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    Lead Data Scientist - Bengaluru, India - Aspire Systems

    Aspire Systems
    Aspire Systems Bengaluru, India

    3 weeks ago

    Aspire Systems background
    Description

    Title:
    Data Science / AIML - Module Lead / Tech LeadExp: YearsLocation: 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.


    ResponsibilitiesBuild analytic systems, predictive and LLM modelsDesign, develop, and optimize LLMs for a variety of tasks, such as text generation, translation, question answering, and code generationPerform code auditing of team members to maintain proper coding standards maintained.

    Train and fine-tune LLMs using appropriate machine learning frameworks and toolsDeploy LLMs to production and monitor their performanceLead the technical vision and execution of LLMs at scaleDevelop and implement LLM training and deployment strategiesCollaborate with data scientists and senior data scientist to ensure that LLMs are trained on high-quality dataWork with product managers to understand the needs of customers and users and develop LLMs that meet those needsStay up-to-date on the latest advancements in LLM technologyMentor and train junior engineers

    Qualification and other attributesPh.
    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 projectsExceptional coding skills in Python and experience with machine learning frameworks such as TensorFlow and PyTorchExperience with distributed computing systems such as Spark and HadoopExperience with cloud computing platforms such as AWS, Azure, or GCPLead 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 improvementCollaborate with other teams, such as product and engineering, to ensure that LLMs are integrated with other systems and productsStay up-to-date on the latest research in the field of LLMs and identify new opportunities to apply LLMs to solve real-world problemsExcellent problem-solving and analytical skillsAbility to work independently and as part of a teamStrong leadership and communication skills
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