I am partnered with an exciting Fashion Tech startup who recently closed a seed round of funding and already has an established client base. They are looking to expand their team with a Machine Learning Enginee r, who is able to work Hybrid out of their NYC Office.

Responsibilities:

? Fine-tuning Diffusion models for image generation

? Design, deploy, and maintain Diffusion models for cloud-based inference

? Transform research models into production-ready demos and MVPs

? Optimize model inference for improved performance and scalability

? Ensure high availability and reliability of model serving infrastructure

? Ensure security best practices across the ML infrastructure

? Develop and maintain robust APIs for serving machine learning models

Qualifications:

? Strong proficiency in Python for machine learning, transformer models, data analysis, and other NN architectures.

? Fine-tuning Diffusion models for image generation, image upscaling, in and out painting models, etc.

? Deep understanding of how to effectively evaluate image generative models

? Strong proficiency in PyTorch, transformer models

? Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying and scaling ML services

? Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)

? Proven track record in rapid ML model prototyping using tools like Streamlit or Gradio

? Experience with distributed task queues and scalable model serving architectures

? Understanding of monitoring, logging, and observability best practices for ML systems.

• It is strongly preferred that candidates come from a SaaS start up or a small start up environment.

This role cannot offer any VISA Sponsorship. Candidates must be a US Citizen or Greencard Holder