Machine Learning Software Engineer

We're seeking a Software Engineer to help our data science team scale. Here are some examples of the challenges you'll be facing:

  • Build frameworks for BigPanda's ML efforts and be a key contributor in the discussion around which ML technologies will be used in a production environment
  • Design and implement the best production architecture for integrating models into our production pipelines
  • Automate repeatable routines for most machine learning tasks
  • Bring the best software development practices to the data science team and help them boost their work
  • Ensure that data science code is maintainable and scalable

What would make you a good fit?

  • You’re passionate about data, data science and ML
  • You're excited about building high performance distributed systems that scale
  • You're excited to build a product that solves real customer problems


  • Highly proficient in Python language with at least 4 years of production experience
  • At least 3 years backend experience writing code for distributed systems that were used in production.
  • Experience working with any of these technologies: Kafka, ElasticSearch, MongoDB.

Nice to have:

  • Hands-on experience with stream processing for near real-time systems (BigData, Kafka, Distributed systems)
  • Production level experience in Scala and/or Node.JS
  • Hands-on experience with Akka framework.
  • Experienced working with cloud platforms, preferably AWS
  • Experience with Seldon, Kubeflow and AWS Sagemaker

To apply for this job please visit

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