Machine Learning Architect

4 days ago


Copenhagen, Copenhagen, Denmark Kindly Sweden Full time

We are Kindly Sweden, a company that is passionate about creating the world's most loved chatbots. As a Backend & Machine Learning Engineer, you will be part of a team that is dedicated to developing and improving our platform.

About Our Technology

We use a range of technologies, including Python, Django, Nodejs, Elixir, Postgresql, MongoDB, and Elasticsearch. Our platform is built using a microservices architecture, which allows us to scale quickly and efficiently.

Our team is passionate about innovation and experimentation. We encourage our engineers to try new things and explore new technologies. If you are looking for a challenging and rewarding career, then we would love to hear from you.

Job Responsibilities

As a Backend & Machine Learning Engineer, your primary responsibility will be to develop and improve our platform. This will involve researching new technologies, identifying areas for improvement, and implementing changes that drive business value.

You will also be responsible for coordinating with other teams to deliver features of high complexity and releasing them to thousands of users. Your input on the areas you wish to focus on matters, and you will have the freedom to work across the whole stack.

Requirements
  • 3+ years experience with backend development.
  • Experience with Python and Django; Nodejs or Elixir is a plus.
  • Experience with Postgresql, MongoDB, or other SQL/NoSQL databases.
  • Commitment to the craft and the collaboration involved. Peer reviewing, and writing robust, reusable, and testable code.
  • Understanding of scalability and performance.
  • Ability to lead or self-organize a project through the entire feature development life cycle.
What We Offer
  • Option to buy stocks at a discount.
  • Modern offices near Oslo Central Station.
  • All devs and designers are located in Oslo (no remote devs).
  • Social stuff (parties, morning sauna, Friday beers, ping pong table, good vibes).
  • Flexible work hours and location.
  • 2-day bi-monthly Hackathon during work hours.
  • Personal development hours during work hours (10 hours /month).


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