AI / ML Engineer

Plahton; United Arab Emirates; Remote; AED 240,000 - 420,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Learning budget

Job summary

Plahton is seeking an enthusiastic ML engineer to advance visual-search and material-recognition models. You will own the model training, evaluation and deployment for a production pipeline in a fully remote setup across EU/MENA, with flexible hours.

You will work with Python and PyTorch, focusing on embeddings, retrieval, and generative components as needed, collaborating with product to design AI-native flows, and building monitoring and quality gates to ensure real-world reliability.

Qualifications

• 3+ years of applied ML experience in computer vision, embeddings or retrieval in production.
• Strong Python and PyTorch skills; able to own a model end-to-end.
• Pragmatic about evals, data quality and shipping over benchmark-chasing.

Responsibilities

• Own model training, evaluation and deployment for visual search and recognition.
• Improve retrieval quality with embeddings, re-ranking and feedback loops.
• Partner with product to design AI-native flows, not bolt-on features.
• Productionize models with monitoring, evals and clear quality gates.

Skills

Computer vision

Embeddings

Retrieval

Tools

Python

PyTorch

Job description

Remote (EU/MENA) Full-time Engineering 3+ years

Push our visual-search and material-recognition models forward. Computer vision, embeddings, retrieval and generative work — applied to a domain with messy, beautiful, real-world data.

What you'll do

• Own model training, evaluation and deployment for visual search and recognition.
• Improve retrieval quality with embeddings, re‑ranking and feedback loops.
• Partner with product to design AI‑native flows, not bolt‑on features.
• Productionize models with monitoring, evals and clear quality gates.

What we're looking for

• 3+ years applied ML — computer vision, embeddings or retrieval in production.
• Strong Python + PyTorch; comfortable owning a model end‑to‑end.
• Pragmatic about evals, data quality and shipping over benchmark‑chasing.

Nice to have

• Experience with multimodal models or generative pipelines.
• Background in materials, manufacturing or visual design domains.

What we offer

• Direct ownership of the model stack, not a research‑only role.
• Real users and real feedback every week.
• Fully remote, flexible hours, learning budget.

Hiring process

1. 1 Application review We read every submission within ten business days.
2. 2 Intro call A 30‑minute conversation with the hiring lead.
3. 3 Craft round A paid take‑home or live working session tied to the actual role.
4. 4 Team conversations Meet the people you'd work with day‑to‑day.
5. 5 Offer We move quickly — typically within two weeks of intro.