As a Data and Machine Intelligence Engineer, you will work directly with company’s most strategic customers on critical engagements to help them to transform their businesses. You will help customers understand how Machine Learning can be used to support a wide range of data analytics and artificial intelligence workloads. You will provide consulting and technical horsepower in key engagements while working with client executives and key technical leadership to deploy solutions using Google’s Cloud, Amazon AWS and Microsoft Azure ML technologies.

You'll also work closely with key Google, Amazon and Microsoft’s product managers helping to service top accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise.

You will have the opportunity to tackle the complex problems of scale which are sometimes unique to our customers while using your expertise in resolving problems, coding, algorithms, complexity analysis and large-scale system design.

This is a hands-on technical expert role with a high potential for learning new things and creating new experiences. If you are a positive-thinking, versatile technical expert who has that kind of i-want-to-know-everything drive, and you thrive in a fast-paced, startup-like environment, we want you on-board with our all-star winning team.

As a Data and Machine Intelligence Engineer, you will be focused on delivering and, at times creating, cutting-edge Machine Learning training to the clients. You will be working side by side with our customers as they try to see how they can apply ML to their businesses. You'll be the owner of the ‘day-to-day’ ML experience at DoiT International. Therefore you will always be working to see how you can make the offering better, be that by making recommendations to the curriculum team about curriculum enhancements, identifying Machine Learning experts who should be brought in to support various positions or making recommendations on pre-packaged Machine Learning models or projects that should be added.


  • Interact with senior and technical stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and consulting services.
  • Participate in technical and design discussions with technical executives, acting to speed adoption and ensure best practices during implementation.
  • Provide a point of escalation for customer inquiries and serve as the first point of contact to DoiT International for Machine Learning consulting services.
  • Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of Machine Learning workloads
  • Work closely with practice areas, product and engineering at Google, Amazon and Microsoft to package best practices and lessons learned into thought leadership, methodologies and product strategy.
  • Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to the levels and expertise of key business and technical stakeholders accordingly.
  • Stay on top of developments in ML and network across the ML research community so that you can provide our customers with up to date knowledge as well as unique opportunities to have highly interactive engagements with other ML experts.
  • Support the Professional Services Machine Learning practice in the delivery of client facing service packages (e.g helping our clients build ML models).
  • Act as a ML subject matter expert and support other ML activities as they arise (e.g. work to develop intellectual properties, be a speaker at external events, run ML boot camps and workshops).