What impact do you have?

• 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

What do you offer?

• 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)

Contact
Ms. Jenny Leuzinger
Head of Recruiting
Write an email
+41432118730

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