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# Machine Learning Engineer

- **Company:** Stellar IT Solutions
- **Location:** Saint Louis, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Cloud Computing, Data Cleansing, Data Infrastructure, Monitoring of Systems, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Standard Sql, Azure Machine Learning, Unstructured Data, Enterprise Data Management, Feature Store, Data Processing, Feature Engineering, Data Ingestion, Pandas, Containerization, Scikit Learn, Enterprise Integration, Machine Learning Operations, Model Inference, Software Version Control, Data Pipelines, Cisco
- **Published:** October 2, 2026
- **Apply:** https://www.dice.com/job-detail/5c5b2ccc-e79c-4d3d-9f05-c9a990832698

## About the Role

Languages & Data

 * Strong Python

 * SQL
 * Pandas / NumPy or comparable data-processing libraries
 * Structured and unstructured data processing
 * Software-development and version-control practices

ML Engineering

Feature engineering

 * ML pipeline development
 * Model training and evaluation
 * Model inference
 * Data preprocessing/transformation
 * Scikit-learn or comparable ML frameworks

Production-oriented ML development

MLOps / Model Lifecycle

Model registries

 * Model versioning
 * Experiment tracking
 * Model monitoring
 * Automated testing
 * Retraining workflows

Reproducible ML pipelines

Data / Integration

Data ingestion/access pipelines

 * Cloud-based ML/data environments
 * APIs and/or downstream integrations

Enterprise data environment

Preferred Skills

MLflow or comparable ML lifecycle tooling

 * Feature Store experience
 * Containerization
 * Cloud ML platforms
 * API/integration development
 * NLP/text-processing pipelines
 * Document/vector ingestion
 * Model inference and monitoring
 * Automated ML testing/retraining
 * Enterprise data-platform experience
 * Production-oriented ML solutions
 * Previous Cisco experience with the appropriate ML engineering skill set

## Description

Hands-on engineering resource responsible for converting ML and analytical strategies into repeatable feature-engineering pipelines, ML workflows, model lifecycle processes, and operational integrations in support of Cisco Learning s opportunity-assessment solution.