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