Artificial Intelligence Specialist
4 days ago
Role Overview:
This critical role focuses on developing and automating Machine Learning pipelines across cloud environments. It emphasizes building reproducible workflows, integrating observability tools, and ensuring efficient model delivery.
Key Responsibilities:
- Deploy and maintain models using AWS services, including Sage Maker, Fargate, and Bedrock.
- Apply prompt engineering techniques to optimize model performance and reliability.
- Assist in building and maintaining internal model-serving platforms to support development teams.
- Implement containerized services using Docker and deploy them to cloud infrastructure.
- Write Infrastructure-as-Code (IaC) using Terraform to automate resource provisioning.
Requirements:
- 3-5 years of experience with strong programming skills in Python, pandas, SQL, and ML frameworks (e.g., scikit-learn).
- Familiarity with AWS services such as Lambda, Glue, Cloud Watch, and Bedrock.
- Experience with container workflows (Docker) and model lifecycle management.
- Foundational knowledge of observability practices and model deployment fundamentals.
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