ML Engineer (Stable Diffusion & Dreambooth Developer)

We are in search of an enthusiastic and experienced Machine Learning Engineer with a specialization in Stable Diffusion and Dreambooth development to join our team. The ideal candidate will have a strong background in developing and refining Dreambooth from StableDiffusion custom models of versions 1.5, 2.0 and XL 1.0.

Key Responsibilities:

1. Train, evaluate, and optimize SD models to ensure the highest levels of performance.
2. Work with the DevOps team to deploy ML solutions in a scalable and cost-effective manner.

3. Monitor deployed models, update as necessary, and ensure models remain effective in changing conditions.

4. Collaboration & Communication:

5. Collaborate with cross-functional teams including data scientists, software engineers, and product managers to define project requirements and deliverables.

6. Present findings, strategies, and improvements to both technical and non-technical stakeholders.

7. Stay up-to-date with the latest industry trends and techniques, and continuously enhance our ML capabilities.

8. Documentation:

9. Document development processes, pipelines, and other important aspects of the projects to ensure knowledge continuity and clarity.

10. Create clear and concise technical reports detailing methodologies, results, and recommendations.

Qualifications:

• Bachelor’s degree not necessary, but preferred if you have one in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Minimum of 1 year of experience in machine learning engineering, with a focus on Stable Diffusion and/or Dreambooth development. Should showcase projects on this matter.
• Better if have experience in cloud environments like Amazon Web Services.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to explain complex concepts to a diverse audience.