ML Engineer: End-to-End ML Pipelines & AWS

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Machine Learning Technologies, LLC seeks an ML Engineer to design, develop, and deploy machine learning models in production. You will build scalable ML pipelines, apply MLOps practices, and leverage Python and AWS to deliver robust solutions.

You will monitor and optimize models in production, collaborate with cross-functional teams, and contribute to an equal-opportunity, merit-based workplace.

Qualifications

• Experience designing, building and deploying ML models in production.
• Familiarity with ML pipelines, model monitoring and governance.

Responsibilities

• Design, develop, and deploy machine learning models.
• Build and maintain ML pipelines using MLOps practices.
• Develop ML solutions using Python and AWS cloud services.
• Monitor, optimize, and maintain ML models in production.

Skills

ML Engineering

MLOps

Tools

Python

AWS

Job description

Machine Learning Technologies, LLC seeks an ML Engineer to design, develop, and deploy machine learning models in production. You will build scalable ML pipelines, apply MLOps practices, and leverage Python and AWS to deliver robust solutions.

You will monitor and optimize models in production, collaborate with cross-functional teams, and contribute to an equal-opportunity, merit-based workplace.