Machine Learning Engineer

3 days ago

Zagreb, Croatia beBeeMachineLearning Full time €80,000 - €120,000
Software Engineer Job Summary

We are seeking a skilled Software Engineer to join our team. The ideal candidate will have experience in designing and implementing robust MLOps and data engineering pipelines.

  • Responsibilities:
  • Set up, extend and maintain data engineering platforms to automate and scale data ingestion, annotation and versioning processes.
  • Build scalable and robust MLOps pipelines - Utilize tools like Kubeflow, MLFlow, DataRobot, Airflow, Docker, and Kubernetes to streamline model development and deployment.
  • Orchestrate CI/CD pipelines- collaborate with DevOps teams to automate the continuous integration and delivery process using GitLab CI or similar tools.
  • Containerization and deployment- containerize machine learning models and orchestrate their deployment, versioning, and monitoring.
  • Model testing and validation- develop and automate tests to ensure the quality and reliability of machine learning models.
  • Collaboration and documentation- work closely with cross-functional teams, including data scientists, data engineers, and architects. Document processes and best practices.
Required Skills and Qualifications
  • Qualifications:
  • Bachelor's degree in computer science, software engineering, or a related field.
  • Proficiency with MLOps frameworks such as Kubeflow, MLFlow, DataRobot, and Airflow.
  • Familiarity with Docker and Kubernetes, and experience with container orchestration.
  • Strong programming skills in Python and Bash. A solid understanding of Linux environments.
  • Experience with data engineering for machine learning applications.
  • Experience with software development and test automation.
  • Fluent in English with excellent communication skills.
Benefits

Join our innovative and dynamic team where you'll play a vital role in saving lives and safeguarding local and national security by harnessing the power of cutting-edge technologies.

We offer competitive compensation, creative freedom, and a fast-paced collaborative environment where your ideas and contributions truly matter.

This is an opportunity to break new ground and take on meaningful responsibility as you help develop and deploy industry-defining solutions.

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