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Machine Learning Engineer (w/ Python)

Location: Zürich, Switzerland
Sector: AI, Machine Learning & Robotics
Job Type: permanent
Salary: Negotiable
Reference: BBBH107594

Machine Learning Engineer (w/ Python)

Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services range from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organisational growth by attracting, assessing and placing specialised professional talent.

On behalf of our client, an innovative technology consulting company with a global reach and strong brand and values in Zürich, we are looking for a Machine Learning Engineer with proven experience in Machine Learning and Artificial Intelligence. The candidate would fit into a broader analytical team consisting of data engineers, ML DevOps and data scientists. The main role of the ML engineer is to build ML models and AI systems forming core parts of their product. The successful candidate is expected to have outstanding statistical and machine learning knowledge.

Your responsibilities:

  • Understand behavioral concepts from unstructured text
  • Recommend the actions leading to higher performance improvement
  • Personalization of the portal content
  • Build an engine to run a virtual interview with the client's respondents
  • Optimize the data collection to get high-quality data while limiting the survey fatigue

Your profile:

  • BSc in Computer Science, Mathematics or similar field; Master's degree or PhD is a plus
  • 2+ years of proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python (with various packages and extensions; Tensorflow, Keras, Scikit-learn, SpaCy, etc.) and have experience with Docker
  • Strong coding skills (clean and commented code, version control, documentation)
  • Ability to develop high-performing end-to-end ML models (data processing, feature engineering, model training, scoring, monitoring)
  • Experience with Natural Language Processing is required
  • Excellent verbal and written communication skills in English, while fluency in spoken German and French is beneficial

Have we piqued your interest? Then I look forward to your CV. If you have any questions, please contact Elisabetta Gianni at +41 44 229 99 25. Even if this position is not the right fit for you, then contact me to discuss other options. I am always looking for experienced candidates and I am very happy about receiving your CV. For an overview of available IT positions, click on the link or network with me on LinkedIn.

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