I have partnered with a global insure tech company who are looking to hire a Senior MLOPs engineer on a permanent basis

In this role, you will be responsible for developing and extending my clients MLOps system to enable their underwriting algorithm to improve effectively and efficiently.

Requirements:

• Proven experience in MLOps or DevOps roles focused on machine learning workflows.
• Strong experience withMLFlowfor managing experiments and model lifecycle.
• Proficiency withTerraformfor infrastructure-as-code in cloud environments.
• Expertise in cloud platforms such as AWS, GCP, or Azure.
• Experience with containerization (Docker, Kubernetes) and orchestration tools.
• Strong understanding of CI/CD pipelines and automation for ML.
• Proficiency in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Please note my client cannot provide sponsorship at this time.

Please apply for immediate consideration.