Data Scientist/Ml Engineer Lisboa

Data Scientist/Ml Engineer
Lisboa
Lisboa, Lisboa, Portugal

col-wide
Job Description:

Do you knowaskblue?

We were born in 2013, and we provide services in the field of information technology.

We are looking for a
Data Scientist/ML Engineerto 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
- 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
- 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
- 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,
- tuning, and deployment;

Experience with both
- source and commercial large language models (LLMs);

Proficient in Python with frameworks like Tensor
Flow, Py
Torch, 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
- 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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