Machine Learning Engineer
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Machine Learning Engineer
Remote
3-6+ Months
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.
Primary Focus
ML Engineering + Feature Pipelines + Model Operationalization + MLOps + Data/ML Integration
Required Skills
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
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