Machine Learning

Company Description

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description:

✓Analyze internal clients’ needs:

• Collaborate with clients to best understand their operational and strategic needs in terms of complex AI/ML challenges.
• Investigate and solve business issues using technical, data-driven, AI/ML strategies.

✓Build and/or adapt AI/ML models:

• Design and develop Machine Learning (ML) and Artificial Intelligence (AI) solutions, i.e., collect labeled data, setup and train models, test and evaluate results.
• Work closely with clients during application roll-out and all stages of the application lifecycle.
• Design the most adequate approaches to solve the identified problems within the company’s framework.

✓Implement and assist the deployment and maintenance of models:

• Follow to best practices in the industry to implement and scale out the developed solutions into production grade software.
• Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions.

Skills:

✓ Fluent in English (C1- C2)

✓ Ability to think abstractly and creatively

✓ Ability to explain the results of a model and the different elements impacting it

✓ High statistical and quantitative analysis skills (e.g. machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis, …)

✓ Knowledge of ETL methods

✓ Knowledge of Machine Learning models

✓ Knowledge of NLP and/or computer vision techniques

✓ Knowledge of deep learning architectures and frameworks (e.g. TensorFlow, Keras, …)

✓ Knowledge of at least one ML development stack (e.g. Scikit-learn, Keras, PyTorch…)

✓ Effective Programming skills (e.g. Python) and algorithmic knowledge

✓ Excellent communication and interpersonal skills

✓ Flexibility: ability to work in a changing environment

✓ Research-oriented

Experience:

✓ Up to 2 year experience as Data Analyst / Data Scientist / Machine Learning Specialist in at least one of the following areas:

• NLP, data extraction, document processing or process automation projects
• Classification / Regression / Clustering Machine Learning and/or statistical models
• Deep Learning models preferentially in the context of NLP, Speech-to-text or computer vision projects
• Artificial Intelligence techniques and paradigms
• Exposure to professional software development environment