Machine Learning Engineer - Large Language Models

Team: IT

Location: Portugal

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Fine-tune and optimize Large Language Models for a variety of healthcare and life science applications using techniques such as Supervised Fine-Tuning (SFT), Parameter-Efficient Fine-Tuning (PEFT), Direct Preference Optimization (DPO), and Proximal Policy Optimization (PPO).
• Develop and enhance Retrieval-Augmented Generation (RAG) pipelines to improve the accuracy, relevance, and efficiency of AI-powered information retrieval systems.
• Collect, prepare, clean, and curate high-quality datasets to support the training, evaluation, and continuous improvement of machine learning models.
• Convert, optimize, and package AI models for production deployment across different serving environments while ensuring scalability and performance.
• Collaborate with cross-functional teams to build, evaluate, and deploy robust deep learning solutions that address complex healthcare challenges.
• Stay up to date with emerging advancements in LLMs, machine learning infrastructure, and AI engineering best practices to continuously improve model performance and reliability.

Requirements

• At least 5 years of professional experience developing production-grade software engineering and deep learning solutions.
• Degree in Computer Science, Data Science, Machine Learning, or a related technical field; a Master's or Ph.D. is strongly preferred.
• Proven experience working with Large Language Models, including model fine-tuning and optimization techniques.
• Hands-on expertise with frameworks such as Axolotl and strong knowledge of Transformer-based architectures.
• Experience with machine learning frameworks, particularly PyTorch.
• Familiarity with model serving technologies such as vLLM, Text Generation Inference (TGI), and llama.cpp.
• Understanding of model quantization techniques and performance optimization for resource-constrained environments.
• Strong problem-solving, collaboration, and communication skills with the ability to work effectively in distributed teams.
• Passion for AI innovation and applying machine learning to impactful real-world use cases.

Benefits

• Fully remote work environment with collaboration across an international team.
• Competitive compensation package.
• Opportunity to work on cutting-edge AI and Large Language Model technologies.
• Continuous learning and professional development opportunities.
• Exposure to impactful projects within healthcare, life sciences, and open-source AI.
• Inclusive, diverse, and collaborative workplace committed to equal opportunity and fair hiring practices.