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Publiée hier · Paris
ML / Data Engineer
- Paris
Outils et compétences cités dans l'annonce
Description du poste
About The Company
Oventi is a consulting firm specializing in Data and Artificial Intelligence that drives business performance. By combining cutting-edge technical expertise with a strategic vision rooted in business challenges, we transform data into tangible growth drivers. Our teams, composed of graduates from top engineering and business schools, design complex architectures and products. Between our internal LAB, a true innovation incubator, and our hands-on support within organizations, we convert applied research into tailored, immediately operational solutions.
About The Role
We are seeking a talented ML/Data Engineer to join our team and play a key role in building and industrializing Artificial Intelligence and Machine Learning solutions focused on strategic forecasting and prediction challenges related to Supply Chain and Value Chain management. In this role, you will directly contribute to the development of high-value data products by designing robust, high-performance solutions that are deployable in production environments. Your expertise will be crucial in ensuring the reliability, scalability, and efficiency of AI/ML models and pipelines.
Qualifications
- Minimum 7 years of experience as a Data or Machine Learning Engineer.
- Master’s degree or engineering diploma with a specialization in Data Engineering, Artificial Intelligence, or Data Science.
- Proven experience in developing and industrializing AI/ML solutions, with strong knowledge of deployment challenges.
- Proficiency with Data Engineering tools, pipeline management, and AWS environments.
- Experience with containerization technologies such as ECR and EKS.
- Strong interpersonal skills, collaborative mindset, and a passion for continuous improvement.
Responsibilities
- Design and develop advanced Machine Learning models dedicated to forecasting and Supply Chain predictions.
- Industrialize and operate models in production, ensuring delivery, versioning, and
Annonce publiée sur LinkedIn et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.
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