MLOPs Engineer

RESPONSIBILITIES: Kforce has a client seeking a Lead Machine Learning Engineer in Fort Lauderdale, FL to lead the design, development, and deployment of enterprise-scale machine learning solutions that drive customer intelligence, personalization, recommendation engines, and next-generation AI experiences. Responsibilities: Machine Learning Development: * Design, develop, train, and deploy machine learning models and predictive analytics solutions * Build recommendation engines, customer segmen

Job Title: MLOPS Engineer Location: Remote (travel to Santa Monica, CA if required) Technical Skills: Experience in MLOps, DevOps, or ML Engineering, with hands-on Google Cloud Platform experience Strong Python skills; comfortable with Bash and scripting for automation Proficiency with BigQuery - writing/optimizing SQL, scheduled queries, and integrating with ML pipelines Experience with GKE or Cloud Run for containerized workloads Experience with Cloud Build or similar CI/CD tools for automat

Role: Senior MLOps (Machine Learning Engineer) Location: Fully Remote Duration: Full Time Job Description As a Senior AI/ML Engineer , you will lead the design, deployment, and operation of production- grade AI systems . Sentinel model protecting more consumers, faster, from more hazards by using analytics to shorten time to intervention. You will own end-to-end model lifecycle engineering on Azure, advance MLOps best practices, and build AI agents using Copilot Studio and Python frameworks th

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