Senior Data Scientist for Time Series Analysis

3 settimane fa


Turin, Piemonte, Italia Aiko A tempo pieno

About the Role

We are seeking a skilled Mid/Senior Machine Learning Engineer with a focus on Time Series Analysis to join our dynamic team at AIKO. In this role, you will be instrumental in developing and optimizing machine learning models, with a strong emphasis on time series analysis, anomaly classification, and predictive modeling.

As a key member of our team, you will leverage your expertise in machine learning and deep learning to build efficient, high-performance models. You will work closely with our data scientists and engineers to deliver groundbreaking projects that push the boundaries of AI integration in space technologies for health monitoring applications.

Your role will be vital in refining our methodologies, workflows, and ensuring our models are robust and production-ready. We value smart, motivated, and collaborative engineers who love solving problems and making a difference.

About the Position

  • Develop, implement, and optimize machine learning and deep learning models specifically tailored 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.
  • Actively be involved in new features design and development for health monitoring and predictive maintenance use cases, contributing to product innovation and enhancement.
  • 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.
  • Process, analyze, and visualize data, generating detailed reports, maps, and presentations for various stakeholders.
  • Contribute to the development and deployment of machine learning models in production environments, leveraging MLOps approaches to ensure efficient integration and smooth operations.
  • Work closely 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.

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.

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.
  • Strong statistical and analytical skills, with a solid grasp of machine learning theory and practical application.
  • Excellent communication skills with the ability to present complex data insights 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.

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€


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