Machine Learning Engineer

Stellar IT Solutions LLC is hiring a remote Machine Learning Engineer in St. Louis, MO to translate machine learning and analytical strategies into reusable feature-engineering pipelines, end-to-end ML workflows, model lifecycle processes, and production operational integrations for Cisco Learning’s opportunity-assessment solution.

• Convert ML and analytical strategies into repeatable feature-engineering pipelines
  , ML workflows
  , model lifecycle processes
  , and operational integrations for Cisco Learning’s opportunity-assessment solution.
• Develop and maintain production-oriented ML solutions, including data preprocessing and transformation
  .
• Own ML pipeline development across the model lifecycle:
  model training and evaluation
  , model inference
  , and operational handoff.
• Support model registries
  , model versioning
  , and experiment tracking
  .
• Implement model monitoring and automated testing practices appropriate for production environments.
• Build retraining workflows to enable continued model performance over time.
• Enable reproducible ML pipelines
  , including data ingestion/access pipelines and integration with enterprise data environments
  .
• Integrate ML components into operational systems via APIs and/or downstream integrations
  .
• Work within cloud-based ML/data environments supporting end-to-end production delivery.

• Python
• SQL
• Pandas / Num Py or comparable data-processing libraries
• Ability to process both structured and unstructured data
• Strong software-development and version-control practices
• Hands‑on experience with:
  feature engineering
  , ML pipeline development
  , model training and evaluation
  , and model inference
• Experience with data preprocessing/transformation
• Scikit-learn or comparable ML frameworks
• Production-oriented ML development
• Model registries and model versioning
• Experiment tracking and model monitoring
• Automated testing and retraining workflows
• Reproducible ML pipelines and data ingestion/access pipelines
• Experience working in cloud-based ML/data environments
• APIs and/or downstream integrations and enterprise data environment experience

• Python
• SQL
• Pandas
• Num Py
• Scikit-learn
• MLflow

• ML Engineering + Feature Pipelines + Model Operationalization + MLOps + Data/ML Integration

• 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

Location
:
St. Louis, MO (remote)

Compensation
: USD 60 - 65 per hour