We are seeking a dedicated Large Language Model (LLM) Engineer to join our AI team.
The ideal candidate will be responsible for developing, fine-tuning, and deploying
language models to solve diverse business challenges. If you have a passion for NLP
and AI and a deep understanding of transformer architectures, this position might be for
- Design, train, and optimize large language models tailored to specific applications or domains.
- Use transfer learning techniques to adapt pre-trained models to specialized tasks or datasets.
- Enhance model efficiency, reduce computational costs, and improve runtime performance.
- Create benchmarks and validation protocols to assess model performance against defined metrics.
- Collaborate with the engineering teams to deploy models into production environments, ensuring scalability and robustness.
- Work closely with data scientists, researchers, and product teams to understand requirements and deliver AI-powered solutions.
- Continuously monitor advancements in NLP, deep learning, and related fields to ensure the adoption of the latest techniques and tools.
- Address and resolve issues related to model behavior, performance, and integration.
Skills and Qualifications:
- Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Solid experience with deep learning frameworks such as TensorFlow, PyTorch, or others.
- Strong understanding of Natural Language Processing and transformer architectures like BERT, GPT, T5, etc.
- Proficiency in programming languages like Python.
- Familiarity with libraries such as Hugging Face’s Transformers is a plus.
- Experience with high-performance computing, GPU optimization, and distributed training.
- Innovative mindset with the ability to troubleshoot complex problems and provide effective solutions.
- Strong written and verbal communication skills to collaborate with teams and present findings.
Preferred (but not mandatory):
- Previous experience in deploying large language models in real-world applications.
- Familiarity with cloud platforms like AWS for model deployment and scaling.
- Knowledge of model compression techniques, quantization, and other optimization strategies.
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI technologies and applications.
- Collaborative and innovative work environment with continuous opportunities for learning and growth.
If you are a good fit for this position, please send your CV in English along with your salary requirements. Only shortlisted candidates will be contacted.