Sr Machine Learning Engineer
USA - NY - 7 Hudson Square, United States
USD 148K-190K Senior-level Full Time Found 4d ago
Tasks
- Design scalable ML pipelines using orchestration tools
- Develop and deploy ML models for audience identity and cross-platform measurement
- Ensure data privacy and governance compliance
- Implement MLOps practices including CI/CD, model versioning, and monitoring
- Lead experiment design, interpret results, and translate findings for product teams
- Mentor junior engineers and share best practices
- Perform feature engineering and data preparation in Snowflake or Databricks
Perks/Benefits
Skills/Tech-stack
Airflow | Cloud Native | Cloud-native data platforms | Code review | Data Governance | Data Pipelines | Data Privacy | Data integration | Data platforms | Databricks | Deep learning | Distributed Processing | Docker | Drift Detection | Kafka | Kinesis | Kubernetes | Lineage Tracking | MLOps | MLflow | Metadata Management | Model Deployment | Model Monitoring | Production Deployment | Pub/Sub | PyTorch | Python | Real Time | Real-time Data | Real-time data pipelines | SQL | Search Systems | Snowflake | Unit Testing | Vector Databases | Version control
Education
Bachelor's | Master's | PhD
Regions
Countries
States
Cities
Language: en |
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