Machine Learning Engineer

A successful high-tech company has developed a Super-App, featuring a core messaging product for text and calls (video, audio, group chats, etc.). The app also includes features such as a digital wallet and solutions for businesses of all sizes, from large corporations to small enterprises, including business messages, product catalogs, customer communication, and more.

The company is located in central Israel near a train station and employs 200 people in Israel and 500 globally. They support a hybrid work model with two days working from home. This stable and dynamic company has millions of users, with the main development center in Israel.

With over a decade of experience, the company offers an opportunity to join a financially strong and well-established organization that maintains the pace and innovation of an Israeli startup. The company has achieved an exit close to one billion dollars.

Role Description:

• Joining a team to work on ML engineering tasks, deploying models to production
• Working with ML libraries such as SageMaker, PyTorch, and TensorFlow
• Developing in Python and SQL
• Working in a Cloud and Big Data environment (AWS, Spark)
• Involves data processing and close collaboration with Data Science teams

Requirements-

• 3 years of experience in developing and deploying production-level machine learning based services
• Proficiency in machine learning frameworks such as SageMaker, PyTorch, or TensorFlow
• Strong experience with Spark SQL for data processing and analysis
• Advanced programming skills in Python
• Experience with cloud computing platforms, particularly AWS

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