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ML Solutions Developer
3 weeks ago
Machine Learning Professional
You will be responsible for designing and developing innovative machine learning solutions using AWS SageMaker. Your expertise in ML models, data ingestion, model training, validation, deployment, and MLOps best practices will ensure the success of our clients.
Key Responsibilities:
- Designing end-to-end machine learning pipelines on AWS SageMaker
- Collaborating with data scientists to translate models and algorithms into production-ready code
- Managing the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment
- Implementing MLOps best practices to automate workflows and ensure model performance and reliability
- Optimizing ML models for performance, scalability, and cost efficiency on the AWS platform
- Monitoring and troubleshooting deployed models to ensure they meet performance and business requirements
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 3+ years of experience in a machine learning or data science role