**Job Reference**:
- 530_24_LS_LT_RE3-T2
**Position**:
- Team leader MLOps Language Technologies - (RE3_T2)
**Closing Date**:
- Thursday, 02 January, 2025
**Reference**: 530_24_LS_LT_RE3-T2
**Job title**: Team leader MLOps Language Technologies - (RE3_T2)
**About BSC**
- The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, 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 EuroHPC 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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**Context And Mission**
- The Language Technologies Unit at BSC has a 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 government, with the mission to develop fundamental open-source resources and technologies for Spanish and Catalan. In connection with this, the LT Unit is currently in charge of three flagship projects at the national and regional level: the Spanish National Language Technology Plan and ILENIA 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.
**Key Duties**
- Manage a team of MLOps engineers to build and maintain internal tools.
- Take ownership of the internal product roadmap to ensure continuous delivery.
- Design and implement ML model continuous integration, continuous deployment and continuous monitoring processes for production.
- Develop and maintain CI/CD pipelines for ML models.
- Configure and automate ML model deployment, monitoring and scaling in production.
- Implement monitoring and logging of ML models.
- Identify areas of improvement in ML model lifecycle.
- Collaborate with data engineers and ML engineers to select best ML model architectures and hyperparameters.
- Ensure the accessibility of the open software, and the replicability of their deployment via containers based architectures.
- Maintain the code infrastructure as open source repositories.
- Auditing the quality of the work submitted by providers, external collaborators.
- Mentoring junior members of the team
**Requirements**:
- Education
- Bachelor’s degree in Computer Science, Information Technology or related field.
- Having a Master’s degree or a PhD will be valued
- Essential Knowledge and Professional Experience
- Demonstrated experience of at least 2 years in leading engineering teams in the relevant areas.
- In-depth knowledge of Linux/Unix systems.
- Demonstrable experience with Kubernetes, Docker, or other comparable containerization
- Demonstrable experience of automating tasks via Python, bash or other scripting tools
- Hands-on experience with Automation/DevOps tools (such as Github Actions, Gitlab, Jenkins, Ansible etc.)
- Strong knowledge of provisioning methods via tools such as Terraform and Helm
- Strong knowledge of ML model development and deployment tools
- Experience with cloud technology; AWS, Azure/GCP or OpenStack.
- Experience with monitoring and logging tools such as ELK, Prometheus, Grafana, etc.
- Additional Knowledge and Professional Experience
- Good knowledge on security best practices.
- Native or good level of spoken and written English and Spanish.
Catalan will be a plus.
- Competences
- Ability to work independently and in a team to complete tasks on schedule.
- Ability to work under set deadlines.
**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, adaptable 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 agre