Advance your ML career as an AWS SageMaker ML Ops Specialist, focusing on model operationalization and data engineering. This role is pivotal for deploying scalable ML solutions and monitoring performance.

We are looking for an ML Ops Specialist with expertise in Amazon SageMaker to build and train models using frameworks like TensorFlow and PyTorch. You will create automated data pipelines and implement MLOps processes, ensuring models are optimized and performance is continuously monitored through SageMaker tools.

Key Responsibilities: • Build and refine ML models in SageMaker Studio • Design robust data pipelines for high-quality data handling • Implement CI/CD for machine learning workflows • Deploy models for inference, ensuring low latency • Monitor and address model performance and bias

Requirements: • Strong proficiency in AWS SageMaker and its services • Command of Python and SQL programming languages • Experience with ML frameworks like PyTorch and ...