Machine Learning Engineer (MLOps)

DeepRec.ai • Full-time • San Francisco Bay Area, US • 6d ago

Job title: Founding MLOps Engineer

Location: Bay Area

Work Arrangement: Hybrid

Salary: $300k

Responsibilities

Design, implement, and maintain machine learning pipelines based on the product roadmap.
Develop and manage an asynchronous messaging protocol for both backend and frontend, ensuring optimization where needed.
Establish a monitoring and alerting system to detect issues, opportunities for optimization, and errors.
Conduct a comprehensive analysis of the video pipeline, outlining its interfaces, desired output quality, and required tasks.
Evaluate existing Gen-AI models, such as Stable Diffusion, GANs, and LLMs, to determine if they can deliver similar outcomes.
Explore and research new AI models to assess their potential in enhancing product performance.
Deploy AI models on in-house hardware, adjusting them with unique character art as needed, and integrate them into the broader platform.
Develop scalable, cost-efficient API connections for cloud-deployed models.

Requirements

Proven experience working with large-scale distributed systems and machine learning platforms.
Expertise in curating and bootstrapping datasets for large-scale image generation or classification tasks.
Strong proficiency in Python, PyTorch, and related machine learning libraries.
Ability to read and implement cutting-edge research papers in Generative AI, and collaborate with researchers for brainstorming and innovation.

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