Machine Learning Engineer (RAG/LLM)

Colorado

Machine Learning

Permanent

Our client in the fintech industry is transforming the landscape of wealth management through AI-driven personalization. They are hiring a Senior NLP Engineer to lead the development of RAG-based architecture for LLMs across various early-stage divisions. The successful candidate will spearhead groundbreaking projects, starting from inception and driving forward innovative solutions within the investment sector.

Responsibilities:

As the Senior NLP Engineer, you will lead groundbreaking projects from inception to implementation.
You will develop RAG models integrated with vector databases to power conversational AI products.
Craft tools and scripts for automating data aggregation and curation processes.
Refine LLM models to optimize accuracy and effectiveness, ensuring enhanced user experiences.

Skillset:

PhD, Master’s or Bachelor’s degree in computer science, mathematics or similar.
Demonstrate over 5 years of engineering experience, including at least 1 year in vector database and chunking technologies.
Exhibit proficiency in embeddings, llama2 and other LLM tools, showcasing expertise in NLP/NLU/NLG domains.
Have hands-on experience in fine-tuning and deploying generative LLMs using TensorFlow and/or PyTorch frameworks.
Possess advanced skills in Python, SQL, and data visualization methods.
Thrive in entrepreneurial, fast-paced environments, adept at quickly adapting to evolving priorities.
Display proactive problem-solving abilities coupled with exceptional communication skills and a collaborative mindset.