Machine Learning Engineer (TE-CRG-GLO-2024-138-GRAP)

  • Location:
  • Salary:
    negotiable / YEAR
  • Job type:
    FULL_TIME
  • Posted:
    2 months ago
  • Category:
    Education, Engineering, Information and Communication Technology, Research and Data
  • Deadline:
    29/08/2024

JOB DESCRIPTION

Job Description

Are you a Data Scientist interested in deploying your skills in machine learning algorithms? How about working with:

• Machine learning experiments using programming languages like Python along with libraries such as TensorFlow, PyTorch, or scikit-learn;

• Writing and implementing SOTA machine learning algorithms;

• Developing federated learning software and algorithms;

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• Implementing differential privacy and homomorphic encryption;

• Ensuring efficient data flow between databases and backend systems to support machine learning initiatives, using tools like Apache Spark;

• Analyzing data to identify new use cases and derive actionable insights, employing statistical analysis, visualization for exploratory data analysis (EDA);

• Developing solutions for anomaly detection and predictive maintenance.

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More information here: https://cafein.web.cern.ch

Who we are looking for

  • Expert knowledge of Python programming language, common deep learning frameworks, and machine learning algorithms, including federated learning tools and algorithms.
  • Familiarity with anomaly detection and remaining useful life algorithms.
  • Knowledge of how linear particle accelerators work in radiotherapy would be an advantage.
  • Fluent in English, the ability to work in French would be an advantage.

Eligibility criteria:

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  • You are a national of a CERN Member or Associate Member State.
  • You have a professional background in IT, Date Science (or a related field) and have either:
    • a Master’s degree with 2 to 6 years of post-graduation professional experience;
    • or a PhD with no more than 3 years of post-graduation professional experience.
  • You have never had a CERN fellow or graduate contract before.

 

This job has expired.