Backend/ML software engineer

Superwise is growing, and we are looking for great talents!

Superwise is pioneering the model observability providing the governance, monitoring, and visibility needed by enterprises as these adopt AI at scale. By their nature, AI models act as “black boxes,” causing significant trust and risk for the business. Our technology enables the ML, data science, and operational users to see-through these black boxes assuring the optimal business results are continuously kept and providing them with long-lasting confidence as they adopt AI into their core business. Led by a team of world-class domain experts and backed by leading VCs, Superwise is recognized as a top leader in this newly MLOps-formed space.

Description:

We are looking for a talented backend/ML software engineer to join our core team, which is responsible for processing, collecting, and streaming vast amounts of data into the system, producing metrics for fast querying, and writing custom integrations with popular MLOps tools. We are looking for an engineer who is also intrigued by machine learning & high-scale data concepts. We mainly write in python but never couple ourselves to a specific language. We do architecture and system design, infrastructure, and DevOps challenges.

Required:

  • Out-of-the-box thinking
  • Ability to tackle big challenges in a team and independently
  • Familiarity with data-oriented tools and paradigms ( {No,}SQL, Kafka, spark, flint, Redis, pubsub, etc )
  • Hands-on experience in Python & nodejs

Nice to have:

  • Python frameworks – Flask/django/fastapi/celery
  • Git\docker\k8s\CICD concept
  • Cloud environments ( big vendors )
  • FE experience
  • Experience with ML/DL concepts and frameworks

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