Data Scientist - Ai And Machine Learning

Inetum Portugal; Lisboa; Presencial; EUR 42 000 - 70 000; Tempo integral

Resumo da oferta

Inetum Portugal is seeking a Data Scientist specialized in AI/ML to design and deploy models, fine-tune LLMs, and implement RAG techniques in real-world applications.

You will collaborate with data engineers and product teams, perform EDA, feature engineering, and ensure rigorous validation of AI solutions; proficiency in English required.

Qualificações

• Bachelor’s or Master’s degree in CS, DS, ML, or related field.
• 3+ years hands-on ML/AI development experience.
• Fluency in English (C1+) mandatory.

Responsabilidades

• Design and deploy machine learning models and AI solutions.
• Fine-tune and deploy LLMs (open-source and commercial).
• Implement Retrieval-Augmented Generation for efficiency.
• Perform exploratory data analysis and feature engineering.
• Collaborate with data engineers, product managers, and stakeholders.

Conhecimentos

Machine Learning

Generative AI

LLMs

RAG techniques

English fluency

Formação académica

Bachelors or Masters

Descrição da oferta de emprego

Data Scientist - AI and 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

• 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.

Qualifications

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.