Machine Learning Engineer
Core
Building end-to-end AI for a visual e-commerce marketplace, including search, recommendations, image moderation, and IP/copyright detection for metal art posters.
Role type
Senior Machine Learning Engineer (Computer Vision & Multimodal LLMs)
Builds
Production ML models for search ranking, visual similarity, content moderation, and dynamic user preference engines.
Domain
E-commerce / Visual Content / IP Management
Deliverable
production ML models
Required skills
Python, PyTorch, HuggingFace, GCP Vertex AI, AWS, Kubernetes, FastAPI, LLMs (Gemini/GPT/Claude), embeddings, CNNs, transformers, BigQuery, SQL, Git, CI/CD
Preferred skills
Elasticsearch, Generative AI (Stable Diffusion/Flux), Tabular ML (LightGBM/XGBoost), Bayesian modelling, Java
Technologies
Vertex AI, Gemini, AWS Personalize, CLIP, DINO, SigLIP, FastAPI, Kubernetes, PyTorch, PyTorch Lightning, Albumentations, Elasticsearch, HuggingFace, NetworkX, LightGBM, SHAP, Optuna, Prophet, PyMC, scikit-learn, BigQuery, dbt, Apache Airflow, GA4, GitLab ML, GitLab CI/CD, Docker, PostgreSQL, Cloud Run, AppEngine, AWS S3, n8n
Responsibilities
Develop multimodal LLM pipelines for image-to-metadata extraction; Build and optimize search ranking and retrieval systems; Implement automated IP and copyright detection pipelines; Create visual similarity and recommendation engines; Deploy and monitor ML models on cloud infrastructure.
Seniority
Senior, hands-on IC
