Full Stack Model (LLM) Developer at Accenture | Torre

Full Stack Model (LLM) Developer

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: To be defined

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

location_on
Remote (for Cloud-native residents)
Remote (for Python residents)
Remote (for Node residents)
Remote (for C# residents)
skeleton-gauges
You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Review preferences

Published about 2 years ago

Responsibilities & more


- Global company with a diverse and inclusive work culture - Cutting-edge projects and opportunities for professional growth - Commitment to equal employment opportunities and veteran employment - Collaborative and supportive work environment We are seeking a Full Stack Model (LLM) Developer to optimize Large Language Models (LLMs) and develop comprehensive systems and applications. The ideal candidate will have expertise in domain-specific data, Generative AI models, and technology stack development. If you are passionate about leveraging LLMs to deliver high-quality and contextually relevant responses, we want to hear from you! Responsibilities: - Optimize and fine-tune Large Language Models (LLMs) to meet specific domain requirements - Utilize domain knowledge to guide the LLMs responses, ensuring contextually relevant and accurate information - Design and develop comprehensive systems and applications that incorporate LLMs as a core component - Formulate effective prompts and queries for Generative AI models to yield desired responses and behaviors - Build end-to-end applications using a complete technology stack, including front-end and back-end components - Collect, preprocess, and manage domain-specific data to train and fine-tune LLMs - Apply domain adaptation and fine-tuning techniques to LLMs, improving their accuracy and aligning them with specific industry needs - Collaborate closely with cross-functional teams to ensure successful project outcomes - Conduct rigorous testing and evaluation of LLM driven applications to measure their performance and user satisfaction
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
check_circle

Payment confirmed

A member of the Torre team will contact you shortly

In the meantime, continue adding information to your job opening.