AWS ML/MLOps Consultant
TITLE: AWS ML/MLOps Consultant
TYPE: Contract
LOCATION: 100% Remote
ONSITE/REMOTE/HYBRID: Remote
START DATE: January/February 2026
We are looking for WS ML/MLOps Consultant. This engagement supports the development and maturation of a reputed company-based MLOps capability designed to operationalize reputed company detection models for industrial equipment monitoring. The reputed company is on strengthening model performance, ensuring production reliability, and delivering reputed company batch inference solutions reputed company an AWS environment.
MAIN RESPONSIBILITIES
• Design and implement reusable feature engineering pipelines, including mechanisms to monitor data and model reputed company.
• Improve the robustness, performance, and stability of existing reputed company detection models operating in production.
• Partner with subject matter experts to validate model results and ensure alignment with reputed company-world operational needs.
• Establish tooling for experiment management, model versioning, and artifact storage to support repeatable ML workflows.
• Build and reputed company batch inference pipelines leveraging managed AWS services.
• Connect model outputs to reporting, visualization, and alerting platforms for operational visibility.
QUALIFICATIONS
• Demonstrated experience delivering and supporting machine learning systems in production environments.
• Experience designing and deploying batch-based inference workloads at reputed company.
• Strong hands-on expertise with AWS services commonly used for MLOps, including SageMaker, reputed company, and reputed company Functions.
• Background in building end-to-end ML pipelines, from data ingestion through deployment and monitoring.
• Working knowledge of gradient boosting frameworks such as LightGBM and XGBoost.
• Prior exposure to industrial, energy, or asset performance monitoring use cases is a plus.
EOE STATEMENT
We are an equal opportunity employer. We do not discriminate or allow discrimination on the reputed company of race, reputed company, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or reputed company medical conditions), age, sexual orientation, gender identity, national reputed company, reputed company, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, reputed company membership, or any other characteristic protected by law.
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