Cloud MLOps Engineer

Are you experienced in cloud operations and machine learning with over 3 years in the field? Eager to advance AI-driven robotics? Join Gauss Robotics to apply your skills in our cloud-based ML ecosystem and transform the ML landscape!

Tasks

• Collaborate with software engineering and data science teams to deploy and manage machine learning models in cloud environments
• Design ETL/ELT pipelines for robotics data
• Implement and maintain automated pipelines for model training, testing, and deployment
• Monitor and optimize model performance, scalability, and reliability in production
• Troubleshoot issues related to ML workflows, data pipelines, and cloud infrastructure
• Stay up-to-date on industry best practices and tools in MLOps to improve efficiency and effectiveness

Requirements

• Cloud Platforms: AWS, Azure
• Tools: MLflow, Kubeflow, Airflow, Kedro, Ansible, GitHub, Docker, K3s, K8s, Prometheus, Grafana
• ML Frameworks: PyTorch, TensorFlow, Scikit-learn, JAX
• Programming Languages: Python and one of {Rust, C, C++} along with SQL and shell scripting
• Additional Proficiencies: ML cloud architecture patterns, model evaluation and monitoring, metadata management

If you're curious about contributing to our mission but may not meet all the listed criteria, we encourage you to apply nonetheless.

Benefits

• Learn on: Access free courses through learning platform
• Choose your Weapons: Select your preferred device/OS; we support your requirements to optimize productivity
• Work Flexibly: Tailor your work schedule and environment to align with our mission
• Stay Mobile: Choose from various commuting solutions, including Jobrad/bike leasing or public transportation tickets
• Look after you: Prioritize self-care with flexible gym memberships or explore capital-building benefits. Plus, enjoy daily servings of fresh fruit and soft drinks to boost your energy level.