ML Engineer - MLOps & AWS Pipelines

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

Job summary

Ethereum Technologies seeks an ML Engineer to design, develop, and deploy production-ready machine learning models. You will build end-to-end ML solutions with robust pipelines and MLOps practices, ensuring reliability at scale.

Proficiency in Python and AWS is required, with strong problem-solving skills and a pragmatic approach to monitoring, optimizing, and maintaining models in production environments. We value merit, inclusivity, and a collaborative mindset.

Qualifications

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

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

Python

AWS

Job description

Ethereum Technologies seeks an ML Engineer to design, develop, and deploy production-ready machine learning models. You will build end-to-end ML solutions with robust pipelines and MLOps practices, ensuring reliability at scale.

Proficiency in Python and AWS is required, with strong problem-solving skills and a pragmatic approach to monitoring, optimizing, and maintaining models in production environments. We value merit, inclusivity, and a collaborative mindset.