Machine Learning Engineer

Your responsibilities

We are seeking to hire Machine Learning Engineer (f/m/d) who has an ambition to understand, question, & shape our ML-based services and will work closely together with our data scientist. You will help us to improve the design of AI systems (classical ML & LLMs) and to draft and build new solutions. To thrive in our fast-paced environment you will contribute to our efforts in Data Science and Machine Learning Engineering, able to work across teams to help everyone work together effectively.

Your profile

• 3+ years of experience in Backend, DevOps, APIs, Databases, Docker
• Bachelor's degree in Computer Science or a related field
• Proficiency in production-level Python, including familiarity with Python web frameworks, particularly FastAPI
• Knowledge of ML-engineering & LLM solutions
• Experience with LLM-related packages, such as PyTorch, Transformers etc.
• Knowledge of building and using model management tools (e.g. mlflow) with MLOps (model orchestration, updating, etc.) will be a plus
• Agile mindset and a solution-driven approach to problem-solving
• Fluent in written and spoken English

We offer:

Shape the future
Have a direct impact on the electronics industry with our agile and international team.

Feel welcome
Enjoy our startup atmosphere including free lunches in the office canteen and experience our unique coffee culture. Get to know the CELUS team at regular team events and our annual company offsite

Commute freely
Modern, central location, free metro tickets, free charging for your electric car and free parking.

Learn and develop
Improve your skills with our learning platforms, English/German language classes, trainings and conferences with a yearly budget up to 1000 EUR. Develop your stamina and endurance with an EGYM Wellpass membership.

Decide where and when you work
Enjoy hybrid office environment, flexible working schedule, workation program, additional paid Christmas week holiday.

Relocate easily
Start swiftly and smoothly with our relocation allowance and adaptation program