Machine Learning Engineer

Remote in Saint Louis, MO, US • Posted 6 hours ago • Updated 1 hour ago
Full Time
Part Time
On-site
USD $60-65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • MACHINE LEARNING
  • PYTHON
  • SQL
  • Model Design

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91118290
  • Position Id: Stellar - 17755-36449-1790866992
  • Posted 6 hours ago
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