
AI Infrastructure Specialist
2 weeks ago
Job Title: AI Infrastructure Specialist
Job Description\The position of AI Infrastructure Specialist plays a crucial role in the development, deployment, and maintenance of Artificial Intelligence (AI) pipelines across cloud environments. This hands-on role emphasizes building efficient, scalable model delivery systems, integrating observability tools, and enabling reproducible workflows.
\Required Skills & Qualifications\
- Strong programming skills in Python with experience in pandas, SQL, and ML frameworks (e.g., scikit-learn).
- Experience with AWS services such as Lambda, Glue, CloudWatch, and Bedrock.
- Familiarity with container workflows (Docker) and model lifecycle management.
- Foundational knowledge of observability practices and model deployment fundamentals.
- Interest or experience in supporting AI systems used by developers or analysts.
Responsibilities\
- Deploy and maintain AI models using AWS services, including SageMaker, 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 cloud resource provisioning.
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