Job Description

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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