Develop and implement Generative AI models using deep learning frameworks like TensorFlow, PyTorch, or JAX
Design and build Generative AI pipelines and infrastructure on cloud platforms such as AWS, Google Cloud, and Azure
Conduct extensive data analysis and prepare high-quality data for Generative AI models
Evaluate and refine Generative AI models to achieve optimal performance and accuracy
Stay abreast of the latest Generative AI research and advancements
Collaborate with cross-functional teams to integrate Generative AI solutions into our products and services
Qualifications
Master's Degree in Computer Science, Artificial Intelligence, or a related field
5+ years of hands-on experience in developing and implementing machine learning models
Demonstrated proficiency in deep learning frameworks, including TensorFlow, PyTorch, or JAX
In-depth understanding of Generative AI techniques, such as generative adversarial networks (GANs), variational autoencoders (VAEs), and diffusion models
Solid knowledge of cloud platforms like AWS, Google Cloud, or Azure for deploying and managing AIML solutions
Excellent problem-solving and analytical skills
Ability to work independently and as part of a team in a fast-paced environment.