Machine Learning Engineer

2 weeks ago


Stockholm, Stockholm, Sweden Instabee Full time

About Instabee

Instabee is a Sweden-based tech company founded in 2015 with the mission to simplify online shopping. In 2022, the company merged with Budbee to form Instabee, a leading European e-commerce enabler. With a strong focus on last-mile delivery, Instabee serves millions of consumers across Europe with convenient delivery options.

The Role

We're seeking a highly skilled Machine Learning Engineer - Optimization Expert to join our Route Optimization team. As a key member of our team, you will play a crucial role in building, maintaining, and enhancing the models and services that drive our core operations. Your work will directly impact how Instabee optimizes its routes, empowering the business to make informed strategic decisions, improve operational efficiency, and enhance customer satisfaction.

Responsibilities

  • Develop and maintain machine learning models and services
  • Lead feature development and refactoring efforts
  • Collaborate with algorithm engineers, machine learning engineers, and the broader tech team
  • Advocate for best coding practices and inspire others to maintain high standards
  • Stay at the forefront of software development trends and experiment with new approaches and technologies

Requirements

  • 3+ years of experience as a Software Engineer or Machine Learning Engineer in a modern tech environment
  • Experience in building and deploying machine learning models
  • Strong programming skills in Python and Java, with experience with various databases
  • Familiarity with Kubernetes, Helm, Docker, and other DevOps tools

What We Offer

  • A dynamic and challenging work environment
  • Opportunities for professional growth and development
  • A collaborative and inclusive team culture
  • A competitive salary and benefits package
  • A unique chance to work with cutting-edge technology and make a real impact on the business

We're an Equal Opportunities Employer

We're committed to creating an inclusive work environment where everyone's perspectives and opinions are valued. We welcome applications from diverse candidates and are dedicated to creating opportunities for all employees to thrive and reach their full potential.



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