ppALTEC is involved in several Science and Technological Programs in the aerospace domain where data systems are represented by software components that together with infrastructure and communication system constitute the ground segment of a space mission. Data systems are essential as are they represent reliable and efficient performant software that is needed to provide ground segment services and execute mission operations. /p pThe Data Processing System and Scientific and Technological Application group hosts the engineers, physicists and mathematicians who oversee the space mission data systems from definition to end of operations; it develops and maintains the data systems aimed at mission support and the execution of science operations on ground; it archives and manages their data during operations and beyond. Moreover, it is involved in the post-mission data exploitation in order to develop applications aimed at maximizing the scientific and technological return of value devoted to maximize the information value extracted from such data. /p h3bDuties /b /h3 pYou will be part of the team that is in charge of all engineering aspects of the development, implementation and maintenance of software data systems under the ALTEC responsibility. /p pYou will work in close collaboration with the data engineers, software engineers, mission operators and infrastructure engineer during project phases. /p pYou will be in charge of AI application definition, design, training, validation and documentation. /p pYou will be expected to implement innovative applications based on artificial intelligence technologies within the aerospace domain. /p h3bREQUIRED EXPERIENCE TECHNICAL SKILLS /b /h3 ul liA MSc or equivalent degree in software or data science engineering with high score. /li liPractical experience designing, training, validating, and deploying Machine Learning and Deep Learning models. /li liExperience with supervised, unsupervised and self-supervised paradigms.



Solid understanding of deep model architectures (e.g., CNNs, RNNs, Transformers). /li liExperience with model, dataset and experiment versioning. /li liExperience with software development leveraging the Python language. /li liExperience designing and implementing data pipelines handling structured and unstructured data, leveraging data frameworks and libraries (i.e. NumPy, Pandas, SciPy) and managing metadata. /li liExperience with the most popular AI frameworks PyTorch, TensorFlow and Scikit-learn for Machine Learning and Deep Learning models. /li liUnderstanding of model evaluation methodologies, cross-validation strategies, hyperparameter optimization (e.g., Optuna), and performance metrics for classification, regression and ranking tasks. /li liKnowledge of MLOps approach and tools to implement CI/CD pipeline for AI workflows. /li liAbility to use query language for both relational database and NoSQL databases. /li liAbility to use of the Linux operating system and scripting languages. /li liAbility to use debugging tools, perform troubleshooting and profiling an application. /li /ul h3bSOFT SKILLS /b /h3 ul liProblem Solving /li liResult oriented /li liOperational efficiency /li liFostering Cooperation /li liRelationship Management /li /ul h3bADDITIONAL ASSETS (not mandatory, considered as a plus) /b /h3 ul liExperience in Agile methodologies would be a further asset. /li liKnowledge of container technology and deployment on Kubernetes. /li liKnowledge of distributed data processing frameworks, such as Apache Spark. /li liKnowledge of ONNX for model optimization and interoperability. /li liKnowledge of foundation models and LLMs and their integration into applications using APIs or open-source models. /li liKnowledge of Generative AI application patterns such as RAG, prompt engineering and evaluation of LLM based systems. /li /ul pbThe research is aimed at both genders. /b /p pbSalary range offered based on skills/experience in line with the profile sought: €30,000 - €35,000 /b /p /p #J-18808-Ljbffr

📌 AI Engineer (Torino)
🏢 ALTEC
📍 Torino