Data & AI/ML Engineering
New York, New York, United States, Remote
R
USD 145K-175K (estimate) Mid-level Full Time
Tasks
- Apply infrastructure as code
- Build ETL/ELT workflows
- Build feature stores
- Collaborate with research teams to productionize models
- Deploy and serve machine learning models
- Design data pipelines
- Design training infrastructure
- Document cloud infrastructure
- Ensure Data reliability
- Implement monitoring and observability
- Manage vector databases
- Optimize data latency
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Cloud platform | DBT | Data Modeling | Docker | Feature Engineering | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Microsoft Azure | Model versioning | Monitoring | Observability | Python | SQL | Semantic data | Semantic data modeling | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer | ML Engineer
Regions
Countries
States
Cities
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