Data scientist

emagine; Lisboa; Hybrid; EUR 55,000 - 85,000; Full time

Job summary

emagine ищет Data Scientist в Лиссабоне, увлечённого созданием передовых AI/ML решений. Требуется 3+ года опыта и глубокие знания Generative AI, LLMs и RAG. Работа над оптимизацией и развёртыванием моделей в финансовом секторе Европы.

В кандидата приветствуются навыки Python, PyTorch/TensorFlow, опыт с облачными платформами и MLOps. Ожидается владение английским на высшем уровне и готовность к обучению французскому.

Qualifications

• Высшее образование в области Computer Science, Data Science, ML или аналогичной сфере.
• 3+ года практического опыта в ML и разработке ИИ.
• Опыт генеративного ИИ, донастройки и развёртывания ML-моделей.
• Работа сopen-source и коммерческими LLMs, ROC/RAG.

Responsibilities

• Создание моделей машинного обучения и решений на основе ИИ.
• Донастройка и расширение LLMs, включая RAG-методы.
• Проведение разведочного анализа данных и отбора признаков.
• Разработка моделей для контента, автоматизации процессов и инноваций.
• Использование деревьев решений, SVM, нейронных сетей и др.
• Сотрудничество с инженерами данных, product-менеджерами и стейкхолдерами.
• Обеспечение качества решений через тестирование и валидацию.
• Документация технологий и экспериментов.

Skills

Generative AI

LLMs

RAG

Python

PyTorch

TensorFlow

Hugging Face

NLP

Cloud platforms

MLOps

Vector databases

Английский (C1)

Education

Bachelor's or Master's in CS/DS/ML

Tools

TensorFlow

PyTorch

Hugging Face

Vector databases

AWS/GCP/Azure

Job description

Описание:

Are you a Data Scientist passionate about building cutting-edge AI/ML solutions? Do you thrive on solving complex problems and pushing the boundaries of what's possible with AI? If yes, we want you on our dynamic and innovative team! With over 3 years of hand-on experience, you'll lead the way in developing and optimizing state-of-the-art AI algorithms, including Generative AI models.

Задачи:

• Create machine learning models and tailored AI solutions.


• Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models.


• Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency.


• Perform exploratory data analysis and feature engineering to unlock better model performance.


• Develop cutting-edge models for content creation, process automation, and innovation.


• Utilize decision trees, SVMs, neural networks, and more to solve diverse problems.


• Work alongside data engineers, product managers, and stakeholders.


• Ensure high-quality AI solutions through rigorous testing and validation.


• Maintain technical documentation for knowledge sharing and reproducibility.

Требования:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.


• 3+ years of hand-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.


• Experience with vector databases.


• Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face.


• Deep understanding of NLP techniques and architectures.


• Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering, and neural networks.


• Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments.


• Knowledge of MLOps practices and tools.


• Strong problem-solving and analytical skills.


• Effective communication in public and teamwork skills.


• Fluency in English (C1 level or higher) is mandatory.


• Willingness to learn French.


• Будет плюсом: Knowledge of reinforcement learning from human feedback (RLHF); Familiarity with prompt engineering; Understanding of ethical AI principles and model interpretability; Fluency in French is a plus

Условия:

• Work at the forefront of AI and machine learning innovation in a big European financial group.


• Collaborate with experts in data science, AI, and product development.


• Build impactful solutions that solve real-world challenges.