MLOps Engineer...

Job Description

🔥 Who We Are

At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI.

🌎 Location and Legalities

This full-time MLOps Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.

🚀 What You'll Do

As an MLOps Engineer at Ultralytics, you will build and manage the infrastructure that powers our cutting-edge AI models, from training to deployment. You will be at the heart of our operations, ensuring our machine learning lifecycle is efficient, scalable, and robust. Key responsibilities include:

• Designing, building, and maintaining our MLOps infrastructure on cloud platforms like GCP and AWS.
  
• Developing and managing automated CI/CD pipelines for model training, validation, and deployment using tools like GitHub Actions.
  
• Containerizing our applications and models using Docker and orchestrating them with Kubernetes for scalable model serving.
  
• Optimizing the performance of our Ultralytics YOLO11 models for various deployment targets, from high-performance cloud GPUs with CUDA to edge devices using frameworks like TensorRT and OpenVINO.
  
• Implementing robust systems for model monitoring and maintenance to track performance and detect data drift.
  
• Collaborating closely with our AI research team to streamline the transition of models from research to production within the Ultralytics HUB ecosystem.
  
• Managing our experiment tracking and versioning using tools like MLflow and DVC.
  
  Your work will be critical to ensuring that our state-of-the-art models are accessible, reliable, and performant for our global user base.
  
  🛠️ Skills and Experience
  
  
• 5+ years of experience in a DevOps, SRE, or MLOps role.
  
• Strong proficiency in Python and extensive experience with ML frameworks like PyTorch.
  
• Proven experience building and managing CI/CD pipelines for machine learning systems.
  
• Deep expertise with containerization (Docker) and orchestration technologies (Kubernetes).
  
• Hands-on experience with at least one major cloud provider (GCP, Azure, AWS).
  
• Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
  
• Familiarity with GPU acceleration using CUDA and model optimization for inference.
  
• Knowledge of MLOps tools for experiment tracking, and model serving such as MLflow, Kubeflow, or Weights & Biases.
  
• Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
  
  🌟 Cultural Fit - Intensity Required
  
  Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.
  
  💶 Compensation and Benefits
  
  
• Competitive Salary: Highly competitive based on experience.
  
• Startup Equity: Participate directly in our company's growth and success.
  
• Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
  
• Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
  
• Flexible Hours: Tailor your working hours to suit your productivity.
  
• Tech: Engage with cutting-edge AI projects.
  
• Gear: Brand-new Apple MacBook and Apple Display provided.
  
• Team: Become part of a supportive and passionate team environment.
  
  If you are driven to build the backbone of next-generation AI and are ready for an intense and rewarding challenge, we encourage you to apply to Ultralytics.