GenAI/ML Engineer — AWS, PoC to MVP, MLOps Expert

OpsBrasil Serviços Cloud LTDA; Canada; Remote; CAD 110,000 - 160,000; Full time

Job summary

Cloudary is seeking an AI/ML Engineer to join our Data and AI practice. You will deliver AI/ML PoC and MVP projects for North American teams, focusing on GenAI/LLM applications and AWS-based workloads.

You will work with a Solution Architect and Cloud/Data Engineers, handling end-to-end delivery from scoping to deployment, across fast-paced, distributed environments in North America. Projects range from 1-2 weeks to 1-2 months, with Bedrock/SageMaker, ML infra, and guardrails shaping the work.

Qualifications

• 5+ years of experience as an AI/ML Engineer or in a similar role.
• Deep AWS platform experience: 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.

Responsibilities

• Build GenAI/LLM applications: RAG, agent orchestration, 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

Skills

AI/ML engineering

AWS Bedrock

SageMaker

MLOps

English communication

Tools

AWS Bedrock

SageMaker

Lambda

VPC

QuickSight

DynamoDB

S3

Job description

Cloudary is seeking an AI/ML Engineer to join our Data and AI practice. You will deliver AI/ML PoC and MVP projects for North American teams, focusing on GenAI/LLM applications and AWS-based workloads.

You will work with a Solution Architect and Cloud/Data Engineers, handling end-to-end delivery from scoping to deployment, across fast-paced, distributed environments in North America. Projects range from 1-2 weeks to 1-2 months, with Bedrock/SageMaker, ML infra, and guardrails shaping the work.