MLOps Engineer

Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the succ

Required Qualifications Bachelor's degree in Information Systems or related field 3 6 years of experience in ML projects (with 18+ months in MLOps) Strong programming skills (Python, Java, or Scala) Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with Azure cloud platform Familiarity with Docker and Kubernetes Experience with ML deployment tools (MLflow, Kubeflow)

ML Ops Engineer RESPONSIBILITIES Architect and build a production-grade MLOps platform on Snowflake using Snowpark, Snowflake ML, Model Registry, and Feature Store capabilities. Design and operationalize reusable ML pipelines for training, validation, deployment, inference, and monitoring. Build MLOps workflows aligned with Bronze, Silver, and Gold layers so model training and inference consistently consume trusted medallion data. Establish model lifecycle management standards, including version

MLOPSoffice locations (Pittsburgh, PA, Cleveland, OH, Dallas, TX, Birmingham, AL or Phoenix, AZ,).Technical Skills:o Amazon SageMaker: In-depth knowledge of SageMaker, including domain setup, configuration, and infrastructure management.o Cloud Knowledge: A deep understanding of cloud computing concepts, especially related to Amazon Web Services (AWS).o Infrastructure Design: Ability to design and implement MLOPs cloud solutions, considering scalability, security, and performance.o Experience: P