Seniort AI/ML & Data Engineer + technical Lead (F/M)

The position to be filled

She/he will be contributing to:

• Surveying and providing feedback on technological progress in deep learning technology evolution in the domain;

• Designing and developing deep learning algorithms for EO imagery and related datasets;

• Training and deploying geo-VLM;

• Delivery of related documentation (algorithm baseline, functional analysis, …);

• Defining data requirements for the training & processing chains;

• Writing engineering documentation and technical reports in English;

• Leading and coordinating the work of a 3-person team;

• Participating in bids and proposals.

Must Have Requirements

Profile

• 5-8 years of experience in AI and data science algorithm development (preferable for satellite Remote Sensing or imagery/video data).

Technical Skills (Hard Skills)

• Experience with Deep Learning and/or simple Machine Learning techniques, attention-based architecture, foundation model (adapting, fine-tuning, evaluating and, where relevant, pre-training foundation models for Earth Observation data -Vision and Large Language models in particular);

• Proficiency in python with solid object-oriented programming practices and experience building modular, scalable pipelines;

• Strong hands-on proficiency in PyTorch;

• (familiarity with TensorFlow or other ML frameworks is an advantage);

• Hands-on experience with popular 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;

• Demonstrated experience deploying machine learning or deep learning models in production environments;

• Hands-on experience with Docker and containerized AI applications;

• Experience designing, developing and maintaining model inference APIs or services;

• Good understanding of the end-to-end machine learning lifecycle, including data preparation, training, validation, deployment, monitoring, versioning and retraining;

• Hands-on experience with GPU-based training and/or inference, HPC/Slurm;

• Practical experience with at least one production computing environment, such as cloud platforms, Kubernetes-based infrastructures or HPC systems.

Behavior skills (Soft Skills)

• Analytical, critical and proactive mind;

• Very good task prioritization and organization: ability to allocate tasks and track progress;

• Very good technical mentoring (supporting and upskilling junior profiles);

• Very good communication skills: acting as the link between the technical team and management/other departments;

• Fluency in English (spoken and written) is essential;

• High degree of autonomy and decision-making;

• Versatility: comfortable operating at a hands-on capacity while coordinating the team's work.

• 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 of 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,

❖Pleasant premises in the heart of the Luxembourg countryside,

❖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).

Eligibility for this position is limited to nationals of NATO member countries