Hiring: Data Scientist Company: SOLTECH Location: Duluth, GA Job Posted Time: 2026-09-03 11:18:07 Employment Type: On-site Target Skills & Keywords : AWS, Agile, ClickHouse, Data Pipeline, MLOps, Machine Learning, Product Management, PySpark, Python, SQL, SageMaker About the job Experience: •5+ years of experience designing and delivering production machine learning or advanced analytics solutions. Required Skills: •Design, build, deploy, and operationalize production-grade machine learning solutions using AWS services. •Develop scalable, repeatable machine learning pipelines supporting model training, validation, deployment, monitoring, and lifecycle management. •Build anomaly detection and predictive analytics models capable of supporting near real-time decision making. •Engineer robust, production-scale data pipelines using AWS Glue, PySpark, SQL, and cloud-native technologies. •Process and analyze large-scale streaming IoT data. •Perform feature engineering, model experimentation, evaluation, and performance optimization for production environments. •Deploy machine learning models using AWS SageMaker and implement monitoring, retraining, automation, and governance throughout the ML lifecycle. •Partner cross-functionally with Product Management and software engineering teams to translate business challenges into scalable machine learning solutions. Qualifications: •Demonstrated success deploying machine learning models into production environments. •Strong experience building scalable machine learning pipelines and production data workflows. •Applied hands-on capability in AWS SageMaker, AWS Glue, and related AWS analytics services. •Strong production experience with PySpark and distributed data processing. •Strong Python programming skills utilizing modern machine learning libraries. •In-depth knowledge of feature engineering, model evaluation, experimentation, and production optimization. •Excellent analytical, problem-solving, and communication skills with the ability to translate business problems into scalable technical solutions. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!