Data Manager for Machine Learning Datasets

5 days ago

Reading, Reading, United Kingdom ECMWF Full time
About the Role

We are seeking a highly skilled Data Manager to join our team at ECMWF. As a Data Manager, you will play a key role in the management of training datasets for machine learning models, including the AIFS. You will be responsible for managing machine learning datasets for ECMWF activities, such as operational configurations, Destination Earth applications, and ECMWF's Member and Co-operating State undertakings.

You will work closely with users inside and outside of ECMWF, understanding the requirements for new datasets, and life-cycle management and curation of datasets between HPC systems across Europe. This is an exciting opportunity to work with a world-leading organisation in weather and environmental forecasting.

Key Responsibilities:

  • Manage and support the data handling requirements of ML applications.
  • Taking the responsibility for relevant elements in terms of creating, storing and serving of datasets to be used for machine learning applications, in close collaboration with ECMWF ML experts and with experts in ECMWF's Member and Cooperating States.
  • Collaborate with research and technical teams at ECMWF on ML developments, including the gathering of future requirements, producing projections of usage and performing resource capacity planning.
  • Act as Data Governance (DGov) facilitator for matters related to machine-learing, working collaboratively with ECMWF's existing DGov Facilitators and building expertise in the data format standards involved.
  • Act as Data Curator for ML datasets, with emphasis on the maintenance of catalogues and ensuring data accuracy and completeness.

Requirements:

  • Excellent interpersonal and communication skills are vital, to communicate with a wide range of technically skilled colleagues at ECMWF and in partner organisations, also to non-technical staff.
  • Dedication and enthusiasm to work as part of a team, taking initiative to work collaboratively with other team members and project partners.
  • Ability to at times work independently, but to know when it is important to seek advice.
  • Excellent analytical and problem-solving skills with a proactive continuous improvement approach.
  • Ability to work with precision and care and having a good awareness of the need to test thoroughly and document changes appropriately.
  • Ability and willingness to collaborate with internal and external experts on related aspects of governance and exchange of data for machine learning applications.
  • Active listener who seeks and respects the views of others.
  • Highly organised with the capacity to work on a diverse range of tasks to tight deadlines.
  • Flexibility, with a willingness to adapt plans if partner organisations work at different paces, and if priorities shift over time.
  • Candidates must be able to work and communicate effectively in English.

Education and Experience:

  • An advanced university degree (EQF Level 7 or above) or equivalent professional experience is required.
  • Experience curating large datasets (terabytes to petabytes) required.
  • Programming skills in Python and/or scripting languages in a UNIX/Linux environment required.
  • Experience handling scientific data formats in High Performance Computing environments is desirable.
  • Experience of working collaboratively on software development projects is desirable.

Knowledge and Skills:

  • Experience working in a scientific environment.
  • Experience working in a High Performance Computing environment.
  • Familiarity with big-data analytics, cloud technologies and machine learning fundamentals.
  • An understanding of numerical weather prediction or meteorological applications.
  • Knowledge of standardised data formats for international exchange.

What We Offer:

  • A competitive salary and benefits package.
  • The opportunity to work with a world-leading organisation in weather and environmental forecasting.
  • A dynamic and supportive work environment.
  • The chance to work on exciting and challenging projects.

How to Apply:

Applicants are invited to complete the online application form by clicking on the apply button.

ECMWF is an equal opportunities employer and welcomes applications from all qualified candidates.

For more information about ECMWF and the role, please visit our website at https://www.ecmwf.int/en/about/jobs.

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