AI Innovation Lead

1 week ago

Austin, Texas, United States Avance Consulting Full time
Job Description

**About the Role**

Avance Consulting is seeking a highly skilled and innovative AI Engineer to join our team. As a key member of our AI development team, you will be responsible for designing, developing, and deploying sophisticated chatbots and virtual assistants using Large Language Models (LLMs).

Key Responsibilities:

  • Chatbot Development: Design, develop, and deploy chatbots and virtual assistants using LLMs like GPT, BERT, or similar frameworks.
  • Prompt Engineering: Create, optimize, and fine-tune prompts to achieve desired outcomes in LLM-based applications, enhancing model performance and response accuracy.
  • Reinforcement Learning: Implement reinforcement learning techniques to improve LLM-based systems, enabling adaptive learning and better decision-making.
  • Data Classification: Develop and apply data classification algorithms using LLMs to categorize and structure large volumes of text data, ensuring accurate data processing and analysis.
  • Workflow Design: Design and implement workflows that integrate LLMs into various business processes, enhancing automation and efficiency.
  • NLP and Machine Learning: Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications.
  • Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI-driven solutions.
  • Testing and Evaluation: Conduct rigorous testing, validation, and evaluation of LLM-based models to ensure accuracy, reliability, and scalability.
  • Documentation: Maintain comprehensive documentation of models, processes, and workflows, ensuring transparency and ease of knowledge transfer.
  • Continuous Learning: Stay updated on the latest advancements in LLMs, NLP, and AI, and apply this knowledge to continuously improve and innovate within the role.

Requirements:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Proven experience in developing chatbots and conversational AI using LLMs.
  • Strong expertise in prompt engineering and optimization for LLM-based applications.
  • Experience with reinforcement learning techniques and their application in LLMs.
  • Proficiency in data classification methods using LLMs and NLP techniques.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Excellent problem-solving skills and the ability to work independently or as part of a team.
  • Strong programming skills in Python, JavaScript, or other relevant languages.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

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