Machine Learning Engineer

1 mese fa


Turin, Piemonte, Italia Aiko A tempo pieno
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Aiko. As a key member of our team, you will be responsible for developing and optimizing machine learning models with a strong focus on time series analysis, anomaly classification, and predictive modeling.

Key Responsibilities
  • Develop and implement machine learning models for time series data to extract actionable insights for predictive maintenance and health monitoring applications.
  • Build models to predict equipment failures, detect anomalies, and classify operational health patterns, ensuring proactive maintenance and minimizing downtime.
  • Collaborate 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 time series data processing, machine learning, and deep learning technologies, promoting continuous learning within the team.
Requirements
  • MSc or PhD in Computer Science, Engineering, Mathematics, or related fields.
  • 3-5 years of proven experience in machine learning and deep learning with a focus on time series analysis and predictive modeling.
  • Proven expertise in developing machine learning models for time series data, including data preprocessing, feature extraction, and model deployment.
  • Strong experience with object-oriented programming and a commitment to quality and achieving project goals.
  • Exceptional coding skills in Python and C++, with a deep understanding of object-oriented programming and proven experience deploying ML models in production environments.
Preferred Experience
  • PhD in Computer Science, Engineering, Mathematics, or related fields, highlighting advanced expertise in machine learning applications.
  • Previous working experience in a software product-oriented company.
  • Proven track record in key technical or lead roles in R&D projects, particularly in innovative or cutting-edge technology environments.
What We Offer
  • 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€

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