Deep Learning Project Engineer

Job Reference

675_24_LS_LT_RE3

Position

Deep Learning Project Engineer - MLOps (RE3)

Closing Date

Wednesday, 16 October, 2024
Reference: 675_24_LS_LT_RE3
Job title: Deep Learning Project Engineer - MLOps (RE3)

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses Mare Nostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for Euro HPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.

We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.

Context And Mission

The Language Technologies Unit at BSC has consolidated experience in several NLP areas, such as massive language model building, biomedical text mining, machine translation and unsupervised learning for under-resourced languages and domains. It has been entrusted by the Spanish and the Catalan governments to develop fundamental open-source resources and technologies for Spanish and Catalan. In connection with this, the LT Unit is currently in charge of two flagship projects at the national and regional level: the Spanish National Language Technology Plan, funded by the Spanish Secretariat of Digitalisation and Artificial Intelligence, and the AINA project, aimed at developing AI resources for Catalan, funded by the Catalan Digitalisation Department. In addition, the Unit participates in various EU-funded international projects.
The LT Unit at BSC is looking for a Deep Learning Project Engineer with experience in Language Technologies, specifically in Deep Learning and model building for tasks such as deployment, fine-tuning and evaluation of LLMs in downstream tasks.
The successful candidate will work in a highly sophisticated HPC environment, have access to state-of-the-art systems and computational infrastructures, and establish collaborations with experts in different areas both at the local and international levels.

Key Duties

- Actively participating and working alongside the project management in designing proposals, project scoping, and evaluation procedures for natural language applications and solutions based upon users, prospects and partner requirements encompassed in technical specifications.
- Utilizing several technical skills to plan enhancement of application natural language capabilities through integrations, interfaces and additional coding.
- Planning, design and implementation of evaluation of natural language platforms and applications to assess solution capabilities and to determine relevant development options to deliver impactful outcomes Technical
- English writing of project deliverables, in close collaboration with software developers.
- Monitoring and evaluating feedback from users and identification of improvement actions
- Desing and development of Po C and prototypes.

Requirements

- Education

- Ph D degree in computer sciences, engineering, computational linguistics/linguistics or equivalent.

- Essential Knowledge and Professional Experience

- Experience in project management related tasks: scoping, task planning and tracking, time-management and deliverable writing

- Demonstrated participation in international projects, preferably European FP projects and international collaboration

- Experience in project management related tasks

- Demonstrated experience with several Machine Learning and language processing platforms and libraries (e.g. GATE, UIMA, Huggingface, Spacy, Pytorch, Tensorflow, etc.)

- Demonstrated experience in the integration and evaluation of NLP tools for unstructured information exploitation.

- Demonstrated experience in language technologies related to data models and metadata schema

- Demonstrated experience in language technologies related to standard data formats and text annotation formats

- Additional Knowledge and Professional Experience

- Strong linguistic understanding of linguistic concepts related to morphosyntax, syntax and semantics

- Familiarity with statistical methods in applied natural language analysis and machine-learning

- Strong programming skills in Python, and in at least one of the following languages: Java and C++

- Strong linguistic background in annotation and development of language resources (corpora, vocabularies, lexica)

- Fluency in spoken and written English, good understanding of Catalan and Spanish; fluency in other European languages will be also valued.

- Competences

- Good communication skills

- Ability to work in a team and in a multi-cultural environment.

Conditions

- The position will be located at BSC within the Life Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: asap

Applications procedure and process

All applications must be made through BSC website and contain:

- A full CV in English including contact details

- A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.

The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.

At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment (at) bsc (dot) es.

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Deadline

The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

OTM-R principles for selection processes

BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
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