Data & ML Ops Lead

Gravis Robotics, a rapidly expanding Series A startup supported by SoftBank, specializes in developing Physical AI for the construction industry. The company transforms heavy construction equipment into autonomous robots, enabling a single operator to manage multiple machines in a gamified setting. The Data & ML Ops Lead will oversee the operational aspects of data and machine learning within this innovative environment. The main responsibilities include managing the data infrastructure and ensuring the smooth operation of machine learning models. This role involves working with the Gravis RACK, a retrofit kit that enhances excavators and wheel loaders with autonomy features, and the Slate tablet with Copilot software. The lead will also collaborate with the team to integrate custom hardware solutions for specialized applications. The ideal candidate must have a strong background in data engineering and machine learning operations. Experience with cloud platforms, particularly AWS, is essential. Proficiency in Python and familiarity with Kubernetes are also required. Knowledge of robotics and experience in a startup environment are nice-to-have skills. The role is based in Zurich, offering a dynamic and collaborative team environment with opportunities for growth. What the role asks for: - Experience with cloud platforms, particularly AWS - Proficiency in Python - Familiarity with Kubernetes - Strong background in data engineering - Experience in machine learning operations - Nice-to-have: Knowledge of robotics - Nice-to-have: Experience in a startup environment