
Artificial Intelligence Specialist
7 days ago
Drive innovation by designing, building and deploying robust machine learning models that deliver real business value.
Key Responsibilities- Design end-to-end machine learning pipelines on AWS SageMaker to meet business needs.
- Collaborate with data scientists to translate models and algorithms into production-ready code.
- Manage the entire machine learning lifecycle including data ingestion, model training, validation, and deployment.
- Implement MLOps best practices to automate workflows and ensure model performance and reliability.
- Optimize ML models for performance, scalability and cost efficiency on the AWS platform.
- Monitor and troubleshoot deployed models to ensure they meet performance and business 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.
- Hands-on experience with AWS services specifically SageMaker.
- Proficiency in Python and standard ML libraries.
- Experience with containerization technologies like Docker.
- Solid understanding of MLOps principles and tools for CI/CD.
- Knowledge of data engineering principles and experience with big data technologies.
- Experience with other AWS services.
- Certifications such as AWS Certified Machine Learning - Specialty.
- Experience with model serving frameworks.
- Experience with version control systems like Git.
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