Asap 2-3 years of experience

The company

adwäisEO is a fast-growing company, leader in the sector of it services related to the Space Ground Segment. Its clients are Space Agencies (i.e. ESA and Luxembourg Space Agency), public space organization (i.e. Mercator, Copernicus) and private companies.

Among our projects (non-exhaustive list):

• the biggest Copernicus/Sentinel collaborative ground segment of Europe (www.collgs.lu), i.e. the data center of the Luxembourg Space Agency LSADC,
• the Data Archival, Management and Processing Services DAMPS (www.damps.info) for the ACRI-ST mother company on behalf of the European Space Agency ESA a service that covers together the 80 % of ESA EO data, the systematic production of Sentinel-3A data and the reprocessing of Sentinel 2 so far, the biggest reprocessing of the history for ACRI-ST then ESA, the reformatting of all ESA EO data in cloud-optimized format and their distribution on the Destinee digital platform @OVH, and the implementation of an AI-based EO application platform using resources of the Luxembourg HPC Meluxina.

The company owns a relevant infrastructure with reference disk storage capacity of 80PB, tape storage capacity of 200 PB, and a computing cluster with almost 1.2 Petaflops capacity. To meet the needs of our clients the infrastructure hosts multiple kinds of environment ranging from
dedicated HPC solutions to multi-hybrid cloud solutions.

The position to be filled
adwäisEO SA is looking for a talented AI Engineer to join its data team and support innovative Earth Observation data valorization. The AI Engineer role is centered around the survey, design, development and optimization of state-of-the-art machine learning and deep learning algorithms (i.e..GEO-FM/VLM/LLM,…) to enhance current workflow on EO imagery processing and environmental dataset and metadata generation. The candidate will work on the development of deep learning and AI processes to support the generation of innovative new data derived information. The activities will include the development of advanced models and pipelines such as foundation model for EO data, Vision transformers and attention-based architecture for multimodal dataset and scalable workflows leveraging High-Performance Computing (HPC).

She/he will be contributing to:

• Survey of and feedback on technological progress in the deep learning and machine learning technology evolution in the domain,
• Design and development of deep learning algorithms for EO imagery and related datasets
• Development of related documentation (Algorithm baseline, functional analysis)
• Definition of data requirement for processing chain.
• Writing engineering documentation and technical reports in English.
• Participation to the Bids and proposals.

Must Have Requirements

Profile

• 2-3 years of experience in deep learning and algorithm development (preferable for Remote Sensing or imagery/video data).
Technical Skills (Hard Skills)
• Experience with Deep Learning and/or Machine Learning techniques, attention-based architecture, foundation model, Vision and Large Language models in particular.
• Proficiency in python with solid object-oriented programming practices and experience building modular, scalable pipelines.
• Hands-on experience with popular deep learning frameworks (pytorch, tensorflow), specialized libraries (rasterio, xarray, geopandas, terratorch)
• Familiarity with Linux environments.
• Knowledge of Rest API for querying EO data repositories (e.g. STAC), with expertise in creating, validating, and maintaining robust training datasets.

Behavior skills (Soft Skills)

• Analytical, critical and proactive mind.
• Fluency in English (spoken and written) is essential.
• Very good organizational quality required.
• Very good communication skills.
• High degree of autonomy.

Being considered as a plus:

• Knowledge of other programming or coding languages such as IDL, C, C++.
• Experience with physical modelling (e.g. hydraulic, hydrology, crop, …)
• MLOps Skills (Docker, microservices)
• Experience with HPC, distributed training, or GPU-accelerated computation.
• Knowledge on Satellite data processing
• PostDoc in Remote Sensing or ML.

What we offer

• A professional, stimulating and human working environment in IT & Earth Observation Data
• sector based on proximity management,
• A real possibility of evolution depending on your involvement in your work,
• Lunch vouchers,
• Supplementary Health insurance,
• Bonuses,
• Canteen,
• Fitness room + shower,
• Pleasant premises in the heart of the Luxembourg countryside,
• Free car park

Why Join Us?

• Be part of innovative projects with strong impact in high-tech and strategic sectors.
• Work in an agile, ambitious environment at the heart of a fast-growing industry.
• Contribute to the development of cutting-edge solutions and help shape the future of our
• business.
• Join a dynamic and passionate team, committed to excellence and continuous improvement.

Other information

Starting date: as soon as possible
Workplace: Betzdorf (Luxembourg)
How to apply: Interested? sent CV, motivational letter to jobs@adwaiseo.eu
Job Types: Full-time, Permanent
Working from home: Remote working days are offered in line with current regulations (up to 34 days per year
Salary: depending on experience (The salary includes benefits, excluding exceptional bonuses).