Offer summary

Qualifications:

3+ years of experience in software development and machine learning engineering., Proven experience deploying AI models in production across real-world use cases., Advanced proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or Keras., Strong expertise in computer vision, generative models, and large-scale ML pipelines..

Key responsibilities:

Design, build, and optimise production-level AI models using CNNs, Transformers, and generative techniques.

Develop and deploy real-time and batch computer vision pipelines for various use cases.

Collaborate with cross-functional teams to integrate AI solutions into core platform features.

Drive innovation by staying updated on trends in machine learning, LLMs, and generative AI.

Job description

Job Description

AI Engineer (Computer Vision)

Location: Fully Remote - Open to candidates worldwide
Salary: £125,000–£160,000 DOE + Equity + Benefits
Sector: AI / Computer Vision
Type: Full-time, Permanent

Japan based company

A fast-scaling, venture-backed SaaS company is building an innovative AI platform aimed at revolutionising a multi-trillion-dollar global industry. With backing from leading venture capital firms in Japan and the US, the business has recently exited stealth mode and is entering a significant phase of product expansion and commercial growth.

We are now seeking an experienced AI Engineer specialising in Computer Vision to join a high-calibre engineering team. This is a unique opportunity to work on cutting-edge models, take ownership of end-to-end development, and contribute to the design of intelligent, scalable systems powering real-world innovation.

Ideal Candidate Profile:

3+ years of experience in software development and machine learning engineering in a fast-paced, technical environment.
Proven experience deploying AI models in production (not just research) across real-world use cases.
Advanced proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Strong expertise in computer vision, generative models, and large-scale ML pipelines.
Familiarity with LLMs, diffusion models, fine-tuning, and techniques like LoRA.
Experience curating and utilising synthetic data for training and evaluation.
Infrastructure knowledge including AWS, Kubernetes, and Terraform/OpenTofu.
Strong problem-solving skills, with the ability to work independently and collaboratively within cross-functional teams.

Why Join:

Be part of a high-growth, international team transforming a globally significant industry through AI.
Work on cutting-edge CV and generative AI technologies in a highly autonomous and creative environment.
Enjoy the agility of a startup with the support of top-tier investors and a strong technical foundation.
Competitive salary, equity options, and long-term career growth opportunities.

Key Responsibilities:

Design, build, and optimise production-level AI models using CNNs, Transformers, and generative techniques (e.g., diffusion models, GANs).
Develop and deploy real-time and batch computer vision pipelines to support use cases such as object detection, document analysis, and synthetic data generation.
Experiment with, fine-tune, and operationalise open-source models (e.g., LLaMA, Mistral, Stable Diffusion).
Collaborate with cross-functional product and engineering teams to integrate AI solutions into core platform features.
Drive innovation by staying abreast of the latest trends in machine learning, LLMs, and generative AI.
Ensure responsible AI practices, including transparency, fairness, and scalability in production environments.
Optimise models for performance, cost, and deployment efficiency on modern compute infrastructure (GPU/CPU).

If you're excited to contribute to a visionary platform at the intersection of AI, infrastructure, and global innovation, we’d love to hear from you.

To apply, please submit your CV and a brief note outlining your interest and relevant experience.

Reference: WILL126504/MB

INDIT

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