Jan 24, 2023

Junior MLOps Engineer

Robotec.ai  is a software company that empowers the development of simulation platforms for robotics applications. Our Simulation and Robotics teams deliver ROS2-enabled, scalable simulation solutions for automotive, agriculture, manufacturing, logistics, mining & construction. Our Driver Monitoring Team provides data for training and validation of Driver Monitoring System algorithms. We believe that human centered robotics and open source are the future of sustainable growth.

We are currently working on a project aimed at synthetic dataset generation for testing autonomous driving functions. You will use modern simulation tools based on established game engines and cloud services (AWS). You will join our team in setting up MLOps as a part of the CI/CD pipeline for the autonomous driving stack.

If you want to learn more about projects you will work on in our company, check out our Case Studies or our projects on GitHub.

We are looking for an entry level MLOps Engineer.

    Requirements:

    • Student or recent graduate in Computer Science, Machine Learning, Electronics or related field
    • Experience in a typed language (e.g. Go – preferably, Java, C#, C++) and a scripting language (e.g. Python)
    • Basic experience in using AWS
    • Interest in infrastructural and operational aspect of software engineering – creation of CI/CD pipelines, DevOps methodology, containerization
    • “Get things done” attitude
    • Ability to learn and upskill rapidly.
    • Team-player mindset and good communication skills
    • Fluent English

    Additional, nice to have skills:

    • Experience in building cloud-based applications
    • Knowledge of Machine Learning concepts
    • Experience in ML Frameworks (e.g PyTorch, Tensorflow)

     

    What’s in it for you:

    • Work with the latest technologies
    • Competitive salary (up to 12 500 zł + VAT, contract of employment and mandate contract are also possible)
    • 26 paid days off on B2B contract
    • Comfortable working conditions.
    • Private medical care and sports card
    • Flexible working hours in hybrid mode / remote possible.
    • Friendly, team-oriented and non-corporate work culture.
    • More benefits coming soon!