Aktuelle Jobs im Zusammenhang mit Machine Learning Automation Engineer - Münster, Nordrhein-Westfalen - syte GmbH


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Machine Learning Automation Engineer

vor 2 Monaten


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

syte GmbH is a pioneering technology company that is revolutionizing the real estate industry with innovative digital solutions. Founded in 2021, our mission is to optimize refurbishment projects and promote sustainability and efficiency in the construction sector.

We strive to attract top talent to help us align our processes closely with our clients' needs, particularly in the field of building refurbishment. Our approach combines advanced data collection with machine learning analyses to increase efficiency and monitor comprehensive refurbishment projects.

Job Overview

We are seeking a highly skilled Machine Learning Automation Engineer to join our team. As a key member of our data science 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.

Key Responsibilities
  • Design and Implement Automated ML Pipelines: Develop and implement automated ML pipelines for data preprocessing, model training, evaluation, and deployment.
  • Collaborate with Cross-Functional Teams: 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: Develop and maintain CI/CD pipelines for machine learning projects to automate testing, deployment, and monitoring of ML models.
  • Explore and Implement Best Practices: Explore and implement best practices in MLOps, including version control, model monitoring, and performance tracking.
  • Collaborate with Data Engineering Team: Collaborate with the data engineering team to ensure the availability and quality of data for model training and inference.
  • Stay Up-to-Date with Industry Advancements: Stay abreast of the latest advancements in AI/ML technologies and automation tools to continually enhance our ML infrastructure.
Requirements
  • Strong Understanding of CI/CD Principles: Strong understanding of CI/CD principles, including experience with tools (e.g. Jenkins, GitLab CI, and GitHub Actions)
  • Experience with Containerization Technologies: Experience with containerization technologies (e.g. Docker, Kubernetes) and cloud services (e.g. AWS, GCP, Azure).
  • Proficiency in Python and ML Libraries: Proficiency in Python and familiarity with ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch)
  • Strong Expertise in Automation/Orchestration Tools: Strong expertise in automation/orchestration tools (e.g. Kubeflow, Airflow, Dagster, Dataform) and ML tracking/lifecycle tools (e.g. MLflow, Tensorboard)
  • Experience with Database Management Systems: Experience in working with database management systems (e.g. Postgres, BigQuery, Oracle)
  • Excellent Problem-Solving Skills: Excellent problem-solving skills, with the ability to work independently and in a team environment.
  • Strong Communication Skills: Strong communication skills, with proficiency in English is a must.
  • Proven Experience in Data Modeling: Proven experience in data modeling and data modeling softwares is a nice-to-have.
What We Offer
  • Competitive Salary and Benefits: Enjoy a competitive salary, comprehensive benefits package, and flexible working arrangements (including remote options).
  • Collaborative and Innovative Environment: Work with a team of passionate, skilled professionals in a collaborative and innovative environment.
  • Opportunities for Growth and Development: Experience a culture that values creativity, continuous learning, and personal growth.