Machine Learning Engineer
2 settimane fa
We are seeking a highly skilled Machine Learning Engineer to join our team at AIKO. As 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.
Key Responsibilities- Develop and implement machine learning models for time series analysis and data analysis.
- Work with the Machine Learning team to solve challenging problems in the domain of data analysis and information extraction for space missions.
- Collaborate with the team to build the new state-of-the-art of autonomous operations in space.
- Help implement modern DL development and deployment procedures using MLOps approaches.
- Master of Science in 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.
- 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.
- 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.
- 1st Stage: Interview with our People & Talent and the Hiring Manager.
- 2nd Stage: Technical step.
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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