AI Developer for Intelligent Systems

2 days ago

Zagreb, City of Zagreb, Croatia beBeeDataEngineering Full time €60,000 - €80,000
Machine Learning Engineer for Data Engineering

We are seeking a talented Machine Learning Engineer to join our team and play a key role in designing and implementing robust data engineering pipelines for real-world impact.

The successful candidate will have expertise in setting up, extending, and maintaining data engineering platforms to automate and scale data ingestion, annotation, and versioning processes.

  • Set up and maintain data engineering platforms to automate and scale data ingestion, annotation, and versioning processes
  • Build scalable and robust machine learning 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

Responsibilities also include collaboration and documentation. The selected candidate will work closely with cross-functional teams, including data scientists, data engineers, and architects, and document processes and best practices.

Requirements

Required Qualifications:

  • Bachelor's degree in computer science, software engineering, or a similar discipline
  • 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

Preferred Qualifications:

  • Master's degree in computer science, software engineering, or a similar discipline
  • Experience in computer vision field and large-scale visual data management
  • Experience in using AWS, Microsoft Azure, or Google Cloud Platform services
  • Experience with CI/CD tools such as Jenkins
  • Knowledge of popular machine learning frameworks such as PyTorch, TensorFlow, Keras, and scikit-learn
Benefits

Join us on a mission to harness the power of cutting-edge technologies and make a meaningful impact. We offer creative freedom, competitive compensation, and a fast-paced, collaborative environment where your ideas truly matter.

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