Staff Machine Learning Engineer - Analytics Automation
Tasks
- Architect self healing data pipelines
- Automate knowledge base creation and maintenance
- Build metric validation checks
- Design end-to-end ML pipelines
- Enable and train reporting teams for self serve
- Ensure single source of truth metric definitions
- Generate optimize and document ETL code with LLMs
- Implement feedback refresh loops for stale content
- Mentor engineers on code quality system design and experimentation
- Optimize semantic retrieval and query understanding
- Scale data and analytics services for low latency access
Perks/Benefits
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | Apache Spark | BigQuery | Cloud platform | Data Catalogs | Data Drift | Data Pipelines | Data profiling | ETL | Embeddings | Google Cloud | Google Cloud Platform | Java | Kubeflow | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Microservices | Model Deployment | Model lineage | Natural Language | Natural Language Processing | Presto | Python | RAG | Retrieval-Augmented Generation | SQL | Trino | Vector Databases | Vertex AI | Weights and Biases
Education
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