ML Engineer: MLOps & AWS Pipelines

Valiant Technologies LLC; Dallas (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Valiant Technologies LLC is seeking a skilled ML Engineer to design, build, and deploy machine learning models for production use. The role emphasizes end-to-end ML lifecycle responsibilities, including data handling, feature engineering, and model optimization within AWS cloud services.

Ideal candidates will have hands-on experience with ML pipelines, Python programming, and deployment practices in production environments.

Qualifications

• 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.

Responsibilities

• Design, develop, and deploy ML 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

Tools

AWS

Job description

Valiant Technologies LLC is seeking a skilled ML Engineer to design, build, and deploy machine learning models for production use. The role emphasizes end-to-end ML lifecycle responsibilities, including data handling, feature engineering, and model optimization within AWS cloud services.

Ideal candidates will have hands-on experience with ML pipelines, Python programming, and deployment practices in production environments.