Sthenos

As an ML Engineer (f/m/d) you actively participate in the implementation of features of next-generation AI products: 

• You make the Data Science Models and A.I. initiatives production-ready and support or even overtake the monitoring and troubleshooting of the productive models 

• Ensure data quality, integrity, and security in the developed A.I. products. 

• In close collaboration with the Data Scientists, you design data profiling mechanisms, implement data processing workloads and provide reusable components  

• You maintain and develop further the analytics platform of the company by proposing and implementing new tools and services 

• You take responsibility over the productive models in the sense of ML-Ops 

• You build CI/CD pipelines for a fast and revision-compliant provisioning of the data products 

• You participate in internal and external Meetups and Conferences, in order to share your achievements with other fellow engineers 

YOUR SKILLS 

• Graduate degree in Computer Science, Statistics, Informatics or another quantitative field 

• Strong proficiency in Python and its libraries (e.g., Pandas, NumPy) 

• Proven track record in the development of data processing workloads with the help of modern data processing frameworks like Spark or Azure Fabric 

• Experience working with various data storage formats (e.g., Parquet, Avro, ORC, JSON, CSV) and knowledge of the pros and cons of each one 

• First professional or academic experience with data processing frameworks like Spark or Ray 

• Strong interest in following the end-to-end development of AI products including its operations 

• Ideally, experience in designing and implementing APIs 

• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) is advantageous