AI Engineer

A highly successful and profitable startup in the E-commerce sector, established about two years ago, is rapidly growing with 60 employees in Israel and 130 worldwide. They have raised significant funds, are already profitable, and are very stable.

The company centralizes and simplifies all the metrics used by online sellers, enabling them to save more time and make more money. They help e-commerce businesses accurately track and forecast various metrics, including changes in profits and operational metrics.

The goal is to infuse AI into e-commerce, empowering shops to have an accurate picture of their business and make optimal choices that boost their bottom line.

Launched in mid-2021, the company already has over 6,000 clients, top-tier investors.

What You'll Be Doing

• Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.
• Collaborate with fellow team members on exciting and challenging projects.
• Use state of the art tools to achieve high and robust performance.
• Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.
• Deploy and maintain your researched ML Models at scale within the cloud environment
• Implement the MLOps philosophy in everything you do.
• Collaborate with Product Managers, Dev and Data Engineers to provide great impact at scale while expediting model life cycle.
• Constantly search for data driven value propositions for the clients.
• Constantly improve the model’s quality, and performance.
• Desire to continually keep up with advancements in data science practices.

Qualifications

• 2+ years' experience as a data scientist, applied researcher or similar in the industry
• M.Sc./Ph.D. in exact sciences
• Engineering Background - either an Engineering degree or engineering experience.
• Experience in Machine Learning techniques, Time Series, NLP, Optimization, DNN, Recommendation Systems, Bayesian Optimization, and Data Science best practices.
• Deep theoretical knowledge in ML algorithms related to the relevant disciplines,
• Ability to write clean and concise code in Python and SQL with the ability of writing production level code and the experience of deploying it.
• Experience using CI/CD tools
• Experience using Cloud (preferably GCP) and Distributed frameworks,