
Leading Large Language Model Data Scientist
1 day ago
Job Overview:
Senior LLM Data ScientistWe are seeking a highly skilled Senior LLM Data Scientist to join our team.
About the Role:
This is a fantastic opportunity to leverage your expertise in large language models (LLMs) and natural language processing (NLP) to drive business value. As a Senior LLM Data Scientist, you will be responsible for developing, fine-tuning, and deploying LLMs tailored to specific business needs.
You will collaborate with cross-functional teams to integrate LLMs into production systems, ensuring their performance, reliability, and alignment with business goals. Your work will have a significant impact on the company's success.
Key Responsibilities:
- Fine-tune and optimize LLM and NLP models for real-world applications
- Integrate LLMs into scalable, production-grade systems
- Apply prompt engineering techniques to improve model performance and task alignment
- Collaborate with ML engineers and developers to build robust AI pipelines
- Evaluate model performance using accuracy, relevance, and alignment metrics
- Stay current with advancements in LLM frameworks and transformer architectures
- Document best practices and contribute to internal knowledge sharing
Requirements and Expertise:
- 3+ years of experience in LLM and NLP model development
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field
- Proficiency with LLM frameworks and libraries such as Hugging Face Transformers, LangChain, OpenAI API, LLaMAIndex, or similar
- Experience with prompt engineering and model evaluation
- Good to have: Proficiency in Python or Java, experience with AI/ML pipelines, and deployment on AWS, Azure, or Google Cloud Platform
Personal Qualities:
- Strong analytical and problem-solving mindset
- Excellent communication and collaboration skills
- Proactive, adaptable, and self-driven
- Ability to work independently and collaboratively within cross-functional teams
- Genuine motivation to contribute to success and alignment with company culture and values
What We Offer:
We offer a competitive salary and benefits package, opportunities for career growth and professional development, and a dynamic work environment that fosters innovation and collaboration.
How to Apply:
Please submit your resume and a cover letter explaining why you are the ideal candidate for this role.
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