leading or managing a technical team, including coaching and career development) Proven experience as an IT professional, with demonstrated experience in MLOps, ML infrastructure, or similar model-operations work Experience leading or managing a technical team, including coaching and career development Experience standing up or operating model monitoring and drift detection in production Familiarity with agile methodologies Skills That Will Help You Stand Out Solid understanding of CI/CD deployment patterns for real-time and batch inference AWS Certified AI Practitioner or higher-level AWS certification Experience with LLMOps practices (bias/toxicity drift, latency, explainability monitoring) for generative or agentic model use cases Experience running intake/consultation processes to scope ML products with business stakeholders Strong presentation skills and a track record of communicating technical work to non-technical audiences Basic knowledge of insurance and financial services products (e.g., retirement/income solutions, group benefits, individual life) Salary Range Information Salary ranges below reflect targeted base salaries. Who You Are We are looking for someone with: Associate or bachelor's degree (preference in a computer science, technology, engineering, or math-related field) and 8+ years' work experience or equivalent experience 5+ years of experience working with AWS is required (Glue, S3, SageMaker, IAM), Snowflake, feature store and model registry concepts, and ML frameworks (XGBoost, Scikit-Learn, PyTorch).