ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 85,000 - 116,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an ML Engineer in Dallas, TX to design, develop, and deploy production ML models. You will build and maintain ML pipelines using MLOps best practices, and develop solutions leveraging Python and AWS cloud services.

You will monitor, optimize, and maintain models in production, ensuring performance and reliability in a dynamic insurance domain. Employment type options include W-2, 1099, or C2C with typical US work authorization requirements.

Qualifications

• Experience designing production ML models and pipelines.
• Strong Python development skills.
• Familiarity with cloud services and ML deployment.
• Ability to monitor and optimize 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

Job Overview

• Job ID: J53847
• Job Title: ML Engineer
• Location: Dallas, TX
• Duration: 14 Months + Extension
• Duration: 8 Months + Extension
• Domain Exposure: Insurance
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
• Bill Rate: $73/hour (C2C)

Required Skills

• Machine Learning (ML) Engineering
• MLOps
• Python
• AWS

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.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.