MLOps Engagement Engineer

Join Our Team as an MLOps Engagement Engineer

Nebius AI is seeking an experienced MLOps Engagement Engineer to join our dynamic team. This role is pivotal in designing, implementing, and maintaining large-scale distributed machine learning (ML) training and inference workflows. As an MLOps Engagement Engineer, you will work closely with our Solutions Architect and support team, providing hands-on expertise to our largest customers and internal teams.

Key Responsibilities

• Design and Implement Distributed ML Workflows: Develop and maintain scalable, efficient, and reliable ML training pipelines on Kubernetes (K8s) and Slurm, leveraging containerization (e.g., Docker) and orchestration.
• Optimize ML Training Performance: Collaborate with data scientists and engineers to enhance ML model training and inference performance.
• Develop Solutions Library: Design, deploy, and manage K8s and Slurm clusters for large-scale ML training, utilizing our ready-to-deploy solutions.
• Integrate with ML Frameworks: Ensure seamless execution of distributed ML training workloads by integrating K8s and Slurm with popular ML frameworks like TensorFlow, PyTorch, or MXNet.
• Monitor and Troubleshoot: Develop monitoring and logging tools to track distributed training performance, identify bottlenecks, and troubleshoot issues.
• Develop Automation Tools: Create automation scripts and tools to streamline ML training workflows, leveraging technologies like Ansible, Terraform, or Python.
• Stay Updated with Industry Trends: Participate in industry conferences, meetups, and online forums to stay abreast of the latest developments in MLOps, K8s, Slurm, and ML.

Required Qualifications

• 3+ years of experience in MLOps, DevOps, or a related field.
• Strong experience with Kubernetes and containerization (e.g., Docker).
• Experience with Slurm or other distributed computing frameworks.
• Proficiency in Python, with experience in ML frameworks like TensorFlow, PyTorch, or MXNet.
• Strong understanding of distributed computing concepts, including parallel processing and job scheduling.
• Experience with automation tools like Ansible, Terraform, or Python.
• Excellent problem-solving skills with the ability to troubleshoot complex issues.
• Strong communication and collaboration skills, with experience working with cross-functional teams.

Preferred Qualifications

• Experience with cloud providers like AWS, GCP, or Azure.
• Knowledge of ML model serving and deployment.
• Familiarity with CI/CD pipelines and tools like Jenkins, GitLab CI/CD, or CircleCI.
• Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.

Why Join Us?

Nebius AI is a leading AI cloud platform with one of the largest GPU capacities in Europe. We offer a unique opportunity to work with cutting-edge technology and a team of highly skilled engineers. If you are passionate about AI and ML and eager to tackle new challenges, we invite you to join our team.

Work Environment

This position offers a hybrid work environment, allowing you to work both on-site in our Amsterdam office and remotely. We are committed to providing a flexible work environment that supports work-life balance and professional growth.

Apply today to become a part of our innovative team and contribute to the future of AI and ML at Nebius AI.