Mission At Inetum, we are a leading consulting company dedicated to driving innovation and solving complex business challenges.
The FabLab is committed to pushing the boundaries of technology and fostering a culture of creativity and collaboration.
With a strong emphasis on leveraging mathematical and ML techniques, our team is at the forefront of developing advanced solutions for research projects, internal products, and client projects.
Job Description:
As a DataScientist / ML Engineer at Inetum's FabLab, you will play a crucial role in driving the development and implementation of machine learning models and data-driven solutions.
Collaborating closely with cross-functional teams, you will leverage your expertise in mathematical techniques and ML frameworks to deliver innovative solutions that address complex business challenges.
Responsibilities:
Collaborate with stakeholders to understand business requirements and translate them into mathematical and ML-based solutions.
Design, develop, and implement machine learning models and algorithms for research projects, internal products, and client projects.
Conduct exploratory data analysis, feature engineering, and model validation to ensure the robustness and accuracy of ML solutions.
Work closely with software engineers to integrate ML models into production systems and deploy them at scale.
Stay abreast of the latest advancements in ML techniques and frameworks, and proactively apply them to enhance model performance and efficiency.
Participate in research initiatives to explore emerging technologies and methodologies, and contribute to the development of innovative solutions within the FabLab.
Profil Master's degree or Ph.D in Computer Science, Engineering, Mathematics, or related field.
3-5 years of hands-on experience in data science, machine learning, or related roles.
Strong proficiency in mathematical techniques such as probability, statistics, and linear algebra.
Expertise in Python programming and experience with ML libraries/frameworks (e.g., TensorFlow, scikit-learn, PyTorch).
Solid understanding of data processing techniques and frameworks (e.g., pandas, Spark).
Experience working on research projects and industry applications, with a proven track record of delivering high-quality ML solutions.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams and explain technical concepts to non-technical stakeholders.
Preferred Qualifications:
Experience with deep learning techniques and frameworks (e.g., CNNs, LSTMs).
Knowledge of cloud platforms and services (e.g., Azure, AWS, Google Cloud).
Familiarity with big data technologies and distributed computing frameworks.
Ability to work independently and drive projects from conception to completion.
Strong problem-solving skills and a passion for exploring innovative solutions to complex problems.
Benefits:
Flexible work arrangements, including remote work options with regular visits to Paris.
Professional development and training opportunities.
Collaborative and inclusive work culture.
Opportunity to work on cutting-edge projects at the intersection of innovation and technology within the Innovation Business Unit.
How to Apply:
If you are passionate about leveraging mathematical techniques and machine learning to drive innovation and thrive in a dynamic and collaborative environment, we want to hear from you Please submit your resume and a cover letter outlining your relevant experience and why you are interested in joining Inetum as a DataScientist / ML Engineer.
We look forward to reviewing your application and discussing how you can contribute to our team.
[Contact Information] https:
//www.inetum.com/en Organisation Inetum est un leader européen des services numériques.
Pour les entreprises, les acteurs publics et la société dans son ensemble, les 28 000 consultants et spécialistes du groupe visent chaque jour l'impact digital :
des solutions qui contribuent à la performance, à l'innovation et au bien commun.
Présent dans 19 pays au plus près des territoires, et avec ses grands partenaires éditeurs de logiciels, Inetum répond aux enjeux de la transformation digitale avec proximité et flexibilité.
Porté par son ambition de croissance et d'industrialisation, Inetum a généré en 2023 un chiffre d'affaires de 2,5 milliards d'â?¬.
Pour répondre à un marché en croissance continue depuis plus de 30ans, Inetum a fait le choix délibéré de se recentrer sur 4 métiers afin de gagner en puissance et proposer des solutions sur mesure, adaptées aux besoins spécifiques de ses clients :
le conseil (Inetum Consulting), la gestion des infrastructures et applications à façon (Inetum Technologies), l'implémentation de progiciels (Inetum Solutions) et sa propre activité d'éditeur de logiciels (Inetum Software).
Inetum a conclu des partenariats stratégiques avec 4 grands éditeurs mondiaux - Salesforce, ServiceNow, Microsoft et SAP et poursuit une stratégie d'acquisitions dédiée afin d'entrer dans le top 5 européen sur ces technologies et proposer la meilleure expertise à ses clients.
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