We are looking for a Senior Machine Learning Engineer.
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.
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.
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.
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.
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
Advantages:
Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines
Familiarity with Kubernetes (K8s) for container orchestration
Experience working in an Agile development environment
Bachelors degree or higher in Computer Science or a related field
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
Advantages:
Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines
Familiarity with Kubernetes (K8s) for container orchestration
Experience working in an Agile development environment
Bachelors degree or higher in Computer Science or a related field
This position is open to all candidates.
