Machine Learning Engineer

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