Data Specialist (Gen AI, LLM, NLP)

  • Posted 1 day ago | Updated 3 hours ago

Overview

Remote
$DOE
Full Time
Accepts corp to corp applications

Skills

ML
LLM
NLP
Data Processing

Job Details

Job Title: Data Specialist (Gen AI, LLM, NLP)

Location: Remote (Anywhere in US)

Key Responsibilities:

  • Develop and optimize machine learning and deep learning models using frameworks like TensorFlow and PyTorch.

  • Work with LLMs (e.g., GPT, LLaMA, etc.) for text generation, classification, summarization, Q&A, and other NLP tasks.

  • Design and refine prompts and implement prompt engineering techniques to improve model performance and output reliability.

  • Conduct data preprocessing, including cleaning, transformation, and annotation, with an emphasis on unstructured healthcare data (e.g., clinical notes, EHRs).

  • Deploy models into production environments using MLOps tools and best practices.

  • Collaborate with stakeholders to translate business requirements into scalable technical solutions.

  • Implement methods for model output testing, validation, and quality assurance to ensure compliance, accuracy, and alignment with domain needs.

  • Stay current with research and advancements in GenAI, LLMs, and NLP and proactively incorporate learnings into team projects.

  • Contribute to the development of reusable components, libraries, and internal tools for accelerating GenAI use cases.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.

  • Strong foundation in machine learning and deep learning concepts.

  • Hands-on experience with ML frameworks like TensorFlow and PyTorch.

  • Proven expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral.

  • Experience in prompt engineering for optimizing generative AI outputs.

  • Proficiency in data preprocessing techniques, especially for healthcare datasets.

  • Familiarity with model deployment pipelines and tools (e.g., Docker, Kubernetes, MLflow).

  • Ability to translate business needs into technical workflows and AI models.

  • Strong analytical, communication, and documentation skills.

  • Experience with testing and validating ML model outputs for reliability and bias.


Accliive, is an IT Consulting Company working with Fortune 500 clients and is based out of Boston, MA. Accliive works extensively in all the major industries like BFSI, Oil and Gas, Utilities, Healthcare and many more. Acclive is focused on providing customer centric solutions and career centric solutions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.