Machine Learning Officer, Inetum

Inetum

Location:
Portugal, Lisbon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job 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 Responsibility:

Develop End to End Product Lifecycle: Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e., collect and label data, setup and train models, test and evaluate results
Develop, modify, and support in-house applications, working hand-in-hand with the data scientists and developers of the AC team
Work closely with clients during all stages of the application life cycle
Design the most adequate approaches to solve the identified problems within the company’s framework
Implement and assist the deployment and maintenance of models and software: Follow industry best practices 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
Contribute to disseminate a culture of data driven solutions within CIB
Maintain a strong market watch on the latest developments on methodologies, technologies, and tools

Requirements:

Ability to explain the results of a model and the different elements impacting it
Statistical and quantitative analysis skills (e.g., machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis)
Knowledge of at least one ML development stack (e.g., scikit-learn, keras …)
Knowledge of NLP techniques
Effective Programming skills (e.g., Python, R, Java, Go) and algorithmic knowledge
Knowledge of databases and associated tools (SQL and NoSQL)
Familiarity with continuous integration tools (pref. Jenkins, Git)
Knowledge of deep learning architectures and frameworks (e.g., PyTorch, TensorFlow,…)
Fluent English

Nice to have:

French and Portuguese are a plus
Although not strictly required a PhD on data-science, engineering or related fields is an advantage

Additional Information:

Job Posted:
April 26, 2025

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Machine Learning Officer