models understanding their operational frameworks and limitations Deploying resources that enable data scientists to fine tune and experiment with LLMs Implementing 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

📌 Principal Ai Engineer - Mlops (Maharashtra)
🏢 Rapid7
📍 Maharashtra