Job
- Level
- Experienced
- Location
- Bonn
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, Support
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will assist users in leveraging machine learning models and data, addressing technical queries, providing support for HPC infrastructure, and developing processes for continuous improvement.
Job Technologies
Your role in the team
- ECMWF is opening an exciting new position for Computing and Software Support Specialist (A2) in the User Services Section in the Forecast Department of ECMWF.
- In this role you will support users working with our machine learning models and data.
- The Computing and Software Support Team provides technical advice and support to all users of ECMWF software and computing, including Member and Co-operating States, ECMWF users and public users.
- As part of a team of ten staff you will provide day-to-day 2nd line user support and work on continuous improvements of our services, processes and documentation.
- With a growing user community and constant evolution in technologies we are looking for a dedicated individual with a genuine interest in helping others make the most of ECMWF's software, data and platforms.
- The recent rise in machine learning for numerical weather prediction has brought new ways of working with software, data and computing, which in turn comes with a need for outstanding support processes.
- Provide day-to-day computing and software support services, working with colleagues to respond to user queries and resolve technical issues.
- Provide technical advice and support to users of ECMWF machine learning models and their output data, helping users access and make use of ML models, products and datasets.
- Provide specialised expertise and user support in the use of DestinE and ECMWF HPC computing infrastructure and software for machine learning, with a particular focus on the Anemoi software framework.
- Review, improve and develop support processes and workflows for users and developers within ECMWF Machine Learning (ML) projects such as the DestinE Initiative and Member States' ML Pilot Project.
- Contribute to the creation and maintenance of documentation and self-service resources for users of ECMWF machine learning services.
- Collaborate closely with other teams in the section and other departments, representing the viewpoint of users of new and existing ML services, including AI forecast model upgrades.
Our expectations of you
Education
- An advanced university degree or equivalent professional experience, in a relevant field.
Qualifications
- Excellent analytical and problem-solving skills, with the ability to investigate complex technical issues and identify practical solutions.
- Take ownership of issues and follows through to deliver practical outcomes.
- Excellent communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- Outstanding interpersonal and collaboration skills, with the ability to work effectively across teams, departments and external organisations.
- A hands-on approach, with the willingness to engage directly in technical investigations, testing and implementation activities where appropriate.
- Interest in new technologies and innovative approaches, including AI-assisted support, knowledge management and digital service delivery.
- Ability to manage multiple priorities and work effectively in a dynamic environment.
- Knowledge of software and environment management and basic Linux system administration is essential.
- Knowledge of a modern scripting language such as Python is required.
- Knowledge of compiling and running scientific codes on high-performance computing facilities would be an advantage.
- Knowledge of data formats commonly used in meteorology, such as GRIB, BUFR or NetCDF is desirable.
- Candidates must be able to work effectively in English.
- A good knowledge of one of the Centre's other working languages (French or German) is an advantage.
Experience
- A genuine interest in helping users succeed and improving their experience.
- Experience in providing user support for computing, data and software services in a Linux or Unix environment is required.
- Experience in handling user queries and incidents with professionalism leading to successful resolution is required.
- Experience in working with, and providing support for, machine learning workflows and tools is required.
- Experience in HPC and/or GPU technologies is desirable.
- Experience in providing technical training to users is desirable.
- Experience in at least one deep learning framework such as PyTorch, Tensorflow, JAX is required.
- Experience with machine learning workflows, including data preparation, training and inference is required.
What we offer
- The successful candidates will be recruited according to the scales of the Co-ordinated Organisations.
- In addition to basic salary, ECMWF also offers an attractive benefits package.
- Information about working with us and full details of salary scales and allowances are available on the ECMWF website.
- Starting date: As soon as possible.
- Location: Reading, UK or Bonn, Germany (Candidates are expected to relocate to the duty station).
- As a multi-site organisation, ECMWF has adopted a hybrid organisation model which allows flexibility to staff to mix office working and teleworking.
- We allow for remote work 10 days/month away from the office, including up to 80 days/year away from the duty station country (within member states and co-operating states).
- Interviews by videoconference (MS Teams), will be conducted in English and are expected to take place soon after the closing date.
- Successful applicants and members of their family forming part of their households will be exempt from immigration restrictions.
Topics You Will Work On
Job Locations
About Your Employer
ECMWF
ECMWF (European Centre for Medium-Range Weather Forecasts) is an independent intergovernmental organization based in Reading (UK) with additional locations in Bologna (Italy) and Bonn (Germany). The institute serves as a research center and 24/7 operational service for global weather forecasting.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Computing and Software Support Specialist
- Location
- Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
