Lead AI/ML Engineer
Tasks
- Architect ML solutions
- Build scalable data pipelines
- Contribute to data mesh and streaming architecture
- Design build optimize algorithms in Vertex AI
- Develop data models for personalization churn prediction recommendation inputs
- Ensure data compliance privacy governance for PII
- Establish data lineage and metadata standards
- Implement CI/CD for data pipelines
- Implement data partitioning clustering materialized views
- Integrate data sources
- Lead code reviews and documentation standards
- Manage schema versioning
- Mentor junior AI/ML engineers
- Monitor pipeline health job success and data latency
- Productionize machine learning features
- Set data quality checks and auditing pipelines
- Translate business requirements into technical specifications
- Tune algorithm performance
Perks/Benefits
- Career roadmap
- Dental insurance
- Medical insurance
- PTO
- Training and educational opportunities
- Vision insurance
Skills/Tech-stack
API Gateway | Airflow | Automated testing | BigQuery | CI/CD | DBT | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Vault | ELT | ETL | GCP Storage | Git | Kafka | Kimball | Looker | Machine Learning | Materialized views | Metadata Management | MySQL | Prefect | Python | Query Optimization | Redis | SQL | Snowflake | Snowsight | Tableau | Vertex AI
Education
N/A
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