Senior ML/AI Engineer
Richmond, Virginia, United States
USD 114K-227K Senior-level Full Time
Tasks
- Build automated reproducible training validation and model refresh pipelines
- Build train evaluate and deploy machine learning models
- Collaborate with product engineering and business teams on ML opportunities
- Design implement scalable features with Delta Lake Spark and Databricks Feature Store
- Design modular scalable ML architectures with APIs and microservices
- Develop A B tests and offline and online evaluation frameworks
- Develop CI/CD and automated model deployment pipelines
- Develop LLM driven applications and RAG systems
- Implement monitoring for drift model degradation and data quality
- Own end to end machine learning lifecycle with Databricks workflows MLflow feature store and model registries
- Perform statistical validation and communicate results
Perks/Benefits
- 401k match
- Employee assistance program
- Hybrid work option
- Paid Holidays
- Paid family leave
- Paid time off
- Remote work option
- Training and certification support
- Tuition reimbursement
- Wellness reimbursement
Skills/Tech-stack
A/B | A/B Testing | AWS | Agile | Azure | B testing | CI/CD | Databricks | Databricks Feature Store | Databricks Workflows | Deep learning | Delta Lake | Embeddings | Feature Store | Generative AI | Kubernetes | Language Processing | MLflow | Machine Learning | Model Monitoring | Model Registry | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Spark | Statistical Analysis | Testing | Transformers | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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