Data Scientist for ML-based Systems. 150

Offer Description
Mission
- Carry out the tasks of the DOGO4ML project, to develop, operate and govern the machine learning software systems (MLSS) and their data.
Functions to be developed
- Integrate and optimize machine learning components (for exemple: for computer vision or LLM for software architecture) and test within machine learning software systems.
- Add the results of the evaluation done.
- Analyze repository mining (for exemple: Hugging Face).
- Work on the activities of the DOGO4ML project, from software integration to the presentation of research reports.
Where to apply Website
Requirements
Research Field Engineering » Systems engineering Education Level Bachelor Degree or equivalent
Skills/Qualifications
Knowledges
- Data analysis.
- Mathematical optimization.
- Repository mining on Hugging Face.
- MLOps.
- Artificial Intelligence.
- ML systems and ML optimization.
- Spoken, read and written Catalan, Spanish and English.
Technical skills
- Programming: Python, R, SQL, C++, MatLab.
Specific Requirements
Organizational skills
- Team work.
Functional Skills
- Communication skills.
Professional experience
- In participating in Data Scientist internships, or a data science competition (Hackathon), or TFG on the quality of ML components with ML optimization.
- Experience in functions similar to those described, specifically in the development of research activities, both in the university and industrial environment, will be valued.
Languages CATALAN Level Excellent
Languages ENGLISH Level Excellent
Languages SPANISH Level Excellent
Research Field Engineering » Systems engineering Years of Research Experience 1 - 4
Additional Information
Benefits
31,613.14€ per year (for full time)
Eligibility criteria
All the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process.
The CVs will be assessed according the following general criteria:
The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points.
Threshold: 5 points.
The maximum score (10 points) will be distributed as follows:
1 point for required speciality.
2 points for required academic training.
2 points for technic competences.
1 point for organisational competences.
3 points for professional experience.
1 point for any aspect of the candidates professional profile to be determined as specially relevant by the Selection committee.
If the selection committee decide to include a personal interview as additional step of the selection process, only the candidates scored 5 or above for their CV will be retained for the interview step.
The interview will be assessed according the following criteria:
Maximum scoring: 5 points.
Threshold: 3 points.
The maximum score will be distributed according the following criteria:
2 points for adequacy to functional competences of the job.
2 points for adequacy of professional experience.
1 point for any aspect of the candidates professional profile to be determined as especially relevant by the Selection committee.
The eligible candidates will be ranked from highest to lowest score, being this the selection criteria.
Selection process
The planned selection process is as follows:
Those interested must access the website where the university publishes all the offers:
select the offer that is of interest to you, click on: fill in the form and add the additional documentation indicated. * The members of the selection committee will decide for each case what the selection process will be, if an assessment is made only for the curriculum vitae or any other procedure is planned: interview, tests, etc ...
Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request.
Finally, the name of the person selected will be published on the same website where the offer is published
Work Location(s)
Number of offers available 1 Company/Institute Engineering Services and Information Systems Country Spain State/Province Catalunya City Barcelona Postal Code 08034 Street C. Jordi Girona, 1-3 Geofield
Contact State/Province
Catalunya City
Barcelona Website
Street
C. Jordi Girona, 1-3 Postal Code
08034 E-Mail
lourdes.moreno@upc.edu
STATUS: EXPIRED
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Fecha de publicación: 29/06/2024