
AI/ML Engineer (107-10SENG-01)
- Remote
- -, Acre, Brazil
- Technology
AWS Bedrock, Amazon SageMaker, AWS Lambda, Amazon VPC, Amazon QuickSight, DynamoDB, S3, LLMs / RAG, Agent orchestration
Job description
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.
Job 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
- Brazil
or
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