Senior AI Engineer (Generative AI Focus)

Overview

Remote
Depends on Experience
Full Time

Skills

GPT
PHD
DALL-E
Cloud
Python
LangChain
Chainlit
TensorFlow
PyTorch
GAN
Artificial Intelligence

Job Details

Job Title: Senior AI Engineer (Generative AI Focus)

Location: Remote (Anywhere in TX, OH)

Duration: Fulltime

 

Job Summary:

 

Senior AI Engineer specializing in Generative AI, will lead the design, development, and deployment of cutting-edge generative models that can create text, images, audio, or other types of media. This role involves deep technical expertise in the latest AI technologies, particularly in the realm of generative models like GPT and DALL-E. Will collaborate with diverse teams to innovate and enhance product offerings through generative AI applications.

 

Key Requirements:

 

  1. Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  2. Minimum of 5 years of experience in AI model development, with specific expertise in generative models.
  3. Experience in design and develop advanced generative AI models to support various business applications such as content creation, data augmentation, and automation.
  4. Expertise in prompt engineering, including designing effective prompts for various types of generative AI models.
  5. Hands-on experience in deploying AI solutions in cloud environments (AWS, Azure) using container technologies (Docker, Kubernetes).
  6. Strong working experience in programming languages such as Python and familiarity with AI development frameworks like LangChain, Chainlit, TensorFlow, PyTorch, and others.
  7. Demonstrated experience with transformer architectures, GANs (Generative Adversarial Networks), and other generative techniques.
  8. Solid understanding of data management and software architecture principles relevant to AI systems. Develop and manage robust data pipelines and infrastructures specifically suited for training and deploying generative models.
  9. Creativity and strategic thinking in applying AI to solve practical business challenges.
  10. Proven ability to lead projects and deliver innovative AI-powered products.
  11. Excellent problem-solving, analytical, and communication skills.
  12. Maintain up-to-date knowledge of emerging trends in AI, particularly generative AI, participating in workshops, conferences, and professional groups.
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