Velocity Tech has partnered with a heavily funded tech startup who are looking for a MLOps Engineer to join their team on a permanent basis.

This opportunity is unable to sponsor visas at the moment.

Key Responsibilities:

• Design, build, and maintain scalable infrastructure for deploying machine learning models.
• Implement and manage MLFlow for tracking experiments, model management, and reproducibility.
• Use Terraform to automate and manage cloud infrastructure (AWS, GCP, or Azure).
• Collaborate with data scientists and software engineers to automate workflows, data pipelines, and CI/CD for machine learning projects.
• Ensure the reliability and availability of machine learning services in production.
• Monitor and optimize the performance of models and infrastructure in a cloud environment.
• Stay updated with the latest trends and technologies in MLOps, cloud infrastructure, and machine learning.

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.