Contract-W2: MLOps Engineer

An industry-leading technology and analytics organization is hiring an AI/ML Operations Engineer to support its rapidly growing artificial intelligence initiatives. This full-time opportunity offers the chance to work with modern cloud technologies, machine learning platforms, containerized environments, and production AI systems. The ideal candidate will have experience deploying machine learning solutions, building cloud infrastructure, and supporting MLOps best practices across enterprise env

RESPONSIBILITIES: Kforce has a client that is seeking a remote Senior MLOps Engineer to join their team. Summary: We are seeking a hands-on Senior MLOps Engineer with strong experience building, deploying, and operationalizing machine learning solutions in cloud environments. This role will partner closely with Data Scientists, Data Engineers, and Software Engineers to transform machine learning models into scalable, production-ready applications. The ideal candidate combines strong software en

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 success of every

Role: ML Ops Engineer Duration: Full time Location: Remote Overview Seeking an experienced ML Ops Engineer to build and operate scalable ML infrastructure supporting predictive models, NLP, and LLM applications in a healthcare environment. The role focuses on automation, deployment, monitoring, governance, and HIPAA-compliant ML operations. Key Responsibilities Build automated ML training, evaluation, and deployment pipelines using MLflow, Databricks Workflows, and AWS SageMaker.Manage model ser