Senior Staff Machine Learning Platform Engineer
Tasks
- Adopt Unity Catalog
- Architect scalable ML workflows
- Build data and ML mesh patterns
- Define ML platform architecture
- Design multi workspace strategies
- Develop inference pipelines
- Develop training pipelines
- Drive ML governance and standards
- Enable observability for ML systems
- Establish code quality and testing standards
- Implement MLOps with CI CD
- Integrate emerging Databricks features
- Lead experimentation and model lifecycle management
- Mentor ML engineers
- Optimize performance, reliability, and cost
- Serve as ML technical advisor
Perks/Benefits
Skills/Tech-stack
AWS | Amazon S3 | Amazon SageMaker | Apache Airflow | Apache CockroachDB | Apache Iceberg | CI/CD | Cloud Architecture | Databricks | Datadog | Delta Lake | Distributed Systems | Docker | Fivetran | Generative AI | GitHub Actions | Kafka | Kotlin | Kubernetes | LLM | MLOps | MLOps CI/CD | MLflow | Machine Learning | MySQL | PySpark | PyTorch | Python | SQL | Snowflake | Spark | Terraform | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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