Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Pullach im Isartal
- Working Model
- Hybrid, Onsite
Job Technologies
Your role in the team
- You will develop, train, test and deploy machine learning models in various fields (computer vision, NLP, tabular and time series data…)
- Your main task will be to investigate novel deep learning based technologies (self-supervised learning, generative AI…) and bring them to production
- Further you are responsible for setting up the MLOps infrastructure for existing and new AI products
- You will work directly with customer data and set up data pipelines to collect, curate, transform and version data
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Our expectations of you
Qualifications
- You graduated from a M.Sc. program in computer science or equivalent
Experience
- You have experience in training and deploying neural networks and have practical hands-on experience with deep learning frameworks like PyTorch and Tensorflow
- Having experience in backend and API development with Python (FastAPI, Flask) or similar is part of your profile
- You demonstrate excellent knowledge of and practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git)
- You have gained experience with cloud platforms (e.g. Azure) and Docker. Kubernetes is a plus
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Job Locations
This is your employer
Linde Aktiengesellschaft
As a leading global company in the fields of gases, engineering, and healthcare, Linde is committed to innovation and sustainability. We operate in over 100 countries and generated pro forma sales of USD 28 billion (EUR 24 billion) in 2018. Our goal is to always provide our customers with the best possible solutions.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production, Power Sector, Economy