Senior ML/AI Engineer
Richmond, Virginia, United States
USD 114K-227K Senior-level Full Time
Tasks
- Build automated reproducible training and validation pipelines
- Build train evaluate deploy machine learning models
- Create CI CD model deployment pipelines
- Design implement scalable features with Spark and Delta Lake
- Design modular scalable ML architectures with APIs and microservices
- Develop A B tests and offline online evaluation frameworks
- Develop LLM driven applications with prompt engineering
- Document systems for maintainability and reuse
- Implement monitoring for drift and data quality
- Implement retrieval augmented generation systems
- Manage end to end ML lifecycle with Databricks workflows
- Perform statistical validation and communicate results
Perks/Benefits
- 401k matching
- Disability insurance
- Employee assistance program
- Gym membership reimbursement
- Healthcare coverage
- Hybrid work
- Life insurance
- Long-term care insurance
- Mental health support
- Paid Holidays
- Paid family leave
- Paid time off
- Remote work
- Training and certification support
- Tuition reimbursement
- Volunteer time off
Skills/Tech-stack
A/B | A/B Testing | AWS | Anomaly Detection | Azure | B testing | CI/CD | Databricks | Databricks Feature Store | Databricks Model Serving | Deep learning | Delta Lake | Delta Live Tables | Delta Live) | Docker | Embeddings | Experimentation | Feature Store | Fine Tuning | Generative AI | Kubernetes | LLM | LLM Fine-tuning | MLflow | Model Serving | Monitoring | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Spark | Statistical validation | Supervised Learning | Testing | Transformers | Unity Catalog | Unsupervised Learning | Vector Stores | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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