ML Systems Architect

Are you ready to build the future of AI?

Are you ready to build the future of AI? We're looking for a passionate AI / ML Solution Architect with a strong AWS background to join our client, an AWS Premier Tier Services Partner with a reputation for excellence. For over a decade, they've been known not just for their cutting-edge work but also for genuinely caring for their people.

This isn't typical contract role. You'll be a core part of the team.This role is a long-term, stable partnership with no project gaps. You'll enjoy a competitive rate of 45 - 70+ per hour for a fully remote, B2B contract with consistent 8-hour workdays.

In this pivotal role, you will engage directly with clients to understand their needs, design innovative solutions, and lead the technical implementation. This is a senior technologist position where you will not only architect and design but also lead a small team of 2-3 engineers across several initiatives, and occasionally, you will single-handedly also personally build smaller MVP or POC.Expertise in AWS infrastructure, MLOps, and strong Python skills are essential.

Your work will span Computer Vision (CV), Natural Language Processing (NLP), Large Language Models (LLMs), Recommendation Systems, and conversational AI. While broad exposure is beneficial, deep expertise in at least one of these domains is required.

This diverse project landscape of green-field projects, giving you the unique opportunity to apply novel AI tools and creative solutions to a wide range of business challenges.

Leadership & Strategy :

• Take end-to-end ownership of AI / ML solutions, from concept to deployment, acting as the key technical decision-maker.
• Lead, mentor, and provide technical guidance to a team of 2-3 AI and cloud engineers, fostering an environment of rapid, high-quality prototyping.
• Serve as a trusted technical advisor to clients and internal stakeholders, translating complex business challenges into viable technology solutions.

Solution Architecture & Development :

Infrastructure & MLOps :