Generative AI Engineer

Overview

On Site
$60,000 - $80,000
Full Time

Skills

Gen AI
Python
ML & Deep Learning
Data Engineering
Model Deployement
NLP
Prompt Engineering
DSA

Job Details

Technical Skills:
    • Programming Languages:
      Python is the go-to language for AI and machine learning due to its simplicity and extensive libraries.
  • Machine Learning and Deep Learning:
    A solid understanding of algorithms, neural networks, and deep learning techniques is crucial for building and training generative models.
  • Data Engineering:
    Skills in data cleaning, feature engineering, and data processing are essential for preparing data for training generative models.
  • Model Deployment and Scaling:
    Generative AI engineers need to be able to deploy and scale models efficiently, ensuring they can handle large datasets and real-time applications.
  • NLP (Natural Language Processing):
    For tasks involving text generation, understanding NLP principles and techniques is vital.
  • Computer Vision:
    If the models involve image or video generation, proficiency in computer vision techniques is necessary.
  • Prompt Engineering:
    The ability to craft effective prompts that guide generative AI models to produce desired outputs is essential.
  • Mathematics and Statistics:
    A strong mathematical and statistical foundation is necessary for understanding the underlying principles of machine learning and deep learning.
Other Important Skills:
  • Communication and Collaboration:
    Generative AI engineers often work in teams, so strong communication and collaboration skills are important.
  • Problem-Solving:
    The ability to identify and solve complex problems related to AI model development and deployment is critical.
  • Creativity and Innovation:
    Generative AI engineers need to be creative and innovative in their approach to solving problems and developing new AI solutions.
  • Ethical AI Practices:
    Understanding the ethical implications of generative AI and developing models that are fair and responsible is becoming increasingly important.
  • Domain Knowledge:
    Understanding the specific domain in which the generative AI model will be applied can help engineers develop more effective and relevant solutions.
  • Continuous Learning:
    The field of generative AI is constantly evolving, so a willingness to learn and stay up-to-date with the latest advancements is crucial.
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.