Senior MLOps Engineer

Vor 2 Tagen

Munich, Bayern, Deutschland Alexander Thamm GmbH Vollzeit
About the Role

We are seeking a highly skilled MLOps Engineer to join our team at Alexander Thamm GmbH. As a key member of our Data Science team, you will be responsible for designing, implementing, and maintaining machine learning models and data pipelines.

Key Responsibilities
  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions
  • Design and implement scalable data architectures and machine learning models using cloud-based technologies
  • Develop and maintain data pipelines and workflows using tools such as Airflow and Kubernetes
  • Work with data engineers to ensure data quality and integrity
  • Contribute to the development of data science best practices and standards
Requirements
  • 4+ years of experience in DevOps or data engineering, with a strong background in data infrastructure and machine learning
  • Proven experience in leading complex projects and teams, with excellent communication and collaboration skills
  • Experience with container orchestration, cloud stacks, and infrastructure as code
  • Strong understanding of data science concepts, including data preprocessing, feature engineering, and model evaluation
  • Proficiency in programming languages such as Python and Go
  • Excellent problem-solving skills and attention to detail
What We Offer
  • A competitive salary and benefits package
  • Opportunities for professional growth and development
  • A dynamic and collaborative work environment
  • Flexible working hours and remote work options
  • A comprehensive training program and access to industry-leading tools and technologies
About Us

Alexander Thamm GmbH is a leading provider of data science and artificial intelligence solutions in the German-speaking region. We help our clients generate value from their data and stay competitive in the market. Our team of experts develops and implements data-driven innovations and business models, covering the entire data journey from data strategy to model deployment and maintenance.

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