MSENSIS S.A., within the framework of the implementation of the Project titled “Semantic Text-to-SQL Conversion with Continuous Learning – SETSQL” (Project Code: ΕΚΠΑΡ01-0076175), which has been integrated into the Action “RESEARCH – INNOVATE” under the “Competitiveness 2021-2027” Programme, co-financed by the European Union, invites interested parties to express their interest for a fixed-term project-based contract.

1. Position Description

  • Job Title: Machine Learning Engineer
  • Type of Employment: Fixed-term Project Contract
  • Duration: 18 months, with the possibility of extension until the end of the project.
  • Scope of Work: Design, development, and optimization of machine learning algorithms within the framework of the project’s research work packages.

2. Qualifications
Required Qualifications:

  • University Degree in Computer Science, Engineering, or a related field in Science.
  • Proven experience in programming languages (e.g., Python, R).
  • Experience in using ML/DL libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Excellent command of the English language.
  • Desired Qualifications (To be considered):
    • Master’s or PhD degree in a field related to Artificial Intelligence.
    • Knowledge of Big Data technologies or Cloud infrastructures.

3. Required Documents

Interested candidates are invited to submit:

  • A detailed Curriculum Vitae (CV).

4. Submission Method

Applications and supporting documents must be submitted exclusively via email to: Email: info@msensis.com Email Subject: Application for Machine Learning Engineer position – RESEARCH-INNOVATE Action

5. Evaluation Process & Contact

The evaluation of candidacies will be carried out by a competent committee of the company. Candidates who meet the required qualifications may be invited for an interview.

For further information or clarifications, interested parties may contact:

This call is published as part of the Action “RESEARCH – INNOVATE” of the “Competitiveness 2021-2027” Programme, co-financed by the European Union (European Regional Development Fund).