Seniort AI/ML

The position to be filledShe/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 RequirementsProfile 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 Type
s: 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).