Role overview
Must Have Technical/Functional Skills
- Work Experience in SageMaker Knowledge in setting up CI/CD aws code pipeline for Machine Learning Models (Preferably in Cloud)
- Dockers, Container Orchestration, ML Model Deployment and Monitoring and Maintenance
- Design, build and scale reliable data pipelines using AWS (Python, PySpark and Snowflake)
- Bash/Shell Scripting and SQL and ML Libraries Pandas, NumPy, PyTorch, Scikit-learn
- Data and Model quality monitoring
- S3, IAM, Lambda, step functions, Code build, ECR, ECS/Fargate
Roles & Responsibilities
ML Pipeline Development & Automation
Model Deployment & Serving
Development and maintenance
Monitoring & Performance Management
Security & Compliance
Continuous improvements
Salary Range- $100,000-$115,000 a year
What we're looking for
- Work Experience in SageMaker Knowledge in setting up CI/CD aws code pipeline for Machine Learning Models (Preferably in Cloud)
- Dockers, Container Orchestration, ML Model Deployment and Monitoring and Maintenance
- Design, build and scale reliable data pipelines using AWS (Python, PySpark and Snowflake)
- Bash/Shell Scripting and SQL and ML Libraries Pandas, NumPy, PyTorch, Scikit-learn
- Data and Model quality monitoring
- S3, IAM, Lambda, step functions, Code build, ECR, ECS/Fargate
Roles & Responsibilities
ML Pipeline Development & Automation
Model Deployment & Serving
Development and maintenance
Monitoring & Performance Management
Security & Compliance
Continuous improvements
Salary Range- $100,000-$115,000 a year
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Machine Learning Mlops Pytorch Ai