Data Scientist/ML Engineer
Lisboa, Lisboa
askblue
conheça a askblue, onde a tecnologia se alia aos negócios para criar soluções inovadoras e gerar impacto real no mercado global.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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Content creation Data analysis EDA Engineering Feature engineering GCP Generative AI LLMs Machine Learning ML models Model training NLP Open Source Prompt engineering Python PyTorch RAG Reinforcement Learning RLHF TensorFlow Testing
Perks/benefits: Unlimited paid time off
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