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Data/ML Engineer for Regional AI Weather/Climate Forecasting Datasets

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BSC seeks a Data/ML Engineer to join its Computational Earth Sciences group, supporting the EU's Destination Earth initiative to build AI-ready datasets and data pipelines for regional weather and climate forecasting. The role involves curating high-resolution simulation and observational data, designing reproducible ML data pipelines compatible with open-source frameworks like Anemoi, and validating them on HPC and AI Factory infrastructure. Candidates need strong Python, data-processing/ETL, and HPC experience, plus familiarity with scientific data formats and preparing datasets for machine-learning training.

Key Highlights
Join the Barcelona Supercomputing Center's Computational Earth Sciences group and contribute to the EU's Destination Earth (DestinE) flagship programme.
Design, build, and maintain reproducible ML data pipelines that transform raw simulation and observational data into AI-ready, Anemoi-compatible datasets.
Work on high-performance computing (HPC) and AI Factory infrastructure in collaboration with an international consortium of European meteorological and research institutions.
Key Responsibilities
Curate and assess regional analyses, forecasts, and reanalyses for training and evaluating the regional AI forecasting system.
Design, build, and maintain reproducible ML data pipelines that transform raw simulation and observational data into Anemoi-compatible datasets.
Implement automated testing and CI/CD pipelines for the data-processing workflows.
Support deployment and validation of data pipelines on HPC and AI Factory infrastructure, including scalability and performance testing.
Collaborate with the international consortium and document pipelines to ensure reproducibility and traceability.
Technical Skills Required
Python ETL Pipelines High Performance Computing (HPC)
Benefits & Perks
Full-time contract (35h/week) with open-ended duration
Competitive salary commensurate with experience and Barcelona cost of living
Flexible working hours and extensive training plan
Private health insurance and restaurant tickets
Support with relocation procedures
22 holiday days + 6 personal days + 24 and 31 December off
Nice to Have
Familiarity with the Anemoi ecosystem (anemoi-datasets, anemoi-training) or similar ML-ready NWP dataset frameworks.
Knowledge of NWP/reanalysis datasets (e.g. ERA5, CERRA, regional model output) and data-quality assessment.
Experience with CI/CD tools, containerization (Docker/Podman), and automated testing.
Experience with version control systems like Git.
Proficiency in Spanish and other European languages.

Job Description

Job Reference421_26_ES_CES_RE2PositionData/ML Engineer for Regional AI Weather/Climate Forecasting Datasets (RE1-2)Closing DateThursday, 22 October, ****Reference:421_26_ES_CES_RE2Job title:Data/ML Engineer for Regional AI Weather/Climate Forecasting Datasets (RE1-2)About BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.
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