Sr Engineering Manager - Data and ML
Tasks
- Define ML and applied AI roadmap
- Design data pipelines and serving systems
- Drive data engineering best practices
- Implement ML and LLM models for seller insights
- Lead data and ML engineering team
- Make architectural decisions for distributed data systems
- Oversee model lifecycle training evaluation deployment monitoring
- Own end to end product capabilities
- Partner with product and data science stakeholders
- Provide mentorship and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agentic AI | Agile | Airflow | CI/CD | Data Architecture | Data Drift | Data Lineage | Data Quality | Distributed Systems | Docker | ETL | Elasticsearch | Embeddings | Feature Engineering | Fine Tuning | GraphQL | Hadoop | Hybrid search | Java | JavaScript | Jira | Kanban | Kotlin | Kubernetes | LLM | Language Models | Large Language Models | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Serving | Model retraining | OOP | OpenSearch | Python | RAG | REST | Ranking | Recommendation Systems | Reproducibility | SOLID | Scala | Scrum | Spark | Vector Databases
Education
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