AWS Cloud Engineer(Remote)

Job Description: Must Have Skills: • AWS services- Bedrock, SageMaker, ECS and Lambda • Demonstrated contributions to open-source AI/ML/Cloud projects • Demonstrated proficiency in Python and Golang coding languages • Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain • LLM • PhD. in AI/ML/Data Science REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES: • 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. • PhD. 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. NICE-TO-HAVES: • 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). Apply tot his job