AI/ML Engineer (107-10SENG-01)
# AI/ML Engineer (107-10SENG-01) **OpsBrasil Serviços Cloud LTDA** · Canada; United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-ML-Engineer]` `[Machine-Learning-Engineer]` `[Generative-AI-Engineer]` `[AWS-Engineer]` `[MLOps-Engineer]` `[Senior-AI-ML-Engineer]` `[AI-ML-Software-Engineer]` --- ### About the Role 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
Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Himalayas (JSON API).