ACSYOM ANALYTICS is seeking a a consultancy headquartered in Clermont, F: with a client base spanning North and South East regions of USA, is offering an exciting career opportunity. We are seeking a highly talented LLM Developer to join our innovative and dynamic team of professionals. This is direct hire for our client
Responsibilities:
As an LLM Specialist, you hold a central position in crafting and executing state-of-the-art solutions powered by Large Language Models. Your deep knowledge of machine learning and artificial intelligence shines through as you bring these cutting-edge language models to bear on intricate challenges and elevate user interactions. From the initial idea to the final implementation, your practical experience in deploying Large Language Models in practical applications will make a substantial impact on the creation of inventive and refined software solutions.
LLM Developer | Daily Responsibilities
- Engage in cross-functional collaboration to brainstorm, design, and execute Large Language Model solutions tailored to various applications
- Create, refine, and assess Large Language Models (LLMs) using leading frameworks like GPT-3, BERT, or T5
- Thoroughly document and convey the outcomes of experiments, offering clear insights for discussion and review among peers through platforms such as Confluence.
- Bring your expertise to bear on data preprocessing and annotation, working closely with the data team to ensure the development of top-quality training datasets.
- Craft production code and deployment solutions, fine-tuning deployed models to optimize their performance and efficiency.
- Maintain an ongoing commitment to language model research, staying abreast of the latest advancements, and translating these into scalable, real-time solutions.”
LLM Developer | Qualifications & Expertise
- Hold a Master’s or Ph.D. degree in computer science, information science, mathematics, statistics, engineering, or a related field with a specialization in natural language processing.
- Possess a minimum of 3 years of practical experience in the development and deployment of Large Language Models within real-world contexts.
- Demonstrate proficiency in prominent Large Language Model frameworks like GPT-3, BERT, or T5.
- Showcase strong programming abilities in Python, complemented by proficiency in relevant libraries.
- Exhibit expertise in data preprocessing, annotation, and the enforcement of quality standards for Large Language Model training datasets.
- Possess a firm grasp of the foundational principles and algorithms underpinning machine learning.
- Be highly detail-oriented, organized, and self-driven, with an unwavering commitment to ongoing learning and the exploration of advancements in Large Language Model technology.
- Knowledge of healthcare data standards (HL7, FHIR) and workflows represents an advantageous skillset.”
