Machine Learning Engineer

  • Infobip
  • Seattle, WA, USA
  • 17/11/2021
Full time


Why is this role important at Infobip?

We are looking for someone to join OpenMarket, an Infobip company as a a Machine Learning Engineer. On this position you will directly impact the quality of the software we produce, dealing with challenges of deploying machine learning models at large scale. You will help teams orchestrate their machine learning pipelines, making sure the end customer benefits are tangible and impactful, predicting and detecting fraudulent messages, optimizing the best time to send messages, improve our customer experiences with recommendations for best product or service.

What will you do at Infobip?

  • Deploy complex machine learning models to a variety of output environments in a B2B and B2C settings
  • Understand, explore and industrialize the entire A to Z data journey process to ensure data scientists get the data they need, when they need them, at the best possible quality
  • Provide excellent metrics for data modeling and management
  • Write well designed, testable, and scalable code in accordance with Infobip engineering code principles
  • Have a general overview and understanding of the interactions and dependencies in the entire system
  • Regularly contribute to discussions and brainstorming with high quality ideas that result in adoption and improvements


Required qualifications:

  • Mid or senior professional looking for a high-growth challenge
  • Good knowledge and understanding of object-oriented programming principles, Java expertise and full stack exposure
  • Good knowledge and skills working with SQL, Linux, and Python
  • Expertise through exposure and use of popular machine learning operations (MLOps) toolkits and frameworks, including vendors’ offerings (AWS Sagemaker, MSFT Databricks, ML Studio) and open source solutions (e.g.,,
  • Experience working with data science teams in an integrated ML workflow production environment
  • Experience working in a dedicated DevOps environment with agile software development practices
  • You have strong analytical skills and the ability to propose and provide innovative solutions.

Nice to have qualifications:

  • Knowledge and understanding of containerization technologies (e.g., Kubernetes, Docker)
  • Exposure to AWS and/or Azure machine learning services
  • Exposure to containerization machine learning workflows (e.g., Kubeflow)
  • Experience with ML as a Service Platforms – e.g. Databricks or some OSS e.g. MLOps which encompasses ML Ops stages
  • Hands on experience with Tensor Flow Extended and Tensor Flow Serving

Additional Information

What you can expect from Infobip:

  • Cutting edge technology & processes – To us, continuous delivery and integration aren't just buzzwords - all our teams combined deploy something new every 5 minutes.
  • Educational budget – You get to decide will you spend your budget on conferences, online courses or certifications. 
  • Global products developed in-house – We depend on the quality of our in-house developed products, which is why we put so much emphasis on code quality. The fact that our products are being used by more than half of the world’s population means that we have to make our software platform scalable.
  • Opportunity knocks. Often. – Being a part of a growing company in a growing industry – we challenge you not to grow! Whether it’s horizontal, vertical, or angular, we want to support the path that you want to carve.
  • Learn as you grow – Starting from the Orientation Week as an onboarding program, to internal education, our 3-day Dev conference, Hackathons to attending conferences, we invest heavily in employee learning and development.

We do not ask for any fees (refundable or non-refundable) at any stage of the job application and or recruitment process. We, therefore, appeal to job seekers not to respond to any such requests.