Large Language Model Architect

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Machine Learning (ML) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Large Language Model Architect, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This role requires envisioning the architecture of neural networks that can efficiently process vast amounts of unstructured text data. The professional spends time analyzing model performance, refining parameters, and ensuring the models meet the desired objectives. Collaboration with various teams to align the model design with project goals and exploring innovative approaches to enhance language understanding are integral parts of the daily routine. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the development and implementation of scalable language model architectures to meet evolving project requirements. - Mentor junior team members by providing guidance and support to foster their professional growth. - Coordinate cross-functional efforts to integrate language models into broader applications and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML). - Strong knowledge of neural network design and optimization techniques. - Experience with natural language processing frameworks and tools. - Ability to work with large datasets and implement efficient data processing pipelines. - Familiarity with model evaluation metrics and techniques to ensure high-quality outputs. - Capability to troubleshoot and resolve complex issues related to model performance and scalability. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning (ML). - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.