Project Role : LLM Model Developer
Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Must have skills : Data Science, Large Language Models (LLMs), Python Frameworks, Machine Learning (ML), AWS; Sql; MLOps Concepts
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Developer, a typical day involves refining and adapting advanced language models to better suit specific domains and instructions. This role requires continuous engagement with evolving model architectures and datasets to improve the accuracy and contextual relevance of the models. The workday includes iterative experimentation, evaluation of model outputs, and collaboration with various teams to align the models with project goals and user needs, ensuring that the models perform optimally in targeted applications.
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 deployment of model fine-tuning strategies to meet project requirements.
- Mentor junior team members by providing guidance and support in technical challenges.
- Coordinate cross-functional efforts to integrate model improvements into production environments.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science, Machine Learning (ML), Large Language Models (LLMs), Python Frameworks, AWS Sql MLOps Concepts.
- Strong experience in designing and implementing machine learning pipelines for large-scale data processing.
- Expertise in fine-tuning and adapting language models to specific domains and use cases.
- Familiarity with cloud computing platforms and services to support scalable model training and deployment.
- Ability to analyze and interpret complex datasets to drive model improvements.
- Experience with automation and orchestration tools to streamline machine learning operations.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Science.
- This position is based at our BDC14A - STPI office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Must have skills : Data Science, Large Language Models (LLMs), Python Frameworks, Machine Learning (ML), AWS; Sql; MLOps Concepts
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Developer, a typical day involves refining and adapting advanced language models to better suit specific domains and instructions. This role requires continuous engagement with evolving model architectures and datasets to improve the accuracy and contextual relevance of the models. The workday includes iterative experimentation, evaluation of model outputs, and collaboration with various teams to align the models with project goals and user needs, ensuring that the models perform optimally in targeted applications.
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 deployment of model fine-tuning strategies to meet project requirements.
- Mentor junior team members by providing guidance and support in technical challenges.
- Coordinate cross-functional efforts to integrate model improvements into production environments.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science, Machine Learning (ML), Large Language Models (LLMs), Python Frameworks, AWS Sql MLOps Concepts.
- Strong experience in designing and implementing machine learning pipelines for large-scale data processing.
- Expertise in fine-tuning and adapting language models to specific domains and use cases.
- Familiarity with cloud computing platforms and services to support scalable model training and deployment.
- Ability to analyze and interpret complex datasets to drive model improvements.
- Experience with automation and orchestration tools to streamline machine learning operations.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Science.
- This position is based at our BDC14A - STPI office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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