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

Cloudary

Acre

À distance

BRL 450 000 - 700 000

Plein temps

Il y a 4 jours
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Résumé du poste

Cloudary is seeking an AI/ML Engineer to deliver GenAI/LLM PoCs and MVPs across AWS-focused projects. You will work on Bedrock, SageMaker, and other AWS services to build scalable AI solutions.

You will join a team that includes a Solution Architect and Cloud/Data Engineers, delivering fast-paced projects for North American clients while collaborating in a distributed environment. Strong English communication is essential.

Qualifications

  • 5+ years in AI/ML engineering or similar role.
  • AWS platform depth with Bedrock, SageMaker, Lambda.
  • GenAI-specific skills: RAG, agent orchestration, guardrails, and prompt design.
  • Applied ML fundamentals: time-series, anomaly detection, model training/evaluation.
  • Experience with MLOps and ML infrastructure.
  • Experience delivering PoCs and MVPs.
  • Excellent English (B2+) communication.
  • Ability to work independently in a fast-paced, distributed environment.

Responsabilités

  • Build GenAI/LLM applications: RAG, agent workflows, chatbots, voice agents, Bedrock integrations.
  • Develop classical ML solutions: anomaly detection, forecasting, recommendation engines.
  • Deliver MLOps and ML infrastructure builds.
  • Contribute to AWS data and cloud modernization: MAP assessments, QuickSight, 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.

Connaissances

AWS SageMaker
GenAI/LLM
MLOps
English communication

Description du poste

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.

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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