AgreeYa Solutions - Plano, TX

posted 15 days ago

Full-time - Mid Level
Plano, TX
Professional, Scientific, and Technical Services

About the position

The Data Scientist ML Gen AI Engineer role focuses on developing and fine-tuning generative AI models. The position requires hands-on experience with machine learning applications, particularly in generative AI, and involves coding and problem-solving within the RAG architecture. The role is designed for individuals who can work independently and collaboratively to deliver innovative AI solutions.

Responsibilities

  • Develop and fine-tune generative AI models.
  • Write code and identify techniques for RAG architecture to solve problems.
  • Utilize machine learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Deploy ML models in production on cloud platforms like AWS, Google Cloud Platform, or Azure.
  • Conduct data preprocessing, feature engineering, and data visualization.
  • Evaluate and tune machine learning algorithms.

Requirements

  • Proven experience as a Machine Learning Engineer or Data Scientist with a focus on generative AI applications.
  • Hands-on experience with GenAI models.
  • Strong programming skills in Python.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Keras.
  • Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure).
  • Solid understanding of machine learning algorithms and model evaluation techniques.
  • Experience with data preprocessing and feature engineering.
  • Excellent problem-solving skills.

Nice-to-haves

  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service