Fractional CTO / Head of AI ML

JOB DESCRIPTION: AI AND ML ENGINEER, GOOGLE CLOUD AND GEMINI SPECIALIST

Company: Sixth Dimension Labs Location: Remote or Hybrid Type: Part time The Mission Sixth Dimension Labs is building the Precision Fit Infrastructure for the 1.2 trillion dollar luxury e-commerce market. Our platform, FTON, uses patented fabric physics and computer vision to deliver decimal-level fit precision. We are transforming how the world’s most prestigious marketplaces operate, turning fit uncertainty into a high-margin revenue engine and converting prevented returns into auditable carbon abatement data.

About the Role As we prepare our FTON platform for enterprise scale, we are seeking a sharp, delivery-focused Junior AI and ML Engineer. This role is highly specialised, requiring a deep understanding of the Google Cloud Platform ecosystem and hands-on experience with Google Gemini.

You will work directly alongside our Lead AI Systems Engineer and our core development team to deploy our computer vision models, build scalable cloud infrastructure, and leverage advanced Large Language Models to power our hyper-personalised fashion recommendation engines.

What You Will Do

Gemini and LLM Integration Design, prompt, and integrate Google Gemini models to process unstructured fashion data, interpret brand tech packs, and power our conversational AI styling and fit recommendation features.

Cloud Infrastructure and Deployment Deploy and manage machine learning models using Google Cloud Platform services, specifically leveraging Vertex AI, Cloud

Run, and Cloud Functions to ensure our sub-1.5 second rendering pipeline remains highly available and scalable.

Data Pipeline Engineering Assist in building and maintaining robust data ingestion and preprocessing pipelines using BigQuery and Cloud Storage, securely handling the biometric and visual data required for our precision digital twins.

Model Optimisation Collaborate with the computer vision and physics engineering teams to optimise PyTorch and TensorFlow models for edge and cloud inference,

ensuring minimal latency during the consumer try-on experience.

Continuous Integration Maintain clean, well-documented code using Git and

Docker, participating in agile sprints to push continuous updates to the FTON enterprise API.

What You Have

1 to 3 years of hands-on experience in Artificial Intelligence, Machine

Learning, or Cloud Data Engineering. Demonstrable expertise in the Google Cloud

Platform, specifically Vertex AI, and a strong understanding of deploying machine learning models in a cloud environment. Applied experience with Google

Gemini or similar advanced Large Language Models, including prompt engineering and API integration. Strong programming proficiency in Python, with a solid grasp of libraries such as Pandas, NumPy, and Scikit-learn. A working understanding of deep learning frameworks such as PyTorch or TensorFlow. A builder's mindset. You are highly proactive, eager to learn, and excited by the challenge of solving complex technical problems in a fast-paced startup environment.

What You Get A front-row seat to building a category-defining enterprise technology from the ground up. Direct mentorship from elite technical leaders and the opportunity to rapidly accelerate your career in AI and cloud architecture. A dynamic,

high-growth environment where your code directly impacts sustainability and the future of global luxury retail. Competitive early-stage compensation with significant opportunities for career progression as we scale following our Seed funding round.