Machine Learning Engineer

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Role: Machine Learning Engineer (MLOps)

Location: Austin Texas (Onsite)

Type: 1099 Contract C2C

Job Description:

Experienced Machine Learning Engineer with 8 years of hands-on expertise deploying and scaling machine learning models in production environments.
Skilled in operationalizing complex models and integrating them into enterprise systems with a focus on performance scalability and governance.
Partner with data science and engineering teams to deliver optimize and maintain production-grade ML models and pipelines.
Deploy and manage end-to-end machine learning workflows from model development to operational monitoring.
Proficient in core ML algorithms such as Regression Classification and Natural Language Processing (sentiment analysis topic modeling TF-IDF).
Experienced with tools and frameworks including Scikit-learn VADER Sentiment Pandas and PySpark.
Design and maintain dynamic data pipelines tailored to specific use cases.
Integrate machine learning solutions within business workflows ensuring seamless coordination across upstream and downstream systems.
Develop and automate reporting pipelines for model performance metrics to support Model Risk Oversight and governance reviews.
Create and maintain runbooks for ongoing model support versioning and operational maintenance.

Job Role: Machine Learning Engineer (MLOps) Location: Austin Texas (Onsite) Type: 1099 Contract C2C Job Description: Experienced Machine Learning Engineer with 8 years of hands-on expertise deploying and scaling machine learning models in production environments. Skilled in operationalizing comple...