Col-wideJob Description:
Do you knowaskblue?
We were born in 2013, and we provide services in the field of information technology.
We are looking for aData Scientist/ML Engineerto join our company in one of our projects, inLisbon.
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 [email protected] with the reference #16702338 in the subject.
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