Machine Learning Engineer

A successful tech company that has developed a Super-App, its core product being a messaging application covering text and various forms of communication (video, audio, group chats, etc.). It includes features such as a digital wallet and solutions for businesses of all sizes, from large corporations to small enterprises, including business messaging, product catalogs, customer communication, and more.

They employ 200 employees in Israel and a total of 500 globally, utilizing a hybrid work model with two days remote.

The company is stable and dynamic, maintaining the agility typical of startups, with strong financial backing from a global company.

With millions of users, the company's main development center is in Israel, offering an opportunity to join a stable, growth-oriented company.

The role

• Engineering ML models: Designing and developing machine learning models.
• Deploying models to production: Implementing models into operational systems for real-world use.
• Working with ML libraries: Utilizing tools like SageMaker, PyTorch, and TensorFlow for machine learning tasks.
• Using Python and SQL: Programming in Python for data manipulation and SQL for database interactions.
• Cloud and Big Data environment (AWS, Spark): Operating within cloud computing platforms like AWS and utilizing frameworks like Apache Spark for big data processing.
• Focusing on data processing: Managing and analyzing large datasets to extract meaningful insights.
• Collaborating with data science teams: Working closely with other professionals in data science to achieve project goals effectively.

Requirements-

• Minimum of 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

147223