Senior NLP/AI Scientist (Hybrid) - Real-Time LLMs

KellyMitchell Group; Denver (CO); Hybrid; USD 122,000 - 135,000; Full time

Benefits offered by this job

Employee Stock Ownership Plan

401K offered

Hybrid work model

Job summary

KellyMitchell Group is looking for a Senior Data Scientist in Denver, Colorado, with experience in NLP techniques and LLMs. This hybrid position will involve analyzing NLP components, finetuning models, and collaborating with analysts to enhance data products. Candidates should be proficient in Python and SQL, with strong communication skills. The pay range is between $122,000 and $135,000, with additional benefits including employee stock ownership and 401K offerings.

Qualifications

• Strong understanding of NLP techniques and language modeling concepts.
• Experience with fine-tuning LLMs and prompt-based workflows.
• Experience with text processing and string operations in Python.
• Comfortable with machine learning experimentation and model evaluation.
• Ability to explain processes to technical and non-technical audiences.

Responsibilities

• Perform technical analysis focused on NLP components.
• Finetune and adapt LLMs for live customer data.
• Collaborate with Data Analysts on data products.
• Build and validate workflows for processing streaming data.
• Document methodologies and present findings to stakeholders.

Skills

NLP techniques and language modeling concepts

Fine-tuning LLMs

Text processing and string operations in Python

Real-time/streaming data processing

Proficient in Python

Strong SQL skills

NLP libraries (e.g., spaCy, transformers)

Machine learning experimentation

Model evaluation and ablation studies

K-Means Clustering and SVM

Strong written and verbal communication

Project experience in NLP/AI

Tools

Databricks

AWS

GCP

Azure

Job description

KellyMitchell Group is looking for a Senior Data Scientist in Denver, Colorado, with experience in NLP techniques and LLMs. This hybrid position will involve analyzing NLP components, finetuning models, and collaborating with analysts to enhance data products. Candidates should be proficient in Python and SQL, with strong communication skills. The pay range is between $122,000 and $135,000, with additional benefits including employee stock ownership and 401K offerings.