Staff Machine Learning Engineer, Platform (MLOPS)

For our client, we are seeking a Staff Machine Learning Engineer, Platform (MLOPS) to join the team of a leader in the Finance & Insurance space. This role will own the platform capabilities that support production ML and GenAI delivery, with a strong emphasis on deployment, monitoring, and operational reliability. You will partner closely with engineering and data teams to ensure models and agents run securely, perform well, and are supported by strong observability and evaluation practices. The ideal candidate brings deep experience operating production ML systems and a product-minded approach to building scalable platform infrastructure. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $154,120 – $226,042 annually Responsibilities Own the end-to-end deployment path for ML and GenAI models, including pipelines and model registry. Monitor and ensure runtime health for models in production, including incident response and quality detection. Operate the agent runtime layer, ensuring secure and governed access to production agents. Evaluate agents in production through online scoring and behavioral monitoring. Build and maintain observability and evaluation infrastructure for other teams' dependencies. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a relevant technical field with 5-7 years of experience. 5+ years of experience building and operating production ML or AI systems, with ownership of training or inference pipelines, model serving, or monitoring. Demonstrated experience managing a production ML or AI service through its full lifecycle. Strong proficiency in Python and SQL, with a focus on production-quality engineering practices. Hands-on experience with cloud ML platforms, preferably AWS and Databricks. Benefits 401(K) match Adoption assistance Parental leave Tuition reimbursement Comprehensive medical, dental, and vision coverage Unique nonstandard benefits that enhance workplace culture. Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.