Senior Data Scientist

eProSoft; New Jersey; Remote; USD 96,000 - 180,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist specializing in Large Language Models. In this exciting role, you will lead the development of advanced AI systems, focusing on fine-tuning LLMs and optimizing retrieval techniques. Collaborate with top-tier teams across the globe to innovate and deliver high-performance solutions that shape the future of AI. This position offers a flexible remote work environment and the chance to make significant contributions to cutting-edge generative AI technologies. If you are passionate about AI and ready to take on a leadership role, this opportunity is perfect for you.

Benefits

Flexible remote work environment

Opportunity to shape the future of AI

Collaborate with world-class teams

Qualifications

• 7+ years in data science or machine learning, with 3+ years in LLMs or NLP.
• Proven track record of improving LLM response quality.

Responsibilities

• Fine-tune LLMs for business tasks and domains.
• Design and implement Retrieval-Augmented Generation pipelines.

Skills

Large Language Models (LLMs)

NLP

Python

PyTorch

Hugging Face Transformers

RAG systems

Data analysis

Tools

Vector databases (Quadrant, FAISS, Pinecone, Weaviate)

Evaluation metrics (BLEU, ROUGE, BERTScore)

Job description

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Job Title: Senior Data Scientist – Large Language Models (LLMs)

Location: Remote (United States or India)

Type: Full-Time

About the Role:

We are seeking a highly experienced and hands-on Senior Data Scientist with deep expertise in Large Language Models (LLMs) to join our team. In this critical role, you will lead the development and optimization of advanced language models, focusing on fine-tuning, retrieval techniques, and real-world performance benchmarking. You’ll play a central role in driving innovation and delivering high-accuracy, production-ready AI systems.

Key Responsibilities:

• Fine-tune LLMs (e.g., GPT, LLaMA, Mistral) for specific business tasks and domains
• Design and implement Retrieval-Augmented Generation (RAG) pipelines
• Work with vector databases (e.g., Quadrant, FAISS, Pinecone, Weaviate) for efficient document retrieval
• Benchmark and evaluate model responses for relevance, accuracy, and consistency
• Drive improvements in response accuracy through data analysis and model iteration
• Collaborate with engineering, product, and research teams to deliver scalable AI solutions
• Stay updated with the latest research and best practices in NLP and generative AI

Requirements:

• 7+ years of hands-on experience in data science or machine learning, with 3+ years focused on LLMs or NLP
• Strong expertise in LLM fine-tuning, RAG systems, and prompt engineering
• Deep understanding of vector similarity search and vector databases
• Proven track record of improving LLM response quality through rigorous experimentation and evaluation
• Proficiency in Python, PyTorch, Hugging Face Transformers, and other relevant tools
• Familiarity with evaluation metrics for generative AI (e.g., BLEU, ROUGE, BERTScore, human evals)
• Ability to lead projects independently and mentor junior team members

Preferred Qualifications:

• Experience deploying LLMs into production environments
• Contributions to open-source LLM or NLP projects
• Background in AI safety, interpretability, or explainability is a plus.

Why Join Us?

• Work on cutting-edge generative AI technologies
• Collaborate with world-class teams across the US and India
• Flexible remote work environment
• Opportunity to shape the future of AI in production

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology, Analyst, and Engineering

• Industries

  Software Development and Information Services

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