Posted:
7/2/2024, 5:00:00 PM
Location(s):
Metro Manila, Philippines ⋅ Mandaluyong, Metro Manila, Philippines
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
Summary:
As a Large Language Model Architect, you will be responsible for designing neural network parameters and training them on large quantities of unlabeled text data to architect large language models (LLM) that can process and generate natural language. Your typical day will involve working with AI Architecture and Data Architecture Principles.
Roles & Responsibilities:
- Design and architect large language models (LLM) that can process and generate natural language.
- Develop and implement neural network parameters, trained on large quantities of unlabeled text data.
- Collaborate with cross-functional teams to ensure the successful deployment of LLMs.
- Stay updated with the latest advancements in AI Architecture and Data Architecture Principles, integrating innovative approaches for sustained competitive advantage.
Professional & Technical Skills:
- Required Skill: Expert proficiency in AI Architecture.
- Additional Must To Have Skills: None
- Additional Good To Have Skills: Data Architecture Principles
- Strong understanding of neural network parameters and training on large quantities of unlabeled text data.
- Experience with cross-functional team collaboration.
- Solid grasp of the latest advancements in AI Architecture and Data Architecture Principles.
Additional Information:
- The candidate should have 5-8 years of experience in AI Architecture.
- The ideal candidate will possess a strong educational background in Data Architecture, Computer Science, or a related field, along with a proven track record of delivering impactful data-driven solutions.
- This position is based at our Manila office.
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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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Website: https://accenture.com/
Headquarter Location: Dublin, Dublin, Ireland
Employee Count: 10001+
Year Founded: 1989
IPO Status: Public
Last Funding Type: Grant
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