Description

Maltem is a community of 1,200+ passionate individuals dedicated to innovation, new technologies, data and digital transformation projects.

Founded in 2001 and located in 11 different countries, our footprint covers France, Singapore, Hong Kong, Vietnam, Luxembourg, Belgium, Madagascar, Morocco, US, Canada and Australia. Our expertise consists of 18 years of market knowledge into the business organization, digital practices, agile, data management and innovation.

Our Australian operations are growing rapidly, and we are partnering with local blue-chip and multinational companies on truly transformational engagements

About the Opportunity (Sydney or Melbourne)

We are looking for an experienced full stack software engineer with experience in building machine learning solutions on Azure.

You will design and build a world-class Machine Learning Platform to improve the productivity and velocity of Data Scientists, while working with key technologies open-source technologies such as Docker and Kubernetes and ML frameworks.

Qualifications

• Bachelor of Technology or Computer Science or equivalent (Preferred)
• Experience in one or more areas around API development, cloud security, DevOps and software engineering, containerisation (Docker or Kubernetes)
• Past project deliverables in Machine Learning context
• End-to-end data warehouse and ETL pipeline understanding
• Strong R/Python and SQL
• Minimum 5 years experience

Why join us?

Being part of our Data & Analytics community means that we will gather quite often.

The key elements of our community are:

• Quarterly dedicated time to co-create the future of work/the future of Maltem and our practice(s)
• You will have the opportunity to have a mentor in this adventure
• You’ll have the opportunity to co-create meet-ups / events
• We will invest in your training with the willingness of empowering our community
• A huge yearly gathering event
• A daily group to share and stay in touch

We are looking to go beyond expectations and shape the future of work by working with passionate, skilled and energetic people both in support and delivery side