Senior AI/ML & Data Engineer & Technical Lead (m/f)

About the role

The position to be filled - These positions are reserved for nationals of NATO member countries. adwäisEO is looking for an experienced AI & Data technical lead to define and drive the technical strategy of its data team to support the innovative valorization of Earth Observation (EO) data, and to carry out projects as a project manager, expert, developer, or operator within a small team of 3 people integrated into a larger team composed of the teams of sister companies. The role is centered on the study, design, development, optimization, and deployment of state-of-the-art machine learning/deep learning algorithms as well as the training and deployment of generative AI models (geo-VLM) to improve the current workflow on EO imagery processing and analysis. The candidate will work on the development of deep learning and AI processes to support the generation of new innovative information derived from data. Activities will include the development of advanced models and pipelines such as foundation models for EO data, vision transformers, and attention-based architecture for multimodal datasets and scalable workflows leveraging high-performance computing (HPC). He/she will contribute to: • Study and feedback on technological progress in the evolution of deep learning and machine learning technologies in the field, • Design and development of deep learning algorithms for EO imagery and associated datasets • Development of associated documentation (algorithm baseline, functional analysis) • Definition of data requirements for the processing chain. • Drafting of technical documentation and technical reports in English. • Participation in tenders and proposals. Essential Requirements Profile • 5 to 8 years of experience in AI algorithm development and data science (preferably 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 (adaptation, fine-tuning, evaluation, and, where applicable, pre-training of foundation models for Earth Observation data - Vision and large language models in particular); • Proficiency in Python with strong object-oriented programming practices and experience in building modular and scalable pipelines; • Strong practical mastery of PyTorch; (familiarity with TensorFlow or other ML frameworks is an advantage); • Practical experience with popular specialized libraries (rasterio, xarray, geopandas, terratorch); • Familiarity with Linux environments; • Knowledge of Rest API to query EO data repositories (e.g., STAC), with expertise in creating, validating, and maintaining robust training datasets; • Demonstrated experience in deploying machine learning or deep learning models in production environments; • Practical experience with Docker and containerized AI applications; • Experience in designing, developing, and maintaining APIs or model inference services; • Good understanding of the full machine learning lifecycle, including data preparation, training, validation, deployment, monitoring, versioning, and retraining; • Practical 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. Behavioral Skills (Soft Skills) • Analytical, critical, and proactive mindset; • Very good prioritization and organization of tasks: ability to allocate tasks and track progress; • Very good technical mentoring (support and upskilling of junior profiles); • Very good communication skills: acting as the link between the technical team and management/other departments; • Proficiency in English (spoken and written) is essential; • High degree of autonomy and decision-making; • Versatility: comfortable operating in a hands-on capacity while coordinating team work. Considered a plus: • Knowledge of other programming or coding languages such as IDL, C, C++; • Experience with physical modeling (e.g., hydraulics, hydrology, crops, …); • MLOps skills (Docker, microservices); • Experience with HPC, distributed training, or GPU-accelerated computing; • Knowledge of satellite data processing; • PostDoc in remote sensing or ML. What we offer ❖ A professional, stimulating, and human work environment in the IT and Earth Observation data sector based on proximity management, ❖ A real possibility of evolution according to your involvement in your work, ❖ Restaurant vouchers, ❖ Supplementary health insurance, ❖ Bonuses, ❖ Canteen, ❖ Pleasant premises in the heart of the Luxembourg countryside, ❖ Free parking Why join us? ❖ Participate in innovative, high-impact projects in high-tech and strategic sectors. ❖ Work in an agile and ambitious environment at the heart of a growing industry. ❖ Contribute to the development of cutting-edge solutions and help shape the future of our company. ❖ Join a dynamic and passionate team, committed to excellence and continuous improvement