Generative AI (Gen AI) Developer

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 2 Year(s)
No Travel Required

Skills

Generative AI
Python
TensorFlow
PyTorch
NLP
AWS
Azure
or GCP
Natural language processing (NLP)
Machine learning (ML)

Job Details

Key Responsibilities:

  • Design, develop, and deploy Generative AI models (LLMs, transformers, diffusion
  • models, etc.) for business applications.
  • Build and fine-tune AI pipelines using natural language processing (NLP),
  • machine learning (ML), and deep learning techniques.
  • Collaborate with data scientists, engineers, and business stakeholders to
  • translate business needs into AI solutions.
  • Integrate AI models into scalable APIs and systems for enterprise-wide use.
  • Evaluate model performance, ensure compliance with data governance policies,
  • and implement responsible AI practices.
  • Stay current with advancements in the field of AI, especially LLMs (e.g., GPT,
  • BERT, LLaMA).

Required Skills:

  • Proven experience developing and deploying Generative AI or LLM-based
  • solutions.
  • Strong knowledge of Python, TensorFlow, PyTorch, and NLP libraries such as
  • Hugging Face Transformers or spaCy.
  • Experience with prompt engineering, fine-tuning LLMs, and leveraging foundation
  • models.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and MLOps tools.
  • Understanding of banking or financial services data and use cases is a plus.
  • Excellent problem-solving, communication, and collaboration skills.
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.