<p>Job Title: ML Ops Engineer</p> <p>Location: Charlotte NC</p> <p> </p> <p>Overview Tachyon Cortex Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.</p> <p> </p> <p>Key Responsibilities</p> <p> Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.</p> <p> Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).</p> <p> Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.</p> <p> Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)</p> <p> Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs</p> ...