Staff Machine Learning Engineer
Tasks
- Build RAG systems and LLM powered diagnostics and automation
- Build reusable ML infrastructure for features experimentation deployment and monitoring
- Develop production machine learning models for ETA risk anomaly and fraud
- Establish offline and online evaluation frameworks
- Implement guardrails evaluation and explainability for generative AI
- Monitor model performance and run root cause analysis
- Translate business workflows into measurable machine learning problems
- Write production quality code for scalable ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Apache Airflow | Apache Kafka | Apache Spark | Bias detection | Data Drift | Data Drift Detection | Databricks | Drift Detection | Embeddings | Evaluation | Feature Engineering | Fraud Detection | Geospatial Data | LLM | MLOps | MLOps tooling | Machine Learning | Model Monitoring | Probabilistic Modeling | Python | Retrieval-Augmented Generation | SQL | Snowflake | Transformers | Tree-based Models | Vector Databases
Education
N/A
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