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Inetum

Global IT services for digital transformation

Data Scientist - AI and Machine Learning

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeLisbon, PortugalNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • At least 3 years of hands-on experience in machine learning and AI development.
  • Strong expertise in generative AI, including model training, fine-tuning, and deployment.
  • Experience with open-source and commercial large language models.
  • Proficiency in implementing retrieval-augmented generation techniques.
  • Fluency in English at C1 level or higher.
  • Willingness to learn French.

Responsibilities

  • Create machine learning models and tailored AI solutions.
  • Fine-tune and extend open-source and commercial large language models.
  • Implement retrieval-augmented generation techniques for enhanced model efficiency.
  • Perform exploratory data analysis and feature engineering to improve model performance.
  • Develop generative AI models for content creation, process automation, and innovation.
  • Apply traditional machine learning approaches, including decision trees, support vector machines, and neural networks, to solve diverse problems.
  • Collaborate with data engineers, product managers, and stakeholders.
  • Test and validate AI solutions to ensure quality.
  • Maintain technical documentation for knowledge sharing and reproducibility.

About the Company

Inetum

Global IT services for digital transformation

Inetum provides IT services for digital transformation in 26 countries, serving enterprises, SMEs, and public sector clients. It offers cybersecurity, cloud computing, predictive maintenance, and augmented reality, delivered through consulting, managed services, and proprietary software. It differentiates itself through a broad service portfolio, strategic partnerships with Microsoft and Sage, and a focus on tailoring solutions to fit each client’s needs. Its goal is to help clients adapt to a changing digital landscape, improving business agility and creating economic, managerial, and social opportunities.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Saint-Ouen, France
Founded
1995

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