Python Developer with Large Language Model Expertise
1 month ago
Total Experience: 4 to 9 years
Key Responsibilities:
- Collaborate closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale.
- Fine-tune the hyperparameters of LLM models, optimizing their configuration to ensure overall model performance and drive positive outcomes for clients.
- Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.
- Develop and optimize AI models and algorithms to generate high-quality prompts for natural language processing (NLP) applications.
- Implement and deploy AI models and algorithms in production environments, ensuring scalability, reliability, and performance.
- Understand and work with the threading limitations of Python and multi-process architecture.
- Utilize object-oriented programming principles to ensure scalability, reusability, and maintainability of codebase.
Required Skills:
- Bachelor's Degree in Statistics, Applied Mathematics, Computer Science, or other related fields.
- Experience in AI/ML technologies and prompt engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Shell scripting, 1+ year of experience building and maintaining scalable API solutions.
- 2+ years of professional experience with NLP, 1+ year 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+ year of experience with prompt engineering, 1+ year of experience with vector database.
- Be a team player, fluent in English, and able to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.
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