Machine Learning Automation Engineer

vor 14 Stunden

Münster, Nordrhein-Westfalen, Deutschland syte GmbH Vollzeit
About syte GmbH

syte GmbH is a pioneering technology company revolutionizing the real estate industry with innovative digital solutions. Founded in 2021, we have received numerous awards for our groundbreaking work, including the German AI Award 2023 and the AI Startup Award 2024. Our mission is to optimize refurbishment projects and promote sustainability and efficiency in the real estate sector.

Job Description

We are seeking a highly skilled Machine Learning Automation Engineer to join our team. As a key member of our team, you will play a crucial role in enhancing our ML operations (MLOps) framework, automating ML workflows, and ensuring the seamless deployment of scalable ML models. You will collaborate with cross-functional teams to design, develop, and maintain automated ML pipelines that support our ambitious AI projects.

Key Responsibilities:
  • Design and implement automated ML pipelines for data preprocessing, model training, evaluation, and deployment.
  • Work closely with data scientists and engineers to integrate ML models into production environments, ensuring high performance and scalability.
  • Develop and maintain CI/CD pipelines for machine learning projects to automate testing, deployment, and monitoring of ML models.
  • Explore and implement best practices in MLOps, including version control, model monitoring, and performance tracking.
  • Collaborate with the data engineering team to ensure the availability and quality of data for model training and inference.
  • Stay abreast of the latest advancements in AI/ML technologies and automation tools to continually enhance our ML infrastructure.
Requirements

Qualifications:

  • Strong understanding of CI/CD principles, including experience with tools (e.g. Jenkins, GitLab CI, and GitHub Actions)
  • Experience with containerization technologies (e.g. Docker, Kubernetes) and cloud services (e.g. AWS, GCP, Azure).
  • Proficiency in Python and familiarity with ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch)
  • Strong expertise in automation/orchestration tools (e.g. Kubeflow, Airflow, Dagster, Dataform) and ML tracking/lifecycle tools (e.g. MLflow, Tensorboard)
  • Experience in working with database management systems (e.g. Postgres, BigQuery, Oracle)
  • Excellent problem-solving skills, with the ability to work independently and in a team environment.
  • Strong communication skills, with proficiency in English is a must.
  • Proven experience in data modeling and data modeling softwares is a nice-to-have.
Benefits
  • Be part of a forward-thinking company that's making a tangible impact in real estate and sustainable development.
  • Work with a team of passionate, skilled professionals in a collaborative and innovative environment.
  • Enjoy a competitive salary, comprehensive benefits package, and flexible working arrangements (including remote options).
  • Experience a culture that values creativity, continuous learning, and personal growth.

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