AI Engineer, Business Operations
Paramus, NJ, United States
USD 133K-215K (estimate) Mid-level Full Time
Tasks
- Automate testing for model releases
- Build APIs for model inference
- Containerize model services
- Create documentation and reusable templates
- Deploy models to cloud and on prem environments
- Design inference pipelines
- Implement CI/CD for model deployment
- Implement batch and real-time inference
- Integrate models with data pipelines
- Optimize latency throughput and cost for model serving
- Productionize machine learning models into scalable services
- Set up monitoring and observability
- Track data drift and model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Spark | Automated testing | CI/CD | Docker | Feature Store | Kubernetes | MLOps | Microsoft Azure | Model Monitoring | Model Quantization | ONNX | ONNX Runtime | Python | SQL | Snowflake | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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