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
• Design and Develop Diffusion-Based Pipelines: Create and optimize diffusion-based image-generation pipelines tailored for artists, ensuring high-quality and consistent outputs, using either ComfyUI,, Automatic1111 or custom Python code.
• Integrate and Customize Tools: Leverage and customize tools such as ComfyUI, Automatic1111 or diffusers to meet the specific needs of our creative tool, ensuring seamless integration and usability.
• Collaborate with Artists and Designers: Work closely with artists and designers to understand their workflow needs and translate these into effective AI-driven solutions.
• Stay Current with Advancements: Continuously monitor and integrate the latest advancements in machine learning and image generation, ensuring our tools remain cutting-edge.
• Community Engagement: Actively participate in ML and AI communities, contributing insights and staying informed about emerging trends and technologies.
• Optimize Performance: Analyze and optimize the performance of image-generation models, ensuring efficiency and scalability in production environments.
• Documentation and Training: Develop comprehensive documentation and training materials to support users in effectively utilizing the creative tool.
• Troubleshoot and Support: Provide technical support and troubleshooting for any issues related to the image-generation pipelines, ensuring minimal downtime and maximum productivity for users.
• Conduct Research and Development: Engage in R&D to explore new techniques and methodologies that can enhance the capabilities of our creative tool.
• Collaborate with Development Teams: Work alongside other developers to ensure the seamless integration of AI workflows within the overall architecture of the creative tool.
• User Feedback Integration: Gather and analyze user feedback to continuously improve the functionality and user experience of the creative tool.
• Maintain Code Quality: Ensure high standards of code quality, including writing clean, maintainable code and conducting regular code reviews.
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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