Lisboa, publicado em 02/07/2025
Data Scientist/ML Engineer
Do you know askblue?
We were born in 2013, and we provide services in the field of information technology.
We are looking for a Data Scientist/ML Engineer to join our company in one of our projects, in Lisbon.
Tasks:
We were born in 2013, and we provide services in the field of information technology.
We are looking for a Data Scientist/ML Engineer to join our company in one of our projects, in Lisbon.
Tasks:
- Design & Deploy: Create machine learning models and 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.
Requirements:
- Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or similar;
- 3+ years of experience in machine learning and AI development;
- Skilled in Generative AI, including model training, fine-tuning, and deployment;
- Experience with both open-source and commercial large language models (LLMs);
- Proficient in Python with frameworks like TensorFlow, PyTorch, and Hugging Face;
- Solid understanding of Natural Language Processing (NLP) techniques;
- Familiar with traditional AI/ML methods like decision trees, SVMs, and neural networks;
- Experience with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments;
- Strong problem-solving, analytical skills, and effective communication;
- Fluent in English; French is a plus.
Nice-to-Have Skills:
- Knowledge of reinforcement learning from human feedback (RLHF);
- Familiarity with prompt engineering;
- Understanding of ethical AI principles and model interpretability.
Work Arrangement:
- Hybrid
Offer:
-
Health Insurance;
-
3 and a half days of leave per year + 22 vacation days;
-
Unlimited access to Udemy.
If you are interested in the opportunity, upload your C.V. or send it to filipa.pinto@askblue.com with the reference #16702338 in the subject.
askblue - Where Business meets Technology
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