Lead ML/AI Engineer
New York, New York, United States
A USD 119K-180K (estimate) Senior-level Full Time
Tasks
- Architect scalable machine learning systems
- Build enterprise AutoML solutions
- Collaborate with software engineers for production integration
- Conduct experiments to evaluate model performance
- Deliver feature engineering capabilities
- Deploy ML AI pipelines
- Deploy and monitor models
- Deploy models with reliability and performance
- Design machine learning algorithms
- Develop strategies for model deployment at scale
- Enable data analysis and model evaluation
- Ensure data availability and quality
- Implement MLOps lifecycle management
- Integrate ML models into production systems
- Iterate models based on feedback
- Manage model versioning
- Perform statistical testing
- Support model optimization
- Translate requirements into scalable tested architecture
Perks/Benefits
Skills/Tech-stack
AKS | Apache Spark | Automl | Azure Event | Azure Event Hubs | Azure Functions | BigQuery | Containers | Data Streaming | Databricks | Dataproc | DevOps | Event Hubs | Feature Engineering | GKE | Infrastructure as Code | Kafka | Kubernetes | MLOps | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model versioning | NoSQL | PubSub | Python | Query Optimization | RDBMS | REST APIs | Real Time | Real-time Processing | SQL | Snowflake | Spark Streaming | Statistical Testing | Time processing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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