Senior ML Engineer, Multimodal Product Intelligence

Mollkom; Riyadh; Hybrid; SAR 260,000 - 360,000; Full time

Job summary

Mollkom in Riyadh, Saudi Arabia, seeks a machine learning professional to design VLM and OCR pipelines for rich product catalogs. You will build evaluation sets across languages and categories, distinguishing visible facts from uncertain inferences while optimizing quality, cost and latency.

The role is hybrid in Riyadh, offering opportunities to turn research into observable production services and collaborate across data, engineering and product teams.

Qualifications

• Experience in computer vision or multimodal ML.
• Proficient in Python and PyTorch.
• Knowledge of data labeling, evaluation and error analysis.
• Ability to deploy models as production services.

Responsibilities

• Design VLM and OCR pipelines for product attributes and structured catalog data.
• Build evaluation sets spanning image quality, languages and product categories.
• Distinguish visible facts, retrieved information and uncertain inference.
• Experiment with model selection, preprocessing and adaptation, measuring quality, cost and latency.

Skills

Computer vision

Python

PyTorch

Data labeling & evaluation

Production services

Job description

A product image is a rich starting point, but it cannot reveal everything. Build paths that combine vision, text and available data into useful product information with clear confidence and review boundaries.

Responsibilities

• Design VLM and OCR pipelines for product attributes and structured catalog data.
• Build evaluation sets spanning image quality, languages and product categories.
• Distinguish visible facts, retrieved information and uncertain inference.
• Experiment with model selection, preprocessing and adaptation, measuring quality, cost and latency.

Qualifications

• Applied experience in computer vision or multimodal machine learning.
• Strong Python and a machine learning framework such as PyTorch.
• Understanding of data design, labeling, evaluation and model error analysis.
• Ability to turn a model or experiment into an observable production service.

Hybrid in Riyadh, Saudi Arabia.