Lead Data Scientist
1 month ago
Title: Data Science / AIML - Module Lead / Tech Lead
Exp: 5 - 12 Years
Location: Chennai / Bengaluru
Job Description:
LLM Technical Leads are responsible for the technical vision and execution of large language models (LLMs) at scale. They work closely with other members of the machine learning team, including data scientists, software engineers, and product managers, to develop and deploy LLMs that meet the needs of the company's customers and users. LLM Technical Leads have a deep understanding of LLM theory and practice, and they are able to apply their knowledge to solve complex problems.
Responsibilities
Build analytic systems, predictive and LLM models
Design, develop, and optimize LLMs for a variety of tasks, such as text generation, translation, question answering, and code generation
Perform code auditing of team members to maintain proper coding standards maintained.
Train and fine-tune LLMs using appropriate machine learning frameworks and tools
Deploy LLMs to production and monitor their performance
Lead the technical vision and execution of LLMs at scale
Develop and implement LLM training and deployment strategies
Collaborate with data scientists and senior data scientist to ensure that LLMs are trained on high-quality data
Work with product managers to understand the needs of customers and users and develop LLMs that meet those needs
Stay up-to-date on the latest advancements in LLM technology
Mentor and train junior engineers
Qualification and other attributes
Ph.D. in Computer Science, Machine Learning, or a related field, specializing in Large Language Models (LLMs)
Overall 8+ years of experience in IT industry with 5+ years of experience in LLM development, with a strong portfolio of innovative LLM-related projects
Exceptional coding skills in Python and experience with machine learning frameworks such as TensorFlow and PyTorch
Experience with distributed computing systems such as Spark and Hadoop
Experience with cloud computing platforms such as AWS, Azure, or GCP
Lead the development of new LLM training methods and architectures.
Develop and implement strategies for deploying LLMs to production.
Monitor the performance of LLMs in production and identify areas for improvement
Collaborate with other teams, such as product and engineering, to ensure that LLMs are integrated with other systems and products
Stay up-to-date on the latest research in the field of LLMs and identify new opportunities to apply LLMs to solve real-world problems
Excellent problem-solving and analytical skills
Ability to work independently and as part of a team
Strong leadership and communication skills
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