Remote Machine Learning Engineer — Production-Ready AI

Bright Vision Technologies; Oregon; Hybrid; USD 115,000 - 165,000; Full time

Job summary

Bright Vision Technologies seeks a seasoned Machine Learning Engineer to develop, train, evaluate, and operationalize ML models for production applications. The role collaborates with data scientists and software teams across data prep, feature engineering, and deployment, delivering measurable model performance.

You will contribute to datasets, pipelines, and reproducible experiments, ensuring robust inference and scalable serving across cloud and API interfaces.

Qualifications

• 5+ years in ML engineering or production model development.
• Strong Python and ML libraries experience (scikit-learn, Pandas, NumPy).
• Experience with model deployment, evaluation, and iteration.

Responsibilities

• Prepare datasets, engineer features, and build reproducible training and validation pipelines.
• Develop, tune, and evaluate models for classification, regression, ranking, or forecasting use cases.
• Implement model-serving components and integrate inference with APIs and data platforms.
• Track model performance, detect drift, and recommend retraining or improvement actions.
• Document experiments, model assumptions, evaluation results, and decisions for stakeholders.

Skills

Python

Scikit-learn

Pandas

NumPy

PyTorch

TensorFlow

APIs

Git

Data pipelines

Tools

Cloud ML Services

Docker

Kubernetes

Job description

Bright Vision Technologies seeks a seasoned Machine Learning Engineer to develop, train, evaluate, and operationalize ML models for production applications. The role collaborates with data scientists and software teams across data prep, feature engineering, and deployment, delivering measurable model performance.

You will contribute to datasets, pipelines, and reproducible experiments, ensuring robust inference and scalable serving across cloud and API interfaces.