Machine learning engineer

Join a leading deep-tech innovator in AI and quantum-inspired technologies.We are at the forefront of applying advanced research to real-world challenges, backed by global investors and strong institutional support. Our groundbreaking technology is already transforming how AI is deployed worldwide — making large-scale models faster, greener, and more efficient.Joining our team means working on cutting-edge solutions that push the boundaries of what’s possible in AI and delivering impact across diverse industries.What you’ll doDesign and develop new methods for compressing and optimizing Large Language Models (LLMs) using advanced AI and quantum-inspired approaches.Conduct evaluations, benchmarks, and fine-tuning of models to maximize performance, accuracy, and efficiency.Build applications powered by LLMs, including retrieval-augmented generation (RAG) systems and AI agents.Identify opportunities for innovation by assessing model strengths / weaknesses and proposing enhancements.Develop and train custom deep learning models for a variety of use cases, including beyond LLMs (e.g., computer vision).Maintain thorough documentation of development processes, experiments, and results.Share knowledge with team members, mentor juniors, and contribute to a culture of collaboration and technical excellence.Stay current with the latest research in LLMs and recommend emerging tools and technologies.What you’ll bringDegree (BSc, MSc, or Ph D) in Artificial Intelligence, Computer Science, Data Science, or related fields.2+ years of hands-on experience designing, training, or fine-tuning deep learning models, preferably with transformer or computer vision architectures.Proficiency with transformer models and related libraries (e.g., Hugging Face Transformers, Accelerate, Datasets).Strong mathematical foundations in deep learning algorithms and neural networks.Excellent problem-solving, debugging, and performance analysis skills.Strong Python programming skills and experience with relevant ML frameworks (Py Torch, Hugging Face, etc.).Experience with cloud platforms (ideally AWS), containerization (Docker), and deploying AI solutions in cloud environments.Excellent communication skills and ability to thrive in a fast-paced, collaborative setting.Fluent in English.Nice to haveExperience running large-scale workloads in HPC clusters.Familiarity with inference / deployment tools (Tensor RT, v LLM, etc.).Experience building / evaluating RAG systems.Track record in computer vision, audio, or signal processing applications.Knowledge of responsible AI practices and AI ethics.Experience in Dev Ops / MLOps for AI product development.Previous research publications in deep learning or related fields.If you’re excited by this opportunity and meet the qualifications, apply now or email nk@eu-recruit.com with the subject line “ML Engineer – 9-Month Contract”By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https : / / eu-recruit.com / about-us / privacy-notice / )