Aktuelle Jobs im Zusammenhang mit Staff Data - Munich, Bayern - Celonis

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    vor 4 Wochen


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Staff Data

vor 2 Monaten


Munich, Bayern, Deutschland Celonis Vollzeit
About the Role

Celonis is seeking a highly skilled Staff Data & Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, building, and maintaining robust data pipelines that facilitate the ingestion, processing, and transformation of large datasets.

Key Responsibilities
  • Data Pipeline Development: Design, build, and maintain scalable data pipelines using Python to extract insights from task mining data.
  • AI-Powered Features: Develop and implement AI-powered features and applications within the Task Mining product, utilizing machine learning techniques to provide actionable insights and recommendations for process optimization.
  • Collaboration: Collaborate with other engineering teams to implement, deploy, and monitor ML models in production, ensuring their performance and accuracy.
  • Technical Leadership: Provide technical leadership and mentorship to other engineers and team members, leading design discussions, code reviews, and technical planning sessions to ensure high standards and knowledge sharing.
Requirements
  • 8+ years of practical experience in a Computer Science/Data Science related field
  • Or PhD in Data Science/AI/ML area with 5+ years of practical experience
  • Experience with building production-ready and scalable AI/ML applications in the Python ecosystem
  • Ability to optimize data pipelines, applications, and machine learning models for high performance and scalability
  • Understanding of ETL jobs, data warehouses/lakes, data modeling, schema design
  • Excellent command of SQL, including query optimization principles
  • Ability to assess dependencies within complex systems, quickly transform your thoughts into an accessible prototype, and efficiently explain it to diverse stakeholders
  • Experience with containerization and CI/CD pipelines (e.g. Docker, Github Actions)
  • Interest in learning new technologies (e.g. PQL language and Object Centric Process Mining)
  • Strong communication and collaboration skills (English is a must)
  • Able to supervise and coach mid-level and senior colleagues
  • Knowledge of Column-oriented DBMS (e.g. Vertica) and its specific features would be beneficial
  • Nice to have is knowledge in the frameworks Tensorflow, Pytorch, Langchain, FastAPI, SQLAlchemy