Key Responsibilities:
* We are seeking a highly skilled MLOps Engineer to design, build, and maintain our machine learning infrastructure on cloud platforms like GCP and AWS.
* The successful candidate will develop and manage automated CI/CD pipelines for model training, validation, and deployment using tools like GitHub Actions.
* This role involves containerizing our applications and models using Docker and orchestrating them with Kubernetes for scalable model serving.
* Additionally, the engineer will optimize 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.
* The position requires implementing robust systems for model monitoring and maintenance to track performance and detect data drift.
* Closely collaborating with our AI research team is essential to streamline the transition of models from research to production within our ecosystem.
* The ideal candidate will also manage experiment tracking and versioning using tools like MLflow and DVC.
Skills and Qualifications:
* A minimum of 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:
We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence. Our team thrives on audacious goals and absolute ownership. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, we are not the workplace for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.
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.