Production AI/ML Engineer - End-to-End ML Systems NLP/TS/Rec

TechRuiter; United States; On-site; USD 110,000 - 140,000; Full time

Job summary

A cutting-edge technology company in the United States is seeking a hands-on AI/ML Engineer. The ideal candidate will build and deploy production-grade ML systems from the ground up, creating scalable ML pipelines and MLOps infrastructure. You'll need proven experience with Python, cloud platforms, and deploying ML models. Comfort with ambiguous requirements in a fast-paced environment is essential for success in this role, as well as expertise in relevant ML domains.

Qualifications

• 5+ years of experience with Python in production.
• Proven experience with multiple ML models deployed at scale.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Responsibilities

• Build and deploy production-grade ML systems from scratch.
• Develop scalable ML pipelines and MLOps infrastructure.
• Monitor models serving real users at scale.

Skills

Python

ML model deployment

Cloud platforms

SQL

NoSQL/vector databases

Bash and PowerShell scripting

NLP/LLMs experience

Time series analysis

Recommender systems

Job description

A cutting-edge technology company in the United States is seeking a hands-on AI/ML Engineer. The ideal candidate will build and deploy production-grade ML systems from the ground up, creating scalable ML pipelines and MLOps infrastructure. You'll need proven experience with Python, cloud platforms, and deploying ML models. Comfort with ambiguous requirements in a fast-paced environment is essential for success in this role, as well as expertise in relevant ML domains.