Machine Learning Engineer
Houston (TX, USA), United States
USD 120K-213K (estimate) Senior-level Full Time
Tasks
- Collaborate with data engineers and data scientists for end to end delivery
- Deploy and monitor machine learning models in production
- Design and implement machine learning pipelines
- Document and communicate model results using notebooks and dashboards
- Ensure IT security policies are followed in solution designs
- Evaluate machine learning models
- Implement MLOps best practices
- Integrate machine learning solutions with application development teams
- Perform feature engineering and hyperparameter optimization
- Research and implement new machine learning techniques
Perks/Benefits
- Competitive retirement program
- Employee mentoring
- Health insurance
- Paid time off
- Paid time off for new parents
- Paid time off for volunteering
- Paid time off to care for family members
- Training opportunities
- Vacation allowance
- Workplace flexibility
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | CI/CD | Cosmos DB | Dashboards | Data Factory | Data Lake Storage Gen2 | Data Lakehouse | Data Modeling | Data Warehousing | Databricks | Databricks MLFlow | Delta Lake | ETL | Event Hubs | Feature Engineering | Hyperparameter Optimization | Infrastructure as Code | Kafka | Keras | Kubernetes | Kubernetes Service | Machine Learning | Model Registry | Neo4j | Notebooks | OAuth | PyTorch | Python | RBAC | REST APIs | Ray | SQL | SQL Server | SQL analytics | Scikit-learn | Spark MLlib | TensorFlow | “as-code”
Education
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