Generative AI Engineer
Remote
Information
We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic AI team. As a Generative AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge Generative AI models and algorithms. You will work closely with cross-functional teams to identify business requirements and create solutions that drive innovation and business growth.
Responsibilities and Duties:
Research, design, and develop state-of-the-art Generative AI models and algorithms
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions
Implement and optimize deep learning models for generative tasks such as image synthesis, voice generation, and text generation
Conduct model training, validation, and evaluation to ensure performance and accuracy
Collaborate with data scientists and domain experts to acquire and preprocess relevant data for AI model learning
Enhance existing Generative AI models by employing techniques such as transfer learning and reinforcement learning
Stay updated with the latest research and advancements in Generative AI and contribute to the organization's knowledge base
Troubleshoot and resolve any issues or bottlenecks related to model performance or deployment
Collaborate with software engineers to integrate Generative AI models into production systems
Document and maintain comprehensive technical specifications, user guides, and project plans
Company
Realign LLC
Requirements
Qualifications and Skills:
Bachelor's or higher degree in Computer Science, Engineering, or a related field
Proven experience in designing and implementing Generative AI models and algorithms
Proficiency in programming languages such as Python, Java, or C++
In-depth knowledge of deep learning frameworks including TensorFlow, PyTorch, or Keras
Strong understanding of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other generative techniques
Solid understanding of fundamental concepts in machine learning and neural networks
Experience with large-scale data processing and distributed computing frameworks
Excellent problem-solving and analytical skills
Strong communication and collaboration abilities
Ability to work in a fast-paced and dynamic environment