Senior Machine Learning Engineer

At Viber, we connect people–no matter who they are or where they are from. We dedicate ourselves to providing added value to communication — from private and group chats to audio and video calls to the ability to follow and contact brands, businesses, and celebrities. Viber is a super-app and an all-in-one platform for everything communications-based, with many different business and financial services, including payment solutions for users to make transfers, purchases, and much more!

As a Senior Machine Learning Engineer, your role will be instrumental in democratizing machine learning models across Viber, harnessing our extensive data to drive informed decision-making. You will collaborate closely with data scientists and engineering teams, providing them with user-friendly frameworks for machine learning model execution.

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

Responsibilities:

Develop a machine learning framework incorporating features like a feature store, Spark, and SageMaker
Provide technical guidance and support to enable data scientists to utilize the framework effectively
Collaborate with cross-functional teams to develop advanced machine learning based recommendation systems
Leverage the extensive data received from our application to enhance model performance and accuracy

Advantages:

Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines
Familiarity with Kubernetes (K8s) for container orchestration
Experience working in an Agile development environment
Bachelor's degree or higher in Computer Science or a related field