Description

Responsibilities

 

  • Design and develop infrastructure for the full cycle of machine learning such as workflow management, feature store, data discovery tools, and feature libraries.
  • Implement backend microservices for large scale distributed systems using gRPC or REST.
  • Lead and drive vision for one or more of ML Platform services
  • Drive and maintain a culture of quality, innovation and experimentation
  • Work in an Agile environment that focuses on collaboration and teamwork

     

Basic Qualifications

 

  • Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics
  • Engineering, or comparable field of study, and/or equivalent work experience
  • 5+ years of software experience, with 3+ years of relevant ML experience
  • Experienced with cloud technologies in AWS or GCP and container systems such as Docker or Kubernetes
  • Expertise in OO programming, either Python or Java
  • Excellent communication and people engagement skills

     

Preferred Qualifications

 

  • Familiarity with Java or Python development ecosystem
  • Knowledge of technologies like Databricks, S3, Spark
  • Experience with graph-based data workflows such as Apache Airflow, Meson
  • Mentor colleagues on best practices and technical concepts of building large scale solutions

Key Skills
Education

Any Graduate

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