AI/ML Engineer (107-10SENG-01)

• 5+ years of experience as an AI/ML Engineer or in a similar role • AWS platform depth: Bedrock, SageMaker, Lambda, VPC, QuickSight, DynamoDB/S3 • GenAI-specific skills: RAG, agent orchestration, guardrails, and prompt design • Applied ML fundamentals: time-series, anomaly detection, model training and evaluation • Experience with MLOps and ML infrastructure •

Cloudary is a cloud consulting firm founded and led by senior cloud architects. We embed Principal-Vetted engineers directly into high-performing North American tech teams — acting as agile, hands-on experts driving critical data and AI initiatives. We are looking for an AI/ML Engineer to join our Data and AI practice. In this role, you will deliver AI/ML PoC and MVP projects, ranging from 1–2 weeks to 1–2 months. The work is almost entirely AWS-based and covers GenAI/LLM applications, classical ML, MLOps/ML infrastructure builds, and the AWS data and cloud modernization that often precedes or accompanies the AI work. Projects are staffed with an AI Engineer and a Solution Architect, with Cloud/Data Engineer support. Requirements What you'll be doing • Build GenAI/LLM applications: RAG, agentic workflows, chatbots, voice agents, and Bedrock integrations • Develop classical ML solutions: anomaly detection, forecasting, and recommendation engines • Deliver MLOps and ML infrastructure builds • Contribute to AWS data and cloud modernization: MAP assessments, QuickSight, and data migrations • Take PoCs and MVPs from scoping to delivery within short project timelines • Work alongside a Solution Architect and Cloud/Data Engineers on each project What we're looking for • 5+ years of experience as an AI/ML Engineer or in a similar role • AWS platform depth: Bedrock, SageMaker, Lambda, VPC, QuickSight, DynamoDB/S3 • GenAI-specific skills: RAG, agent orchestration, guardrails, and prompt design • Applied ML fundamentals: time-series, anomaly detection, model training and evaluation • Experience with MLOps and ML infrastructure • Experience delivering PoCs and MVPs • Excellent communication skills in English (B2+) • Ability to work independently in a fast-paced, distributed environment Highlights AWS Bedrock, Amazon SageMaker, AWS Lambda, Amazon VPC, Amazon QuickSight, DynamoDB, S3, LLMs / RAG, Agent orchestration Originally posted on Himalayas AI-ML-Engineer, Machine-Learning-Engineer, Generative-AI-Engineer, AWS-Engineer, MLOps-Engineer, Senior-AI-ML-Engineer, AI-ML-Software-Engineer