Senior Machine Learning Engineer
Tasks
- Build data pipelines for collection curation and provenance
- Collaborate with software systems and product teams
- Conduct CI CD for models
- Deploy and monitor machine learning systems
- Design end-to-end machine learning solutions
- Implement MLOps and LLMOps pipelines
- Lead model training and evaluation
- Manage model versioning and experiment tracking
- Mentor teammates and maintain coding standards
- Own and ship machine learning in production
Perks/Benefits
Skills/Tech-stack
Apache Spark | CI/CD | Canary deployments | Data Engineering | Data Pipelines | Databricks | Deep learning | Delta Lake | Docker | Experiment tracking | Feature Engineering | Incident Response | Kubernetes | LLMOps | MLOps | MLflow | Machine Learning | Model Evaluation | Model Registry | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Rust | SQL | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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