Machine Learning Workflow Engineer

20 hours ago


Remote Warsaw, Czech Republic GetInData | Part of Xebia Full time

As a Machine Learning Workflow Engineer at GetInData | Part of Xebia, you will play a crucial role in developing and optimizing machine learning pipelines. Our team is dedicated to streamlining project lifecycles by designing and automating workflows, implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking.

Responsibilities
  • Design and automate machine learning workflows to enhance data processing and model deployment efficiency
  • Collaborate with stakeholders and platform engineers to establish infrastructure requirements for MLOps processes
  • Implement CI/CD pipelines using tools like Airflow, Kedro, and Kubernetes to ensure seamless model integration and deployment
  • Optimize ML pipelines to improve performance, scalability, and maintainability
  • Propose new approaches and take initiative to enhance existing workflows and processes
Requirements

We are looking for an experienced professional with strong proficiency in Python, NumPy, Pandas, SQL, Git, Docker, and Google Cloud Platform (GCP). Knowledge of Airflow, Kedro, and Kubernetes is highly desirable.

You should have excellent communication skills, be able to collaborate effectively with cross-functional teams, and demonstrate a passion for innovation and continuous learning.

Benefits

We offer a competitive package that includes:

  • Sport subscription
  • Private healthcare
  • Flat structure with small teams
  • International projects
  • Team Events
  • Training budget
  • Free coffee
  • Gym
  • Bike parking
  • Playroom
  • Free snacks
  • Free beverages
  • In-house trainings
  • Startup atmosphere
  • No dress code
  • Kitchen

This is an exciting opportunity to join our dynamic team and contribute to the growth and success of GetInData | Part of Xebia.



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