Large Language Models (LLMs) - 1599

Posted 10 months agoViewed
United StatesContractAI/Machine Learning
Company:Global InfoTek, Inc.
Location:United States
Languages:English
Seniority level:Senior, 5+ years
Experience:5+ years
Skills:
LeadershipPythonArtificial IntelligenceMachine LearningPyTorchTensorflowCommunication SkillsProblem Solving
Requirements:
Extensive experience (5+ years) working with LLMs and natural language processing techniques Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or a related field Excellent communication skills and ability to write technical white papers Proficiency in programming languages such as Python Familiarity with libraries like Hugging Face Transformers, TensorFlow, or PyTorch Deep understanding of language modeling concepts, architectures (e.g., GPT, BERT), and their applications Strong analytical and problem-solving skills with attention to detail Excellent communication skills, capable of conveying complex ideas to both technical and non-technical stakeholders Experience with cloud platforms (e.g., AWS, Google Cloud) for deploying ML solutions is a plus Previous experience in mentoring or leading AI/ML projects is beneficial
Responsibilities:
Provide expert guidance on developing, evaluating, writing white papers, and deploying LLMs Work closely with interdisciplinary teams to align LLM capabilities with business goals and user needs Lead the design, development, and optimization of LLMs Stay abreast of the latest research and advancements in natural language processing and large language models Collaborate with data scientists, engineers, and product teams to define requirements and specifications for LLM applications Evaluate existing LLM frameworks and recommend modifications Conduct training workshops and knowledge-sharing sessions on LLM technologies Assist in building and maintaining documentation regarding LLM projects Implement best practices for model training, fine-tuning, and deployment Analyze user feedback and experiment data to refine models
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