May 20, 2022

Machine Learning Engineer / MLOps

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.

Requirements: 

  • University degree in a related field e.g.: Computer Science, Electrical Engineering, Machine Learning, Computer Vision, Applied Physics or Robotics
  • Strong software engineering skills with Python
  • Good understanding of machine learning
  • DevOps experience implementing Continuous Integration / Continuous Delivery pipelines
  • Experience working with MLOps tools (e.g., MLflow, Kubeflow, Amazon SageMaker)
  • Experience in using AWS services for machine learning, cloud infrastructure & services, monitoring, logging and alerting tools
  • Proficiency with Docker
  • “Get things done” attitude
  • Ability to learn and upskill rapidly
  • Team-player mindset and good communication skills
  • Self-motivation and sense of ownership
  • Genuine interest with robotics, computer simulation and/or autonomous vehicles
  • Fluent English

Additional – nice to have skills: 

  • Experience with cloud-native Kubernetes services (e.g., Amazon EKS, GKE, AKS)
  • Familiarity with data related Python libraries and frameworks such as TensorFlow, PyTorch, Numpy, Pandas and Matplotlib

 What’s in it for you: 

  • Work with the latest technologies
  • Opportunity to contribute to open source
  • Competitive salary (up to 23 000 zł on B2B, contract of employment is 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 and team-oriented culture
  • More benefits coming soon!