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Salary
≈ $59k – $151k per year (Estimated)
Location
Remote (Brazil)
Seniority
Senior · 5+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
Partner‑only engineering capacity for Cloud Consulting & Technology Partners. Senior‑vetted near‑shore talent, outcome‑driven Engineering teams, and white‑labeled MSP—AWS‑first, multi‑cloud capable.

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

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