Lead Assistant Manager
New Jersey, United States
USD 160K-190K (estimate) Senior-level Full Time
Tasks
- Build and maintain CI/CD pipelines for ML workflows
- Build data pipelines with Airflow Spark and SQL
- Collaborate to productionize ML models
- Containerize applications with Docker
- Debug test and improve ML pipelines
- Deploy and scale ML models on cloud platforms
- Design and maintain ML pipelines for ingestion preprocessing training and deployment
- Implement model registries and feature stores
- Manage infrastructure with Terraform or CloudFormation
- Orchestrate services with Kubernetes
- Set up ML monitoring with Prometheus and Grafana
- Track ML performance metrics data drift and model drift
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EKS | AWS Lambda | AWS SageMaker | Amazon Web Services | Apache Airflow | Apache Spark | CI/CD | Cloud Functions | Cloud platform | CloudFormation | Docker | Feast | GitHub Actions | Google Cloud | Google Cloud Functions | Google Cloud Platform | Google GKE | Google Vertex | Google Vertex AI | Grafana | Jenkins | Kubernetes | MLflow | Prometheus | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Terraform | Vertex AI | Web Services
Education
Roles
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