OVERVIEW

Joining AIKO means becoming part of a young, talented team dedicated to delivering high-quality work while maintaining a healthy work-life balance. We believe in trust, responsibility, and flexibility, offering a supportive environment where you can thrive. Our team enjoys collaborating in our Torino office, working from home when desired, and taking time off when needed. Don’t miss the chance to revolutionize the future with us!
We are seeking a Machine Learning Engineer specializing in Synthetic Aperture Radar (SAR) Payload Data Analysis to join our growing and dynamic team. As a key contributor, you will play a crucial role in developing, implementing, and maintaining machine learning models specifically tailored for SAR data, driving innovation in geospatial and remote sensing applications. Your expertise will directly impact our advanced SAR-based services, supporting R&D projects and product development.
You will work closely with a dedicated team of ML and SAR experts, tackling challenging problems in data processing and information extraction. By focusing on developing deep learning models and state-of-the-art MLOps approaches, you will help us push the boundaries of AI integration within SAR analysis. Your role will be vital in refining our methodologies, op workflows, and ensuring our models are robust and production-ready.
We value smart, motivated, and collaborative engineers who love solving problems and making a difference. Remote sensing experience is beneficial, but what matters most is your passion for technology, drive to innovate, and commitment to contributing to cutting-edge solutions in the future of space and earth observation systems.

REQUIREMENTS

• Master’s degree in Computer Science, Engineering, Mathematics, or related fields.
• Proven experience in machine learning and deep learning, with a focus on SAR data processing and analysis.
• Solid understanding of Synthetic Aperture Radar (SAR) operations, including data collection, processing, and interpretation.
• Proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, Pandas, Scikit-learn) and familiarity with EO data analyses.
• Strong statistical and analytical skills, with a solid grasp of machine learning theory and practical application.
• Knowledge of GIS and EO concepts, including data management, projections, and visualization techniques.
• Experience with object-oriented programming and a commitment to quality and achieving project goals.
• Excellent communication skills with the ability to present complex data insights to both technical and non-technical audiences.
• A proactive approach to problem-solving, with a strong commitment to goals, quality, and a positive attitude toward growth and change.

PREFERRED EXPERIENCE

• PhD in Computer Science, Engineering, Mathematics, or related fields, highlighting advanced expertise in machine learning for SAR applications.
• Proven track record in key technical or lead roles in R&D projects, particularly in innovative or cutting-edge technology environments.
• Experience in remote sensing, earth observation, and satellite data analysis, including expertise in processing imagery payload data and on-board data processing from cameras and various sensors.
• Expertise in designing and implementing MLOps pipelines using tools like Git, MLFlow, Kubeflow, and Kubernetes, ensuring efficient deployment of ML models.
• Deep understanding of the operational aspects of satellite systems, including challenges related to integrating ML models with embedded hardware and sensor data.
• Demonstrated success in managing and scaling complex ML projects from concept to deployment, with proven integration into real-world applications.
• Extensive experience in data management practices and the ML software development lifecycle, emphasizing quality, scalability, and efficiency.
• Familiarity with Scrum working methodology and Agile principles, demonstrating an ability to work efficiently within iterative and collaborative development processes.

ABOUT US

AIKO is a cutting-edge deep-tech company founded in 2017. We specialize in developing advanced automation software tailored for space missions, empowering humanity’s ambitions beyond Earth’s orbit. Our mission is to revolutionize the space industry by providing innovative solutions that enhance efficiency, reliability, and safety in space exploration endeavors

TASKS

• Develop, implement, and optimize machine learning and deep learning models specifically tailored for, but not limited to, processing SAR data to extract actionable insights for geospatial and remote sensing applications.
• Utilize Python, C++, and relevant ML libraries (e.g., PyTorch, TensorFlow) to develop, train, and deploy deep learning models, emphasizing high performance and reliability.
• Manage and handle large datasets, ensuring efficient data preprocessing and analysis, storage, and access for ML model training and evaluation.
• Continuously improve model accuracy and performance, applying best practices in software quality, version control, and testing.
• Collaborate with SAR and Machine Learning teams to design algorithms for SAR data process and to optimize applications tailored for embedded systems.
• Process, analyze, and visualize SAR data, generating detailed reports, maps, and presentations for various stakeholders.
• Contribute to the development and deployment of machine learning models in production environments, leveraging MLOps approaches to ensure efficient integration and smooth operations.
• Work closely with cross-functional teams to deliver high-quality project outcomes, emphasizing accurate data handling, technical excellence, and adherence to deadlines.
• Stay updated on the latest advancements in SAR data processing, machine learning, and deep learning technologies, promoting continuous learning within the team.

The interview process for this role will somewhat look like:

• 1st Stage: Interview with our People & Talent and the Hiring Manager
• 2nd Stage: Technical step (live) and further video call to discuss it
• We hopefully make you an offer