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- Help business to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information (PLM , Manufacturing etc)
- Expertise in LLM/GenAI technologies.
- Responsible to collaborating closely with customers to prototype, build, test, and deploy products powered by GenAI/LLM technology for MVP.
- Fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance
- Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing
- CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise.
- Design prototypes and POCs to demonstrate solution feasibility and value.
- Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.
- Bachelor’s Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields
- Experience in AI/ML technologies and software engineering, at least 2 years of hands-on experience with Python, 1+ years of experience building and maintaining scalable API solution
- 2 years of professional experience with NLP
- 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database
- 1+ years of experience with AWS, GCP or Microsoft Azure, 1+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments
- Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.
- Experience with Java, Java Script or Scala, 1+ years of experience with Snowflake or Databricks is preferred
- Deep knowledge of a specific domain or industry, with a focus on NLP/LLM
- In depth understanding of Responsible AI standards and protocols
- Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development
Key Skills
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