Machine Learning Engineer

A successful high-tech company that has developed a Super-App. The company’s core product is a messaging application, including features like text, video, audio, and group calls, with additional capabilities such as a digital wallet and business solutions for companies of all sizes—from large corporations to small businesses. These solutions include business messaging, product catalogs, customer communication, and more.

The company has 200 employees in Israel and 500 globally.

Established over a decade ago, they made an exit worth nearly a billion dollars. With millions of users, the main development center is in Israel, offering the opportunity to join a well-established, stable company backed by a global corporation, while maintaining the pace and innovation of an Israeli startup.

Located in the central region, near a train station, the company offers a hybrid model with two work-from-home days.

Responsibilities:

• Work as part of a team on ML engineering tasks, deploying models to production.
• Utilize ML libraries such as SageMaker, PyTorch, and TensorFlow.
• Coding in Python and SQL, working in a Cloud and Big Data environment (AWS, Spark).
• Engage in data processing and collaborate closely 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