Junior Machine Learning Engineer
4 settimane fa
We are seeking a highly skilled Junior Machine Learning Engineer to join our team at AIKO. As a key member of our team, you will be responsible for developing and implementing machine learning models focused on time series analysis, anomaly detection, and predictive modeling.
Your primary goal will be to work closely with our team of experienced data scientists and ML engineers to design, develop, and deploy machine learning models that drive innovation in space health monitoring and predictive maintenance.
Key Responsibilities- Develop and implement machine learning models for time series analysis, anomaly detection, and predictive modeling.
- Collaborate with the team to improve model accuracy and performance, applying best practices in software quality, version control, and testing.
- Manage and handle large datasets, ensuring efficient data preprocessing and analysis, storage, and access for ML model training and evaluation.
- Process, analyze, and visualize data, generating detailed reports, maps, and presentations for various stakeholders.
- Stay updated on the latest advancements in time series data processing, machine learning, and deep learning technologies, promoting continuous learning within the team.
- Master's degree in Computer Science, Engineering, Mathematics, or related fields.
- 2+ years of proven experience in machine learning and deep learning with a focus on time series analysis and predictive modeling.
- Proven coding skills in Python and C++. Proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, Pandas, Scikit-learn).
- Excellent communication skills with the ability to present complex data insights to both technical and non-technical audiences.
- MSc in Computer Science, Engineering, Mathematics, or related fields, highlighting expertise in machine learning.
- Demonstrated experience in managing ML projects focused on time-series.
- Experience in data management practices and the ML software development lifecycle, emphasizing quality, scalability, and efficiency.
- 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: 30K-40K€
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