דרושים AI/Machine Learning Engineer בתל אביב

About us

Home365 is an innovative Property Management company that utilizes Technology, AI, and Data to transform the experience of owning and renting out real estate to an easy, simple and great experience.

We aim to eliminate the risks and uncertainties of rental property ownership while ensuring consistent profits.

We invite you to apply and join our innovative , experienced team and be a part of our success strory.

Role Description

This is a full-time on-site role for an AI/Machine Learning Engineer located in Ramat Gan. The AI/Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and algorithms.

Daily tasks includes data analysis, business process analysis, working with LLMs, and applying statistical methods to solve complex problems. The role requires close collaboration with cross-functional teams to integrate AI solutions into various product features and improve overall system performance.

We Are Looking For:

Strong independent professionals who are looking for the opportunity to have major impact on a product.

As a AI / ML engineer you will take a significant part in developing the company’s AI capabilities, working with innovative and cutting edge technologies based on Big Data and Machine Learning

What will you be doing?

• Build and maintain our AI / ML platform
• Write algorithms to deploy and improve our AI and ML platform and products
• Be in charge of analyzing complex datasets
• Data visualization both for internal and external purposes
• Build data analysis infrastructure

Skills and Knowledge:

• 3+ years of working experience as an AI / ML engineer - MUST
• 3+ years proven experience in Python - MUST
• excellent knowledge, and proved experience in SQL and DWH platforms - MUST
• Detail oriented with strong organizational skills
• Experience with cloud providers such as AWS
• Ability to work independently on large projects and get things done
• B.Sc Computer Science, Mathematics, Statistics, or equivalent – MUST