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This role is for a Senior ML/LLM Engineer with strong data science capabilities and a significant focus on API development and full-stack engineering principles. They will be responsible for the end-to-end lifecycle of machine learning solutions, from model conception and development to building robust, scalable APIs and integrating them into production applications.
Job Responsibility:
Develop, test, and validate statistical and machine learning models in Python
Architect and implement solutions using LLMs
Build robust, scalable APIs and integrate them into production applications
Requirements:
Data Science, Model Development & LLM Expertise: Statistical Models & Machine Learning
Advanced ML Libraries
Natural Language Processing (NLP) & Text Mining
Large Language Models (LLMs)
Proficiency with LLM application development frameworks
Skilled in prompt engineering, fine-tuning techniques
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