Senior ML Systems Engineer for Distributed AI Platforms

Veriipro; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

Veriipro in Seattle seeks a senior machine learning engineer to design, develop, and maintain high-performance distributed systems for large-scale inference and data processing. You will build scalable ML pipelines for model training, deployment, monitoring, and lifecycle management, and design frameworks for multi-agent AI systems with robust state management.

Collaborating with cross-functional teams, you will optimize RAG pipelines, implement MLOps practices, and deploy AI-powered products in

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field.
• 5+ years in machine learning engineering or related roles.
• Experience building distributed systems and scalable backend architectures.
• Deep ML lifecycle knowledge: data ingestion, training, evaluation, deployment, monitoring.
• Hands-on with LLMs, RAG, and advanced prompt engineering.
• Production ML deployment and model maintenance experience.
• Strong Python programming.
• Experience with PyTorch and modern ML frameworks.
• Strong software engineering practices: testing, version control, and code quality.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and maintain high-performance distributed systems for ML inference and data processing.
• Build scalable ML pipelines for model training, deployment, monitoring, and lifecycle management.
• Design and implement frameworks for multi-agent AI systems with robust state management.
• Enhance RAG pipelines and context management to improve model accuracy and relevance.
• Develop platform tools for prompt engineering, evaluation, and experimentation.
• Deploy, monitor, and maintain ML models in production environments.
• Implement MLOps practices including versioning, observability, and automated pipelines.
• Collaborate with cross-functional teams to deliver AI-powered products and services.
• Optimize system performance, scalability, and reliability for high-volume workloads.
• Stay current with emerging ML frameworks and best practices.

Skills

Python

Distributed systems

Machine learning

LLMs

Prompt engineering

MLOps

Backend architectures

Software engineering

Testing & version control

Education

Bachelor's degree in CS or related field

Tools

PyTorch

Git

Docker

Kubernetes

Job description

Veriipro in Seattle seeks a senior machine learning engineer to design, develop, and maintain high-performance distributed systems for large-scale inference and data processing. You will build scalable ML pipelines for model training, deployment, monitoring, and lifecycle management, and design frameworks for multi-agent AI systems with robust state management.

Collaborating with cross-functional teams, you will optimize RAG pipelines, implement MLOps practices, and deploy AI-powered products in