Ph3Careers /h3 pArgotec is an Italian aerospace company specializing in the production of small satellite platforms (from 6U Cubesats up to 250 kg platforms) and innovative products that improve the comfort of space explorers. Our all‑in‑house approach covers design, development, integration, qualification, and operational services for satellite systems and ground support solutions. /p h3Open Position /h3 pHybrid – AI Data Analytics Engineer within the Software Unit. The role focuses on designing and developing AI/ML‑enabled services and applications for both flight and ground software across multiple mission domains, including Earth Observation, Space Weather, Space Situational Awareness, and the Argotec Ground Segment. /p h3Duties /h3 pAs an AI Data Analytics Engineer you will: /pul liDesign and develop software for space applications and services. /li liWork through the entire software development lifecycle, from requirements definition to testing and reporting. /li liConfigure and tailor data‑processing environments and frameworks for onboard and ground‑based AI/ML applications. /li liParticipate in the integration and testing of onboard processing frameworks and AI/ML modules within flight and ground software, ensuring reliable execution in mission environments. /li liIdentify and support core tools for data analysis, model evaluation, and performance optimization. /li liDesign and develop tools (scripts, simulators, data pipelines) that enable the team to deliver high‑quality AI‑enabled software. /li liCooperate with other engineering teams to define system architectures and integrate AI/ML applications while respecting mission constraints and operational requirements. /li liSupport the path‑to‑production for deployed AI solutions, both on‑orbit and on the ground. /li liMaintain AI and data‑processing solutions deployed in orbit throughout the satellite lifecycle, supporting mission operations and continuous improvement. /li liContribute to continuous improvement, documentation quality, and knowledge sharing within the team. /li /ul h3General Requirements /h3 ul liBachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, Software Engineering, or a related technical field (or proven equivalent experience). /li li2–3 years of experience in a similar role is considered a plus. /li liExcellent communication skills and the ability to collaborate with cross‑functional teams. /li liStrong analytical and problem‑solving skills. /li liExcellent written and oral communication in English. /li /ul h3Required Experience Skills /h3 ul liGood understanding of AI/ML theory and data‑analysis workflows. /li liFamiliarity with the full AI/ML development lifecycle (training, validation, testing, deployment, monitoring). /li liGood skills in software design and development in Python and C/C++. /li liFamiliarity with deep learning frameworks and toolkits (PyTorch, TensorFlow, OpenVino, ONNX, etc.). /li liKnowledge of Git and familiarity with CI/CD fundamentals and best practices. /li liGood understanding of Linux operating systems. /li liExperience with scripting languages (Bash, Shell, etc.). /li liAbility to manage multiple projects and priorities simultaneously, working under tight deadlines. /li liContinuous learning attitude and commitment to excellence. /li liFlexibility and adaptability to evolving requirements and stakeholder needs. /li /ul h3Additional Assets /h3 ul liFamiliarity with common architecture and software design patterns. /li liExperience with CI/CD tools (BitBucket, Jenkins, SonarQube). /li liFamiliarity with computer vision fundamentals and common image‑analysis techniques. /li liKnowledge of relational and non‑relational databases (PostgreSQL, SQLite, MongoDB). /li liExperience with containerization and virtualization technologies (Docker, VMs). /li liExperience with embedded programming, microcontroller‑based systems, and real‑time operating systems. /li liExperience with Agile methodologies, software and hardware development lifecycles, and system design. /li liExperience in one or more of Earth Observation, Space Weather, or Space Situational Awareness domains. /li liKnowledge of EO data pre‑processing techniques (radiometric/geometric corrections, SAR pre‑processing, etc.). /li /ul h3Benefits /h3 ul liOpportunity to work with highly motivated colleagues in an innovative environment. /li liProfessional training and career development opportunities. /li liFlexible working time schedule and a hybrid work policy. /li liMonthly “Free‑Day” – every second Friday: time off to dedicate to family or hobbies. /li liA diverse community that organizes outside‑of‑work activities. /li /ul pSalary range: from €35,000 to €43,000. /p h3Equal Opportunity EEO Statement /h3 pAt Argotec, we are proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to all, regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age or disability. We actively encourage applications from individuals belonging to protected categories (Law 68/99); in the event of equal qualifications, priority may be given to candidates who meet these criteria. /p pWe comply with all applicable regulations regarding fairness, transparency, and equal opportunity in compensation and selection. Our selection process evaluates candidates based on skills, experience, and potential. /p /p #J-18808-Ljbffr