Production ML Engineer: Deploy & Scale Models

Createnano; Albuquerque (NM); On-site; USD 110,000 - 170,000; Full time

Job summary

Createnano in Albuquerque is seeking an ML Engineer to design, train, and deploy production-grade models including CNNs, LLMs, and diffusion pipelines on client systems and our SaaS products. The role emphasizes building robust ML pipelines and delivering reliable solutions in a client-facing environment.

You will work with PyTorch or TensorFlow, implement scalable production deployments, and contribute to MLOps tooling such as Ray and MLflow, leveraging strong Python skills to iterate rapidly

Qualifications

• 3+ years of ML engineering experience.
• Proficiency in PyTorch or TensorFlow.
• Experience deploying models to production (not just notebooks).
• Familiarity with MLOps tooling (Ray, MLflow, or similar).
• Strong Python fundamentals.

Skills

ML engineering

Python

Production deployment

MLOps tooling familiarity

LLM fine-tuning

Edge AI

Tools

PyTorch

TensorFlow

Ray

MLflow

Job description

Createnano in Albuquerque is seeking an ML Engineer to design, train, and deploy production-grade models including CNNs, LLMs, and diffusion pipelines on client systems and our SaaS products. The role emphasizes building robust ML pipelines and delivering reliable solutions in a client-facing environment.

You will work with PyTorch or TensorFlow, implement scalable production deployments, and contribute to MLOps tooling such as Ray and MLflow, leveraging strong Python skills to iterate rapidly