Seniort AI/ML
Il y a 2 semaines
Betzdorf, Luxembourg
adwäisEO
Temps plein
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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 informationStarting 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). Eligibility for this position is limited to nationals of NATO member countries
• 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 informationStarting 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). Eligibility for this position is limited to nationals of NATO member countries