Generative AI Model Development Specialist

2 days ago

Atlanta, Georgia, United States PRGX Global Full time
About the Opportunity:

We are seeking an experienced Generative AI Model Development Specialist to join our team at PRGX Global. In this role, you will be responsible for designing, developing, and implementing cutting-edge generative models. Your technical expertise will drive innovation and provide guidance to junior data scientists. The ideal candidate will have strong experience in deploying Generative AI-based solutions in production and staying up-to-date with the latest research and advancements in Generative AI and related fields.

This is a challenging opportunity for an experienced professional to take their career to the next level while contributing to the success of our organization.

Key Responsibilities:
  • Design, develop, and deploy generative AI models for various applications with a focus on text generation and sematic entity extraction.
  • Collaborate with stakeholders to identify business needs, define project scopes, and establish data-driven solutions.
  • Mentor junior data scientists/interns, providing guidance on best practices and industry standards.
  • Stay up-to-date with the latest research and advancements in Generative AI and related fields.
  • Collaborate with other teams to integrate models into production environments.
  • Establish and maintain documentation for models, algorithms, and processes.
  • Ensure all projects meet quality, performance, and security standards.
  • Communicate complex concepts and findings effectively to both technical and non-technical audiences.
Requirements:
  • Master's degree in Computer Science, Statistics, Mathematics, or a related field required.
  • Ph.D preferred.
  • Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI-based solutions in production.
  • Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
  • Strong background in machine learning, deep learning, and probabilistic modeling.
  • Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
  • Experience designing and implementing large-scale data pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Excellent communication and teamwork skills.
  • Experience mentoring junior colleagues and interns.

Estimated salary: $160,000 - $200,000 per year based on location and experience.

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