We are looking for a Machine Learning Engineer, LLM to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below.
Responsibilities:
- Design, develop, and deploy scalable machine learning models with a focus on large language models (LLMs).
- Fine-tune and optimize pre-trained LLMs (e.g., GPT, LLaMA, Mistral) for specific use cases and domains.
- Collaborate with data scientists, engineers, and product teams to integrate LLMs into production systems.
- Conduct experiments to evaluate model performance, interpretability, and fairness.
- Stay current with the latest research in NLP, deep learning, and generative AI, and apply findings to improve model capabilities.
- Build and maintain data pipelines and infrastructure for training and inference.
- Contribute to the development of internal tools and frameworks for model training, evaluation, and deployment.
Qualifications:
- 3+ years of experience in machine learning or NLP, with a strong focus on deep learning.
- Hands-on experience with LLMs and transformer-based architectures.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
- Experience with model fine-tuning, prompt engineering, and evaluation metrics for language models.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Strong understanding of data structures, algorithms, and software engineering best practices.
