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Staff AI/ML Engineer & Data Scientist
ICONMA, LLC
Full-time
United States, United States
other-general
Posted:
February 27, 2026
Location:
United States, United States, United States
Job Description
Our Client, an EV Manufacturing company, is looking for a Staff AI/ML Engineer & Data Scientist for their Normal, IL/Remote location. Responsibilities:
+ ML Technical Leadership – Define ML architecture, best practices, and performance standards for enterprise-scale solutions.
+ End-to-End Model Development – Lead the full lifecycle from data preprocessing and feature engineering to training, validation, deployment, and monitoring.
+ Traditional ML Expertise – Apply algorithms such as regression, tree-based models, SVMs, clustering, and forecasting to solve high-impact problems ,feature engineering and hyper parameter tuning.
+ Programming & Integration – Build scalable ML pipelines and APIs in Python (primary) and Golang (for backend services).
+ MLOps Implementation – Design and manage CI/CD pipelines for ML, including automated retraining, model versioning, monitoring, and rollback strategies.
+ Statistical Analysis – ...
+ ML Technical Leadership – Define ML architecture, best practices, and performance standards for enterprise-scale solutions.
+ End-to-End Model Development – Lead the full lifecycle from data preprocessing and feature engineering to training, validation, deployment, and monitoring.
+ Traditional ML Expertise – Apply algorithms such as regression, tree-based models, SVMs, clustering, and forecasting to solve high-impact problems ,feature engineering and hyper parameter tuning.
+ Programming & Integration – Build scalable ML pipelines and APIs in Python (primary) and Golang (for backend services).
+ MLOps Implementation – Design and manage CI/CD pipelines for ML, including automated retraining, model versioning, monitoring, and rollback strategies.
+ Statistical Analysis – ...
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Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
United States, United States
Posted:
February 27, 2026
Deadline:
March 04, 2026