Data Scientist - AI and Machine Learning
At a glance
Mid-level AI Research role at Inetum. Lisbon · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine-learning models and AI applications tailored to the problems they need to solve
- Adapt open-source and commercial LLMs, then put them into use
- Use RAG methods and feature engineering to improve model performance
- Create generative AI for content production and process automation, alongside traditional ML approaches
- Test and validate solutions, collaborate with data engineers and product managers, and document your work
What you bring
- A bachelor's or master's degree in computer science, data science, machine learning or a related discipline
- At least three years of practical work developing AI and machine-learning solutions
- Strong generative AI skills spanning model training, adaptation and deployment, plus experience with open-source and commercial LLMs
- Hands-on ability to implement RAG, and English fluency at C1 level or above
Who this fits
This mid-level role suits someone who can build and validate AI systems and work with data engineers, product managers and stakeholders. The position is hybrid in Lisbon. You must be willing to learn French.
From the employer
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.
- Design & Deploy: Create machine learning models and tailored AI solutions.
- Innovate: Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models.
- Optimize: Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency.
- Analyze: Perform exploratory data analysis and feature engineering to unlock better model performance.
- Build Generative AI: Develop cutting-edge models for content creation, process automation, and innovation.
- Apply Traditional ML: Utilize decision trees, SVMs, neural networks, and more to solve diverse problems.
- Collaborate: Work alongside data engineers, product managers, and stakeholders.
- Quality Assurance: Ensure high-quality AI solutions through rigorous testing and validation.
- Document & Share: Maintain technical documentation for knowledge sharing and reproducibility.
Your Must-Have Skills:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- 3+ years of hands-on experience in machine learning and AI development.
- Strong expertise in Generative AI (model training, fine-tuning, and deployment).
- Experience with open-source and commercial LLMs.
- Proficiency in implementing RAG techniques.
- Fluency in English (C1 level or higher) is mandatory.
- Willingness to learn French.