Sr Machine Learning Engineer
Irving-750 West John Carpenter, United States
R
USD 112K-185K Senior-level Full Time
Tasks
- Apply MLOps for model lifecycle management
- Benchmark machine learning algorithms
- Build scalable machine learning pipelines
- Create data analytics pipelines
- Define machine learning system architecture
- Deploy machine learning models
- Design machine learning models
- Develop APIs and microservices for ML models
- Develop tools and applications for ML integration
- Document ML systems and workflows
- Ensure data privacy and security compliance
- Implement CI CD and unit testing
- Monitor and maintain model performance
- Optimize model performance and accuracy
- Participate in agile ceremonies
- Perform data cleaning and transformation
Perks/Benefits
- 401k retirement plan
- CVS store discount
- Education assistance
- Employee stock purchase plan
- Free development courses
- Life insurance
- Long-term disability
- Medical, dental, vision benefits
- Paid Holidays
- Paid time off
- Short-term disability
- Wellbeing programs
- Wellness programs
Skills/Tech-stack
AWS | Agile | Azure | C++ | CI/CD | CSS | Confluence | Data Lineage | Data Privacy | Data Security | Distributed Training | Docker | Feature Engineering | GCP | Git | HTML | Hyperparameter Tuning | JSON | Java | JavaScript | Jenkins | Jira | Kubernetes | Microservices | Model Hosting | Model Monitoring | Model Orchestration | Model Training | Model Validation | Model versioning | Pandas | Python | REST APIs | Rally | SQL | Spark | Supervised Learning | Unit Testing | Unsupervised Learning | XML
Education
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