Machine Learning Engineer

Boost IT is a Portuguese technology consultancy company. We are integrated into one of the most entrepreneurial groups in Portugal, with investments in more than 30 companies.

We want to be known as the most dynamic, energetic, and reliable company in the market, and for that, we want to count on you.

If you're passionate about technology and want to work on the most relevant technology projects, then this ad could be for you!

We are seeking a highly skilled AI Machine Learning Engineer to join our dynamic team. As an Expert, you will play a key role in our client data team. If you are passionate about analyses and numbers, we want to hear from you!

Key Responsibilities:

• 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.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3+ years of hands-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, and neural networks. 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.

Benefits

• 22 days of annual vacation leave (+ 3 additional days on us! - Birthday, Christmas Eve, and New Year's Eve)
• Hybrid work arrangement
• Career progression opportunities
• Training plan
• Health insurance
• Team building activities

Boost IT. Doing IT. Better