Machine Learning Engineer

Sthenos AI is the AI developer of EFA Group, building intelligent, mission-ready solutions for defense and aerospace. With deep expertise in Command-and-Control (C2), cyber defense, computer vision, and autonomous systems, we design and deploy secure, field-proven AI that enhances operational efficiency and situational awareness. As part of a leading European defense ecosystem, we bring scalable innovation where it matters most - in the theater of operations.As an ML Engineer (f/m/d) you actively participate in the implementation of features of next-generation AI products:

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

We Offer

• Competitive remuneration package
• Private medical insurance package
• Continuous learning & development opportunities
• Participation in cultural and team-building activities
• Exposure to a growing environment with cutting-edge technologies
• Corporate wellness initiatives