Machine Learning Engineer – Earth Observation

Permanent employee, Full-time · Hybrid IT, Turin

35,000 - 45,000 € per year

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 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, with a focus on computer vision and image processing for embedded systems. Your work will be instrumental in solving complex problems and driving innovation in earth observation and AI-powered systems.
You will collaborate closely with a dedicated Machine Learning team, tackling challenging projects involving data analysis and information extraction for real-world applications. With a focus on deploying deep learning models within hardware-embedded environments, your efforts will help build state-of-the-art AI integration for autonomous operations in the field of Earth Observation. You will also be pivotal in implementing modern MLOps approaches to streamline our development and deployment processes.
We value smart, motivated, and collaborative engineers who love solving problems and making a difference. Aerospace experience is not required—what matters most is your passion for technology, your drive to innovate, and your eagerness to contribute to cutting-edge solutions in the future of space missions and beyond.

Tasks

Lead the development and deployment of machine learning models, with a focus on computer vision and image processing, ensuring seamless integration into hardware-embedded systems.
Design, implement, and maintain robust MLOps pipelines using tools such as Git, MLFlow, and Kubernetes to streamline model deployment and management in production environments.
Collaborate with cross-functional teams, including software engineers, data scientists, and hardware specialists, to develop and optimize ML applications tailored for embedded systems.
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.
Disseminate results and insights effectively through internal presentations, documentation, and external publications, showcasing the impact of your work.
Foster a culture of continuous improvement, driving innovation, and advocating for new methodologies and tools that enhance the company's capabilities.

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Proven experience in machine learning with 3+ years in the role, showcasing a strong portfolio of expertise in developing deep neural networks, computer vision, and image processing.
Proficiency in Python, with additional skills in C++ considered a plus.
Solid understanding of MLOps principles and hands-on experience deploying models in production using tools like GitLab, MLFlow, and Kubernetes.
Strong statistical and analytical skills, with a solid grasp of machine learning theory and practical application.
Experience with object-oriented programming (OOP) and software development best practices.
Excellent communication skills with the ability to present complex technical concepts clearly 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 and its 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.
Ability to integrate ML models into hardware-embedded systems, ensuring efficient operation and optimal performance.
Advanced knowledge of multispectral and hyperspectral image analysis, leveraging this data for machine learning applications in earth observation.
Familiarity with continual learning and federated learning techniques, with the ability to design and implement adaptive models in distributed environments.
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.

Benefits

Ticket Restaurants
Health insurance, on a CCNL insurance plan
Welfare plan, according to CCNL
Flexible working hours
Flexible smart working policy
Access to courses for skills improvement
Salary for the role: 35K-45K€

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!

DEI in AIKO

AIKO is an equal-opportunity employer. We encourage candidates from all
backgrounds and experiences to apply.

Research shows that women or people belonging to minorities often don't apply to
roles they don't feel match 100% of the requirements. If this posting is
interesting to you, we encourage you to apply even if it is not a perfect match! We are
looking for real people, not robots!

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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.

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We are looking forward to hearing from you!

Thank you for your interest in joining AIKO's team! We kindly ask you to fill in the sessions below to evaluate your application.