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

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