Data Scientist - ML Engineering (m/w/d)
- Design, prototype and develop machine learning systems, frameworks, pipelines and tools that support end-to-end predictive analytics projects and activities (training, inference & evaluation)
- Partner with data specialists to deliver initiatives and solve complex data problems efficiently
- Propose, validate and iterate on ideas that can significantly improve ML solutions, address system constraints, and optimise compute costs
- Develop performance metrics to track the performance of new ML solutions and models
- Drive continuous improvement activities incl. processes, documentation and training material
- Remain abreast of latest developments and research in the ML field
- Education: Basic or further education completed
- Experience: Work experience: 3-5 years as a Data Scientist Machine Learning Engineering
- Experience deploying data science solutions in cloud environments e.g. GCP, Azure, etc.
- Strong knowledge of ML related technologies and libraries (Azure ML, Python, Pandas, Numpy, SciKit-Learn, Keras, PyTorch, TensorFlow, CNTK, SparkML, etc.)
- Understanding of continuous integration, testing, deployment & release methodologies
- Experience with Databricks, Keras, TensorFlow, PyTorch or similar tools for data automation, and model tracking, and training
- Proficiency in Python and other coding languages such as Scala, Java, R, and C++
- Strong proficiency in T-SQL/SQL/Spark SQL as well as version control software such as Git, BitBucket, CodeCommit or similar
- Ability to work independently and effectively across projects while managing conflicting priorities
- English (C1)
Only online applications can be accepted on the applications portal.
Contact
Ms. Jenny Leuzinger
Head of Recruiting
Write an email
+41432118730
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