Director, ML Engineering
Columbia, Maryland, United States (Hybrid)
R
USD 175K-225K Executive-level Full Time
Tasks
- Architect implement and maintain scalable MLOps systems
- Build and oversee CI CD pipelines for ML
- Define and implement MLOps lifecycle
- Deploy monitor scale and maintain ML models
- Design build deploy and scale ML pipelines
- Drive LLM and RAG deployments in production
- Ensure production reliability performance and maintainability
- Implement end-to-end machine learning systems
- Lead mentor and manage ML engineers
- Maintain data governance SOPs and compliance
- Oversee data privacy and regulatory compliance for ML
- Own ML engineering architecture and MLOps operations
- Perform code reviews and enforce coding standards
- Translate AI and product priorities into ML solutions
Perks/Benefits
- Dental insurance
- Dependent Care Account
- Health savings account
- Life and disability insurance
- Medical insurance
- Paid time off
- Retirement benefits
- Vision insurance
Skills/Tech-stack
Amazon Web Services | Apache Spark | Automated retraining | Azure | CI/CD | Cloud platform | Data Governance | Databricks | Feature Stores | GDPR | Generative AI | Git | Google Cloud | Google Cloud Platform | HIPAA | HITRUST | ISO 13485 | Jenkins | LLM | MLOps | Machine Learning | Model Monitoring | Model versioning | PyTorch | Python | RAG | SOC 2 | SOC2 Compliance | SQL | Web Services
Education
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