Job description


Joining AIKO means being part of a young talented team that works every day to deliver high-quality work while paying particular attention to a healthy work-life balance. We enjoy staying together in our office in Torino but also working from home when we want and not working when we need to!

Trust, responsibility and flexibility are our pillars and we're proud of our working way. Don't miss the chance to make the revolution with us!

We are looking for a Machine Learning Engineer to support our growing and dynamic team.

As an a Machine Learning Engineer you will play a crucial role in developing, implementing, and maintaining machine learning models to solve complex problems and drive innovation within our organization.

You will work with the Machine Learning team, solving challenging problems in the domain of data analysis and information extraction for space missions. We are looking for someone with experience in the field of time series analysis to empower our teams working to enable autonomous data-driven predictive maintenance and anomaly detection for satellite platforms.

You, along with your team members, will help in building the new state-of-the-art of autonomous operations in space and will actively work on our Deep Learning-related projects, including algorithms that actually fly in orbit on satellites. You will also help AIKO implement modern DL development and deployment procedures using MLOps approaches.

Aerospace experience is not required to be successful here - we look for smart, motivated, collaborative engineers who love solving problems and want to make a difference in the future of space missions.


  • Understand all aspects of assigned space engineering projects and ensure proper execution of all deliverables.
  • Data handling and ML/DL models development for time series analysis.
  • Dissemination and efficient presentation of results internally (to the team) or externally via papers, conferences and blogs.
  • Push for continuous improvement in the company, and positive attitude towards growth and change.
  • Deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations


  • Master of Science in the following disciplines: Computer Sciences, Engineering, Math, or similar.
  • Demonstrated experience in Machine Learning and Deep Learning projects.
  • Strong statistical theoretical background
  • Strong experience with Python 3 and libraries such as PyTorch, Tensorflow, MxNet, Pandas, Scikit-learn.
  • Strong mindset towards software quality.

Preferred Experience

  • Previous experience in Data Science, Artificial Intelligence, or related fields
  • Previous experience in Data Analysis and time series analysis.
  • Expertise in designing and implementing Machine Learning Operations (MLOps) pipelines using industry-standard tools such as GitLab, MLFlow, Kubeflow and Kubernetes.


  • Ticket Restaurants
  • Flexible working hours
  • Flexible smart working policy (remote working available)
  • Access to courses for skills improvement
  • Collaborative and inclusive work environment with a diverse and talented team
  • Salary for the role: 30K – 40K

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
  • We hopefully make you an offer!


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 not a perfect match! We are looking for real people, not robots!

About Us

AIKO is a cutting-edge deep-tech company founded in 2017, with offices in Torino, Italy, and Toulouse, France. 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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