emagine

Data Scientist – ML Engineer

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MidHybryda·LisbonFull-time

#449914·Dodano 22 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Data analysisDocumentationNeural NetworkstrainingPythonQuality Assurance (QA)Artificial Intelligence (AI)TestingOpen sourceCloud

Podsumowanie oferty

You will work on developing and optimizing advanced AI algorithms, including Generative AI models, in collaboration with experts in data science, AI, and product development. The role involves designing machine learning models, fine-tuning Large Language Models, applying Traditional ML methods, and ensuring quality assurance. You will contribute to building impactful AI solutions that address real-world challenges in the financial sector. This position is based in a hybrid work mode in Lisbon.

Wymagania

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Over 3 years of hands-on experience in machine learning and AI development.
Expertise in Generative AI including model training, fine-tuning, and deployment.
Experience with open-source and commercial Large Language Models.
Proficiency in implementing Retrieval-Augmented Generation (RAG) techniques.
Experience with vector databases.
Advanced programming skills in Python with frameworks such as TensorFlow, PyTorch, and Hugging Face.
Deep understanding of Natural Language Processing (NLP) techniques and architectures.
Practical experience with traditional AI/ML methods including decision trees, Support Vector Machines (SVMs), clustering, and neural networks.
Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) for AI/ML deployments.
Knowledge of MLOps practices and tools.
Strong problem-solving and analytical skills.
Effective communication and teamwork abilities.
Fluency in English at C1 level or higher is mandatory.
Willingness to learn French.

Nice to have:

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.

Obowiązki

Design and deploy 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.
Develop Generative AI models for content creation and process automation.
Apply traditional ML methods such as decision trees, SVMs, and neural networks.
Collaborate with data engineers, product managers, and stakeholders.
Ensure high-quality AI solutions through rigorous testing and validation.
Maintain technical documentation for knowledge sharing and reproducibility.

Inne informacje

This position is hybrid with on-site presence required 2 times per week at Parque das Nações, Lisbon.

Data processing information is provided, including rights concerning personal data managed by emagine with headquarters in Warsaw, Poland.

emagine

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