Description

You will design, develop, and productionize machine learning models within a production environment.

Responsibilities

• Develop and productionize machine learning models.
• Implement engineering best practices for managing model complexities in production.
• Build and maintain end-to-end machine learning infrastructure.
• Manage distributed data processing workflows.

Required Skills

• 5+ years of industry experience in applied machine learning, or a PhD with 2 years of industry experience.
• Strong coding proficiency in Python, Java, or Scala.
• Experience with distributed data processing tools including Hive and Spark.
• Solid understanding of engineering best practices for production models.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with ML frameworks such as TensorFlow or PyTorch.
• Proficiency with Airflow, Docker, and Kubernetes.
• Experience building end-to-end machine learning infrastructure.

Key Skills

Education

Bachelor's degree