Delivering innovative AI solutions
A leading innovator is looking for a talented Machine Learning Engineer to join their team.
About the Role
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.
Key Responsibilities :
- Design 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.
- Share knowledge with team members, mentor juniors, and contribute to a culture of collaboration and technical excellence.
Requirements
To be successful in this role, you will need :
A degree (BSc, MSc, or PhD) 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.~ 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 (PyTorch, HuggingFace, etc.).~ Experience with cloud platforms (ideally AWS), containerization (Docker), and deploying AI solutions in cloud environments.~ Fluent in English.Bonus Requirements :
Familiarity with inference / deployment tools (TensorRT, vLLM, etc.).Track record in computer vision, audio, or signal processing applications.Experience in DevOps / MLOps for AI product development.This is an excellent opportunity to work with cutting-edge technology and make a significant impact on the field of AI.