AI/ML Engineer

Job not on LinkedIn

🔥 8 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Siteup

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

💼 Consulting

📣 Marketing

🤝 B2B

Consulting • Marketing • B2B

Siteup is a company that focuses on elevating online presence through innovative web and app development solutions, as well as strategic digital marketing services. They specialize in creating custom websites and mobile apps that aim to engage users and drive business growth.

📋 Description

• 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

🎯 Requirements

• 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