Data Scientist

A startup company that has developed a platform to extract data from text and images for eCommerce using artificial intelligence technology. This is an eCommerce SaaS platform focused on cataloging that impacts the visibility and accuracy of products, primarily targeted at the Japanese market, while also crossing borders for international sellers.

The platform allows local merchants to break language barriers and sell anything, anywhere across marketplaces.

The company is located in central Israel near a train station and operates a hybrid model with three days of remote work. They have 15 employees.

The role-

• Work as part of a team.
• Engage in NLP and Machine Learning tasks.
• Involvement from research to production.
• Tasks include text classification, data cleaning, data enrichment, model development using traditional and advanced methods such as Logistic Regression, Random Forest, Transformers, and Large Language Models (LLMs), as well as performance acceleration, pipelines, and model training.
• The tech stack includes Python, AWS, GCP, MongoDB, and MySQL.

Requirements-

• 2 years of experience with ML models from earlier (LR, random forest) to latest ML models
• Experience in all aspects of model delivery, from data cleaning to release and maintenance
• Experience in robust pipeline delivery for generic / semi-automatic model training and iteration
• Good code writing skills with a focus on performance and efficiency
• Experience with DevOps tools, DB (MongoDB, MySQL) and cloud (e.g. AWS, Google Cloud)
• Self-learner, team player with great communication skills and hands-on approach

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