<b>Job Title: MLOps Engineer</b><br /> <b>Duration:</b> Contract <p>About the Role</p> <p>We are seeking an experienced MLOps Engineer to build, deploy, monitor, and optimize machine learning and generative AI systems at scale. The ideal candidate will have strong experience in ML platform engineering, AI model lifecycle management, production monitoring, and LLMOps practices. You will work closely with Data Scientists, ML Engineers, Software Engineers, and Product teams to ensure reliable, scalable, and observable AI solutions in production.</p> <b>Required Qualifications</b> <ul> <li>Hands-on experience with at least one of: MLflow, Kubeflow, Amazon SageMaker, or Vertex AI.</li> <li>Experience with AI model monitoring platforms such as Arize AI, WhyLabs, Fiddler AI, or Galileo.</li> <li>Experience deploying and monitoring machine learning models in production environments.</li>...