Machine Learning Engineer

Oorwin AI; St. Louis (MO); On-site; USD 120,000 - 150,000; Full time

Job summary

Cisco Learning is seeking a hands-on ML engineer to translate ML and analytics strategies into repeatable feature-engineering pipelines, ML workflows, and model lifecycle processes for the opportunity-assessment solution.

You will work on production-oriented ML development, MLflow tooling, and data ingestion/integration to support scalable ML deployments.

Qualifications

• Strong Python and SQL skills with data processing experience.
• Experience with Pandas/NumPy or equivalent libraries.
• Ability to handle structured and unstructured data.
• Familiarity with ML frameworks such as Scikit-learn.

Responsibilities

• Develop repeatable feature-engineering pipelines.
• Build ML workflows and model lifecycle processes.
• Enable production-oriented ML development and MLOps practices.
• Create data ingestion/access pipelines and downstream integrations.
• Collaborate on Cisco Learning’s opportunity-assessment solution.

Skills

Python

SQL

Data processing

Unstructured data processing

Version control

Tools

MLflow

Containerization

Model monitoring

Automated ML testing

Job 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.

Primary Focus

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

Feature engineering

• Model training and evaluation
• Data preprocessing/transformation
• Scikit-learn or comparable ML frameworks

Production-oriented ML development

MLOps / Model Lifecycle

• Experiment tracking
• Automated testing

Data / Integration

Data ingestion/access pipelines

• APIs and/or downstream integrations

Preferred Skills

MLflow or comparable ML lifecycle tooling

• Feature Store experience
• Containerization
• Model inference and monitoring
• Automated ML testing/retraining
• Production-oriented ML solutions
• Previous Cisco experience with the appropriate ML engineering skill set