Machine Learning Engineer
vor 1 Woche
Come join our talented and driven team to shape our organization and the insurance industry at large.
Machine Learning Engineer Who needs your support?noimos is a Zurich-based, but globally focused, start-up harnessing the potential of ML, computer vision, and design to shake up the insurance industry and revolutionize the all-important claims process.
We are an independent subsidiary of one of the largest insurance groups in the world, AXA, enjoying many of the benefits that come along with is a small group of experienced professionals, with strong backgrounds in technology, entrepreneurship, and insurance.
The challenges we tackle at noimos are diverse, demanding, and meaningful.
This is what you contribute Do you want to shape the vision of noimos from an 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 will look as follows: It all starts with the business problem: you collaborate with the Product Owner and other business stakeholders to understand business needs and design fit-for-purpose ML solutions.
LLM and computer vision) and end-to-end pipelines.
At the same time, you will manage running ML pipelines, including logging output, prioritizing and addressing problems.
You underpin this by writing production-ready code, following Dev Ops and MLOps concepts.
You are a team player, co-defining our standards, supportive with code reviews, and discussions about common difficulties
Our tech stack:
Python and computer vision libraries (e.g., Num Py, pandas, Open CV, scikit-image)Frameworks associated with training and evaluation of image recognition tasks (Py Torch, Tensor Flow, COCO)Databases (SQL, Big Query)Infrastructure (GCP, GPU, Docker, Git Hub, Actions, CI/CD)Large Language Models This turns you into the perfect candidate You have already gained experience in Machine Learning, with a particular focus on Large Language Models or Computer Vision.
Furthermore, you have gained 2+ years of experience with Dev Ops and MLOps concepts, ideally using Git Hub 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 in using GCP Vertex AI and Kubeflow.
You're working with a startup spirit (all hands on deck / MVP thinking / the ability to communication technical matters to non-experts).
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 Very good pension fund/or solutions Well-connected office Startup culture & convivial team events
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