Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As a 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 and
empowering every team at Viber to easily leverage large language models (LLMs) in their daily workflows.
Responsibilities:
- Enhance and extend our machine learning framework to incorporate features like LLM observability, Feature Store, and SageMaker serving.
- Provide technical guidance and support to enable data scientists to effectively utilize the framework.
- Collaborate with cross-functional teams to develop advanced machine learning based recommendation systems.
Requirements:
- Minimum of 2 years of experience in developing and deploying production-level machine learning based services.
- Proficiency in ML & LLM frameworks such as MLFlow, LangChain, and AWS Bedrock.
- Advanced programming skills in Python.
- Experience with cloud computing platforms, particularly AWS.
Advantages:
- Experience in deploying deep learning models using GPUs on AWS cloud.
- 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.