Machine Learning Engineer





ABOUT THE COMPANY:

Their platform offers SaaS solutions that enable users to effectively manage and optimize their enterprise architecture, SaaS applications, and microservices landscapes.

THEIR CULTURE:

Their culture thrives on open access to leadership, transparent communication, and personal development. With 150 engineers, they prioritize the best software stack possible. Their challenges rival those of building a search engine, demanding creativity and strong engineering knowledge.

Empowered engineering teams solve and own problems, emphasizing outcomes over output. They embrace continuous improvement and knowledge sharing through training sessions, budgets for education, mentoring, hackathons, book clubs, and meetups. They stay cutting-edge by constantly updating their tooling.

STACK:
Python, Azure ML, Fast API, Pandas, Scikit-Learn, PyTorch, Pytest, flake8, mypy, Postgres, MySQL, Github Actions, Docker, Kubernetes, Instana
Salary package
Yearly salary up to 82.000€
  Flexible work mode (80% remote)
Work-life balance
Option to bring your cat/dog to work
Personal growth 
Opportunity to be a part of Summits and meetups
Responsibilities
Contribute to and improve the team machine learning practices
Build ML models and pipelines that make our products even smarter
Implement, deploy scalable & secure Python microservices into our SaaS product landscape
Design and implement robust REST APIs
Monitor the microservices in production
Expectations
3+ years working experience in ML
Fluent in Python and the related ecosystem (PyCharm, Jupyter,...)
Experience with Python (FastAPI)
Knowledge of CI/CD and automated testing with Python
Proficiency in ML techniques and experience in model deployment
Write clean and maintainable code
Proficiency working with cloud environments, ideally Azure is a plus
Plus is knowing Golang






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