Location-Fremont, CA / Remote
Job Type-Long Term

Key Responsibilities

• Develop, deploy, and evaluate LLM-based models for enterprise applications, such as chatbots on company data.
• Implement and evaluate various LLM application logic ( flows ) and prompting strategies and stay up to date with the latest advancements in this field.
• Conduct experiments and analysis to evaluate and optimize the performance and business value impact of LLM-based applications.
• Collaborate with other data scientists, engineers, and product managers to deliver high-quality solutions.
• Interact with business stakeholders to gather feedback and tailor solutions to business needs.

Skills Requirements

• 5+ years of experience in software engineering, machine learning, data science, or artificial intelligence.
• Strong proficiency in Python.
• Experience following software best practices in team settings, including version control (Git), CI/CD, documentation, & unit testing.
• Experience using common NLP and/or ML Python frameworks, such as PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy.
• Strong background and experience in natural language processing, machine learning, and deep learning.
• Hands-on experience with LLM skills including prompt engineering, fine-tuning, LLMOps, function-calling, and retrieval augmented generation (RAG) strongly preferred.
• Experience with LLM tools such as OpenAI, HuggingFace, LangChain, LlamaIndex, Prompt Flow, Autogen, or Semantic Kernel strongly preferred.
• Exposure to Microsoft Azure or similar cloud computing ecosystem preferred.
• Experience with DevOps/MLOps/LLMOps strongly preferred.
• Excellent written and verbal communication and presentation skills.
• Ability to work independently and in a team to work productively with business stakeholders.

Education

• Bachelor's degree in computer science, statistics, or related field.