Overview
Remote
$80 - $85
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Artificial Intelligence
Large Language Models (LLMs)
PyTorch
TensorFlow
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Job Details
We are seeking a highly skilled LLaMA AI Engineer to design, build, and optimize advanced solutions using Large Language Models (LLMs). In this role, you will focus on developing, fine-tuning, and deploying applications powered by LLaMA models, working closely with research, engineering, and product teams to drive innovation and deliver scalable AI solutions.
Key Responsibilities
- Design, implement, and optimize machine learning pipelines using LLaMA and other large-scale language models.
- Fine-tune LLaMA models for domain-specific use cases, ensuring high accuracy and efficiency.
- Collaborate with cross-functional teams to integrate LLaMA-powered applications into products and services.
- Conduct research on LLM training, inference optimization, and model compression techniques to improve scalability.
- Monitor performance, run experiments, and continuously enhance model accuracy, reliability, and speed.
- Stay updated on advancements in LLMs, NLP, and generative AI, applying them to real-world challenges.
Required Skills & Experience
- Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- Strong hands-on experience with transformer architectures, LLaMA, GPT, or similar LLMs.
- Proficiency in Python, PyTorch, TensorFlow, and distributed training frameworks.
- Experience in fine-tuning, prompt engineering, and deploying LLMs at scale.
- Knowledge of vector databases, retrieval-augmented generation (RAG), and reinforcement learning from human feedback (RLHF).
- Familiarity with MLOps practices, cloud environments (AWS, Google Cloud Platform, Azure), and containerization (Docker, Kubernetes).
Preferred Skills
- Experience with multilingual model training and optimization.
- Research contributions in LLM efficiency, interpretability, or safety.
- Publications, open-source contributions, or community involvement in NLP/AI.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.