AI Engineer (Generative AI Focused)

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Requirements:

• Strong proficiency in Python and libraries like PyTorch, Diffusers, Accelerate, TensorFlow, OpenCV, Pillow.
• In-depth knowledge of LipSync and FaceSwap solutions, including proprietary and open-source frameworks.
• Solid experience with API integrations and video AI tools.
• Ability to design and train your own models from scratch, including data preparation.
• Familiarity with containerization technologies and deploying solutions in Docker.
• Strong understanding of cloud platforms such as AWS and Google Cloud.
• Proven experience and results in face swapping and lip syncing technologies.
• Expertise in training and customizing diffusion models and video AI pipelines.
• Willingness to work in a fast-paced environment.

Responsibilities:

• Develop and optimize workflows for LipSync and FaceSwapping using proprietary and open-source tools.
• Work with diffusion models such as Flux dev and Flux schnell.
• Design own APIs and utilize others for seamless integration of AI solutions.
• Knowledge of prompt engineering techniques for LLMs, image, and video generation tools.
• Deploy generative AI solutions using Docker, containerization, and cloud platforms like AWS and Google Cloud.
• Leverage platforms such as Replicate and Runpod for efficient deployment and scaling of AI solutions.