We are accepting only candidates from USA!
What we're looking for
Highly skilled and innovative ML Workflow Engineer who is an expert in creating creative diffusion-based image-generation pipelines.
The ideal candidate will have a deep understanding of and extensive experience with ComfyUI, Automatic1111, or other diffusion pipelines.
Key qualifications include:
• Expertise in Diffusion-Based Image-Generation Pipelines: Proven ability to develop and optimize diffusion-based pipelines for generating consistent characters and animations.
• Proficiency in Python: Advanced proficiency in Python programming, with a strong portfolio demonstrating the development of image-generation models and tools.
• Proficiency with technology enabling local inference of neural networks, like ONNX runtime, Modular.
• Experience with Key Tools: Extensive hands-on experience with ComfyUI, Automatic1111, Hugging Face showcasing a thorough understanding of their capabilities and applications.
• Community Engagement: Active participation in relevant ML and AI communities, staying abreast of the latest advancements and contributing to discussions and developments.
• Creativity and Innovation: A knack for creative problem-solving and a passion for pushing the boundaries of what's possible in image generation.
If you are a wizard in diffusion-based image-generation pipelines and eager to contribute to cutting-edge projects in a collaborative and forward-thinking environment, we want to hear from you!
Responsibilities Qualifications
• Advanced Degree: Bachelor's or Master’s degree in Computer Science, Machine Learning, or a related field.
• Experience with Diffusion Models: Proven experience in developing and deploying diffusion-based image-generation pipelines.
• Proficiency in Python: Advanced proficiency in Python, with a strong portfolio of projects demonstrating expertise in ML and AI.
• Hands-on Experience with Tools: Extensive experience with ComfyUI, Automatic1111, diffusers library or other diffusion framework.
• Machine Learning Expertise: Deep understanding of machine learning principles, algorithms, and techniques, particularly in the context of image generation.
• Creative Problem-Solving: Strong creative and analytical problem-solving skills, with the ability to innovate and push the boundaries of current capabilities.
• Community Engagement: Active participation in relevant ML and AI communities, staying informed about the latest advancements and contributing to discussions and developments.
• Collaboration Skills: Excellent interpersonal and communication skills, with a proven ability to work effectively in a team-oriented environment.
• Performance Optimization: Experience in optimizing the performance of ML models, ensuring efficiency and scalability.
• Technical Documentation: Ability to develop comprehensive documentation and training materials.
• Troubleshooting Skills: Strong troubleshooting and problem-solving abilities, with experience in providing technical support and resolving complex issues.
• Research and Development: Experience in conducting research and development to explore new techniques and methodologies.
• User-Centric Approach: A user-centric approach to design and development, with experience in gathering and integrating user feedback.
• Code Quality: Commitment to maintaining high standards of code quality, including writing clean, maintainable code and conducting regular code reviews.
• Artistic Collaboration: A passion for the intersection of technology and art, with an understanding of the needs and workflows of artists.
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