Senior ML Engineer — Production AI & MLOps

SOLTECH; Duluth (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

SOLTECH is seeking a Senior Data Scientist (Machine Learning & MLOps) to design, deploy, and operationalize production ML solutions for a water utility platform. You'll focus on scalable data pipelines, model deployment, monitoring, and governance to enable future AI initiatives across the business.

The role combines deep data science with ML engineering, working with streaming IoT data, PySpark, SQL, and AWS services to deliver real-time insights and reliable production systems.

Qualifications

• Strong background in data science with production ML experience.
• Proficient in Python and modern ML libraries; experience with streaming data helps.
• Hands-on MLOps experience: deployment, monitoring, versioning, and governance.

Responsibilities

• Design, deploy, and operationalize ML solutions at scale on AWS.
• Build scalable ML pipelines for training, validation, and deployment.
• Develop anomaly detection and predictive analytics for IoT data.
• Collaborate with software engineers to productionize models.
• Establish reusable ML frameworks and automate workflows.

Skills

Python

AWS SageMaker

MLOps

SQL

PySpark

Communication

Education

Bachelor's in CS/Stats/Math

Tools

Git

Docker

Apache Spark

Job description

SOLTECH is seeking a Senior Data Scientist (Machine Learning & MLOps) to design, deploy, and operationalize production ML solutions for a water utility platform. You'll focus on scalable data pipelines, model deployment, monitoring, and governance to enable future AI initiatives across the business.

The role combines deep data science with ML engineering, working with streaming IoT data, PySpark, SQL, and AWS services to deliver real-time insights and reliable production systems.