Machine Learning Automation Engineer

vor 2 Wochen


Münster, Nordrhein-Westfalen, Deutschland syte GmbH Vollzeit

syte GmbH is a cutting-edge technology company specializing in innovative real estate solutions powered by artificial intelligence. We are dedicated to revolutionizing the construction industry through sustainable refurbishment strategies and data-driven insights.

Our mission is to optimize building projects, enhance efficiency, and promote sustainability within the real estate sector. We leverage advanced data collection and machine learning algorithms to provide comprehensive project development calculations that encompass financial aspects such as rents, construction costs, tax benefits, and government subsidies for energy-efficient refurbishments.

We are seeking a talented Machine Learning Automation Engineer to join our dynamic team. In this role, you will play a pivotal part in enhancing our machine learning operations (MLOps) framework by automating ML workflows and ensuring the seamless deployment of scalable ML models.

Responsibilities
  • Design and implement automated ML pipelines for data preprocessing, model training, evaluation, and deployment.
  • Collaborate closely with data scientists and engineers to integrate ML models into production environments, guaranteeing 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.
  • Work 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 industry trends.
Qualifications
  • Strong understanding of machine learning principles and algorithms.
  • Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow).
  • Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD pipelines).
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.

If you are a passionate and skilled Machine Learning Automation Engineer eager to contribute to a cutting-edge technology company, we encourage you to apply. Join our team and make a real impact in the world of sustainable construction



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