AI Engineer Computer Vision
AI Engineer Computer Vision
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Job Description
Job Description
AI Engineer (Computer Vision)
Location: Fully Remote Open to candidates worldwide
Salary:DOE Equity Benefits
Sector: AI / Computer Vision
Type: Fulltime Permanent
Japan based company
A fastscaling venturebacked SaaS company is building an innovative AI platform aimed at revolutionising a multitrilliondollar 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 highcalibre engineering team. This is a unique opportunity to work on cuttingedge models take ownership of endtoend development and contribute to the design of intelligent scalable systems powering realworld innovation.
Ideal Candidate Profile:
- 3 years of experience in software development and machine learning engineering in a fastpaced technical environment.
- Proven experience deploying AI models in production (not just research) across realworld use cases.
- Advanced proficiency in Python and deep learning frameworks such as PyTorch TensorFlow or Keras.
- Strong expertise in computer vision generative models and largescale ML pipelines.
- Familiarity with LLMs diffusion models finetuning and techniques like LoRA.
- Experience curating and utilising synthetic data for training and evaluation.
- Infrastructure knowledge including AWS Kubernetes and Terraform/OpenTofu.
- Strong problemsolving skills with the ability to work independently and collaboratively within crossfunctional teams.
Why Join:
- Be part of a highgrowth international team transforming a globally significant industry through AI.
- Work on cuttingedge CV and generative AI technologies in a highly autonomous and creative environment.
- Enjoy the agility of a startup with the support of toptier investors and a strong technical foundation.
- Competitive salary equity options and longterm career growth opportunities.
Key Responsibilities:
- Design build and optimise productionlevel AI models using CNNs Transformers and generative techniques (e.g. diffusion models GANs).
- Develop and deploy realtime and batch computer vision pipelines to support use cases such as object detection document analysis and synthetic data generation.
- Experiment with finetune and operationalise opensource models (e.g. LLaMA Mistral Stable Diffusion).
- Collaborate with crossfunctional 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 youre excited to contribute to a visionary platform at the intersection of AI infrastructure and global innovation wed 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
Employment Type
Full-Time
