TIFIN
TIFIN is looking for a Staff LLM Data Scientist with Large Language Model (LLM) experience who can work on generative AI products across various holdings for our early-stage ventures. This person will work end-to-end, training and productionalizing models, as well as focus on language translation. We are looking for a creative thinker who can be hands-on. The ideal candidate is passionate about Generative AI and LLM and their application in the investment space. You must be a motivated and tenacious self-starter who is comfortable interpreting technology requirements, based on business requirements, and implementing them with maximum impact on the users.
Responsibilities
Design and fine-tune open source and proprietary LLMs for various tasks such as answering questions, summarization, reasoning, and planning etc.
Build an advanced Retrieval Augmented Generation (RAG) pipeline including rewriting, embedding, fine-tuning, hybrid search, reranking, knowledge graphs, etc.
Implement a comprehensive evaluation framework and metrics for model performance.
Deploy models into production environments and ensure low latency, reliability, and scalability.
Collaborate with the product team and software engineering team to build end-to-end product systems.
Requirements
Ph. D. /Master's/Bachelor's degree in computer science, mathematics, statistics, engineering, or a relevant field.
Experienced in the field of NLP/LLM and well-versed with the current and latest state-of-the-art research.
Hands-on experience in various LLM fine-tuning techniques (e. g. LORA), LLM inference frameworks (e. g. vLLM), and advanced RAG pipelines.
Excellent knowledge of LLM evaluation methods and metrics.
6-8+ years of machine learning/deep learning experience within frameworks such as TensorFlow and/or PyTorch.
2+ years of practical experience in the development of generative AI applications.
Experience using LLMs to translate different languages.
Publications at a reputable machine learning conference or journal.
Proficient in Python and SQL.
Analytical and problem-solving skills.
Ability to visualize data in the most effective way possible for a given project or study.
Thrives in a highly demanding, entrepreneurial, and fast-paced environment.
Is a top performer and has a proactive, "doer", and problem-solver mentality.
Is highly flexible, has a good tolerance for ambiguity, and can quickly adapt to changing priorities.
Is an exceptional team player with solid communication skills.
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Responsibilities
Design and fine-tune open source and proprietary LLMs for various tasks such as answering questions, summarization, reasoning, and planning etc.
Build an advanced Retrieval Augmented Generation (RAG) pipeline including rewriting, embedding, fine-tuning, hybrid search, reranking, knowledge graphs, etc.
Implement a comprehensive evaluation framework and metrics for model performance.
Deploy models into production environments and ensure low latency, reliability, and scalability.
Collaborate with the product team and software engineering team to build end-to-end product systems.
Requirements
Ph. D. /Master's/Bachelor's degree in computer science, mathematics, statistics, engineering, or a relevant field.
Experienced in the field of NLP/LLM and well-versed with the current and latest state-of-the-art research.
Hands-on experience in various LLM fine-tuning techniques (e. g. LORA), LLM inference frameworks (e. g. vLLM), and advanced RAG pipelines.
Excellent knowledge of LLM evaluation methods and metrics.
6-8+ years of machine learning/deep learning experience within frameworks such as TensorFlow and/or PyTorch.
2+ years of practical experience in the development of generative AI applications.
Experience using LLMs to translate different languages.
Publications at a reputable machine learning conference or journal.
Proficient in Python and SQL.
Analytical and problem-solving skills.
Ability to visualize data in the most effective way possible for a given project or study.
Thrives in a highly demanding, entrepreneurial, and fast-paced environment.
Is a top performer and has a proactive, "doer", and problem-solver mentality.
Is highly flexible, has a good tolerance for ambiguity, and can quickly adapt to changing priorities.
Is an exceptional team player with solid communication skills.
#J-18808-Ljbffr