Lead ML & AI Engineer
Tasks
- Analyze complex datasets to surface business insights
- Apply data quality checks validation logic monitoring
- Build analytical datasets metrics semantic layers for dashboards
- Collaborate to clarify requirements and deliver solution design
- Design data ingestion and transformation pipelines
- Implement taxonomy alignment metadata enrichment
- Integrate analytics pipelines with GenAI and agentic AI components
Perks/Benefits
- Career development
- Collaborative work environment
- Continuous learning
- Cross-functional collaboration
- Inclusive workplace
- Ownership culture
Skills/Tech-stack
APIs | Amazon QuickSight | Artificial Intelligence | Data Ingestion | Data Modeling | Data Pipelines | Data Quality | Data Taxonomy | Data Transformation | Data Validation | Data Visualization | ELT | ETL | GenAI | Machine Learning | Metadata Management | SQL | Tableau
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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