AWS Cloud Engineer AI/ML Applications, SageMaker

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Python and GoLang
AI/ML/Cloud

Job Details

  • 10+ years of proven software engineering experience with a strong focus on Python and GoLang and/or Node.js.
  • Demonstrated contributions to open-source AI/ML/Cloud projects, with either merged pull requests or public repos showing real usage (forks, stars, or clones).
  • Direct, hands-on development of RAG, semantic search, or LLM-augmented applications, using frameworks and ML tooling like Transformers, PyTorch, TensorFlow, and LangChain not just experimentation in a notebook.
  • Ph.D. in AI/ML/Data Science and/or named inventor on pending or granted patents in machine learning or artificial intelligence.
  • Deep expertise with AWS services, especially Bedrock, SageMaker, ECS, and Lambda.
  • Proven experience fine-tuning large language models, building datasets, and deploying ML models to production.
  • Demonstrated success delivering production-ready software with release pipeline integration.
  • Policy as Code development (i.e., Terraform Sentinel) to manage and automate cloud policies, ensuring compliance
  • Experience optimizing cost-performance in AI systems (FinOps mindset).
  • Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment).
  • Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).
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