Overview
Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto. Por favor, asegúrese de consultar la descripción a continuación con atención.
Job Reference:
407_25_ES_CES_RE1
Position:
Machine Learning Operations Engineer - MLOps (RE 1-2) – AI Factory (Earth Sciences Department)
Closing Date:
Sunday, 01 March, ****
Reference
407_25_ES_CES_RE1
Job Title
Machine Learning Operations Engineer - MLOps (RE 1-2) – AI Factory (Earth Sciences Department)
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, and is a hosting member of PRACE. It is the hosting entity for EuroHPC JU, and conducts research, development, and management of information technologies to facilitate scientific progress. BSC combines HPC service provision and R&D in computer and computational science (life, earth and engineering sciences) with over **** staff from 60 countries.
Context and Mission
The Barcelona Supercomputing Center (BSC) seeks a Machine Learning Operations Engineer (MLOps) to join the Earth Sciences department within the AI Factory initiative. The AI Factory is a European project aimed at accelerating the adoption and development of artificial intelligence across industry sectors, providing AI-focused services including training, networking, and innovation support. Its mission is to foster uptake and effective use of AI among SMEs and startups in participating countries and to strengthen the European innovation ecosystem. Services are powered by the AI-specific partition of MareNostrum5 (MN5) and AI-oriented computing technologies.
Within the Earth Sciences department, the selected MLOps Engineer will support development, deployment, and operationalization of AI services related to Earth Sciences applications, with direct scientific and societal impact. The candidate will manage integration and availability of AI software tools (developed by consortium partners or externally by third parties) on the MareNostrum5 AI partition, ensuring compatibility, performance, and scalability of AI workloads and providing technical support to the AI Factory user community. The role involves collaboration with researchers, developers, and system administrators to streamline workflows, automate deployment pipelines, and maintain robust, reproducible AI environments using MLOps best practices.
Key Duties
Manage and maintain AI software stacks and tools on the MN5 supercomputer.
Support the deployment and scaling of AI workflows for users, particularly in environmental applications.
Collaborate with the group and consortium members, as well as external developers, to integrate new software tools and ensure compatibility.
Develop and maintain CI/CD pipelines and containerization workflows (e.g., Docker, Singularity).
Optimize MLOps workflows, including model versioning, monitoring, lifecycle management, and troubleshooting.
Requirements
Education
Bachelor's or Master's degree in computer science, artificial intelligence or similar
Essential Knowledge And Professional Experience
Solid experience in MLOps, DevOps, or a related software engineering role.
Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch) and tools for workflow orchestration.
Strong knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience in scaling generative models and deploying them in production environments.
Competences
Experience working in HPC or cloud-based environments will be valued.
Familiarity with climate science datasets is desirable.
Good communication skills and the ability to work in an international, multidisciplinary team.
Fluency in spoken and written English.
Conditions
The position will be located at BSC within the Earth Sciences Department. We offer a full-time contract (37.5h/week), a good working environment, state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, and relocation support.
Duration: Open-ended contract due to project and budget duration
Holidays: 22 days + 6 personal days + 24th and 31st of December
Salary: Competitive salary commensurate with qualifications and experience
Starting date: As soon as possible
Applications procedure and process
All applications must be submitted via the BSC website and include:
A full CV in English including contact details
A cover/motivation letter with a statement of interest in English, specifying areas and topics of interest
Two references for further contacts
Applications without these documents will not be considered
Development of the recruitment process
The selection is carried out through a competitive examination system (Concurso-Oposición).
The Recruitment Process Consists Of Two Phases
Curriculum Analysis: Evaluation of experience, degree, training, and other relevant information. 40 points.
Interview phase: Technical competencies, knowledge, skills, and personal competencies. 60 points.
A minimum of 30 points out of 60 must be obtained to be eligible. The recruitment panel includes at least three people with at least 25% representation of women and follows Open, Transparent and Merit-based Recruitment (OTM-R) principles. Interviews include technical and administrative components, a personality questionnaire, and a technical exercise. Feedback will be provided to all interview participants. The organization seeks continuous improvement in recruitment processes. For suggestions or complaints, contact the provided address. Deadline: The vacancy remains open until a suitable candidate is hired. Applications are regularly reviewed.
OTM-R principles and equal opportunity statement are observed. xsgfvud BSC-CNS is committed to diversity and inclusion and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other protected status.
#J-*****-Ljbffr
#J-18808-Ljbffr