Automation Innovation Project Manager / Machine Learning (M/W/D)

Sidel; Octeville-sur-Mer; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

Une entreprise innovante recherche un Responsable de Projets en Automatisation et Machine Learning à Octeville-sur-Mer. Ce poste implique la gestion de projets technologiques, l'évaluation de nouvelles solutions et le développement d'applications logicielles innovantes. Vous intégrerez une équipe dynamique où créativité et motivation sont primordiales, contribuant activement à des solutions durables pour l'industrie des boissons.

Qualifications

• Master en IA et Big Data ou diplôme technique avec expérience.
• Connaissance approfondie de Python, R, et SQL requise.
• Compétences en visualisation de données et clouds publiques nécessaires.

Responsabilités

• Définir des spécifications techniques pour de nouveaux développements.
• Développer des applications logicielles avancées.
• Participer à des analyses de conception structurées comme FMEA.

Connaissances

Python

R

SQL

C

C++

Pandas

NumPy

Data Visualization

Machine Learning

Deep Learning

Formation

Master’s degree in Artificial Intelligence and Big Data

Technical Institute high school diploma

Outils

Power BI

Matplotlib

Seaborn

Google Cloud

Snowflake

Git

Docker

Description du poste

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Automation Innovation Project Manager / Machine Learning (M/W/D), Octeville-sur-Mer

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Client:

Sidel

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

9227ac915f3f

Job Views:

3

Posted:

30.06.2025

Expiry Date:

14.08.2025

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Job Description:

Automation Innovation Project Manager / Machine Learning (M/W/D)

Contract Type

Permanent

Country

FRANCE

Location

Your opportunity

Sidel is looking for an automation innovation project manager who will be part of the innovation technology development team. If you want to join an international team where you can make a real difference, work with enthusiasm and motivation, free up your inventiveness and fantasy, enabling to create the sustainable equipment of the near future, Sidel offers a career full of opportunities for unrivalled growth. Thanks to the topics you will manage & the fruitful technical exchanges with your colleagues, you will grow rapidly your expertise. We believe an environment that inspires innovation leads to great solutions for customers within great team spirit. We embrace diversity and creativity, and we are committed to protecting our customer's beverage product inside and the planet outside. At the heart of our organization are our people.

Your Mission

Part of Automation innovation team, she/he is integrated within a project team to scout and evaluate new technology and solution dedicated to all SIDEL machines (Mainly Blowers, fillers, Labelers).

Main responsibilities:

• Definition of the technical specification for new development, mainly oriented Artificial intelligence / Machine learning.
• Development of all advanced software applications.
• Reach concerted decisions on technical choices with automation and electrical experts to ensure the proper integration of solutions
• Create, verify and archive all software and technical data relating to all software development.
• Propose innovative ideas.
• Ensure artificial intelligence techno Watch.
• Participate in structured design analyses (FMEA, Human Risks Analysis, Industrialization, Sourcing, Product Development Design teams, …)
• Document technical investigations for future Innovation activities & consolidate the know-how of the company.
• Participate in some Technical scouting activities in his field of expertise.

Your Profile

A Master’s degree in Artificial Intelligence and Big Data or a Technical Institute high school diploma with relevant experience is required. Strong proficiency in Python, R, SQL, C, or C++ is essential for data manipulation, analysis, and embedded solution development. Candidates should have expertise in Pandas and NumPy, knowledge of supervised and unsupervised learning models, deep learning, and optimization techniques, and experience with PyTorch, TensorFlow, Keras, or scikit-learn for AI applications such as image processing and NLP. A solid understanding of SQL and NoSQL databases, statistics, probability, linear algebra, and optimization is expected.

Proficiency in data visualization tools like Power BI, Matplotlib, and Seaborn, as well as experience with cloud platforms such as Google Cloud and Snowflake, is required for large-scale data processing. Knowledge of version control (Git), containerization (Docker), and basic automation is also beneficial.

Fluency in professional English is mandatory, while French or Italian is a plus.