Description

You will build and productionize machine learning models within a distributed environment.

Responsibilities

• Develop and productionize machine learning models.
• Build end-to-end machine learning infrastructure.
• Apply engineering best practices to manage model complexities in production.
• Work with distributed data processing workflows.

Required Skills

• 5+ years of industry experience in applied machine learning, or a PhD plus 2 years of industry experience.
• Strong coding skills in Python, Java, or Scala.
• Experience with distributed data processing tools such as Hive, Spark, or Airflow.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Solid understanding of engineering best practices for production models.

Preferred Skills

• Experience with Docker, Kubernetes, and Spark.
• Experience building end-to-end Machine Learning Infrastructure.

Key Skills

Education

Any Graduate