Python Job: Senior Machine Learning Engineer

This is what you contribute

Do you want to shape the vision of noimos from a ML Engineer’s perspective?
Side by side with your new colleagues, you will develop efficient, production-ready analytical models that help drive the claims revolution.

Your new mission looks like this:

• It all starts from the business problem: you collaborate with the Product Owner and other business stakeholders to understand business needs, and design fit-for-purpose ML solutions.
• You then technically design, create, test and implement complex models (ML incl. computer vision) and end-to-end pipelines.
• At the same time, you will be responsible for managing running ML pipelines, including logging output, prioritizing and implementing bugs.
• You underpin this by writing production-ready code, following DevOps and MLOps concepts.
• You are a team player, co-defining our standards, supporting with code reviews, and discussions around common problems.

Our tech stack:

• Python and computer vision libraries (e.g., numpy, pandas, OpenCV, scikit-image)
• Frameworks associated with training and evaluation of image recognition tasks (PyTorch, TensorBoard, COCO)
• Databases (SQL)
• Infrastructure (GCP, GPU, Docker, GitHub, Actions, CI/CD)

This turns you into the perfect candidate

For a perfect start in your new team:

• You have 5+ years of experience with data science, with particular focus on Deep Learning and Computer Vision.
• Furthermore, you gained 2+ years of experience with DevOps and MLOps concepts, ideally using GitHub workflows.
• You enrich your team with strong programming skills in Python, incl. clean/modular and production-ready code.
• You are experienced in working with large data sets and in building auto-scaling ML systems & MLOps.
• Ideally, you are proficient at using GCP Vertex AI and Kubeflow.
• You have good business acumen and ability to communicate technical matters to non-experts.
• You enjoy collaborating in a diverse environment, and developing fit-for-purpose solutions together with PO’s, ML Engineers and other developers.
• You’re working in a startup spirit (all hands on deck / MVP thinking).
• You are proficient in English, German is a plus.

Benefits

5 weeks vacation

Choose your hardware

Flexible working hours

Bike room and showers

Home office / remote working 2 days per week

International team

Part time possible

Bonus payment

Air conditioning and standing desk

Convivial team events

Well-connected office

Startup culture