About Us
Mantel Group is an Australian-owned technology consulting business with capabilities across Cloud, Digital, Data & Security. We have experienced remarkable growth across Australia & New Zealand and are honoured to be recognised as a Great Place to Work for 4 years in a row.
Our Culture
We hire smart and talented people and get out of their way. As a principle-based organisation we have a flat structure with no hierarchy. By focusing on our five principles and not getting caught up in red tape, we trust you to get the job done.
Data at Mantel Group
Working in data at Mantel Group means there's opportunities to align to a particular technology or remain tech agnostic. Our teams are made up of awesome people who specialise in numerous areas of data so there's endless opportunities for you including data engineering, machine learning, data analytics and data science.
Job Description
As a Machine Learning Engineer with Mantel Group you will work with other smart, passionate and skilled people to deliver high quality data science and ML outcomes to clients.
Responsibilities
* Selecting the best technology for a given data science use case
* Choosing the best operational architecture for a ML application
* Developing ML applications
* Applying MLOps principles to data science workflows, e.g. building reproducible training pipelines
* Standing up cloud services to run ML workloads
* Automating repeatable routines in ML workflows
* Providing consulting services that combine architectural vision with hands-on technical experience using some of the latest AI/ML tools and methods
* Supporting pre-sales activities including conversations, presentations and writing proposals
* Contributing to thought leadership activities, including blog and brown-bag content, for Mantel Group and the wider AI/ML community
Requirements
* Commercial software development experience across different industries and organisations
* Commercial experience of machine learning application development
* Production experience in at least one cloud stack
* Consulting experience, either with external clients or internally within an organisation
* Fundamental modern software engineering skills (can design and implement a well structured code base and software development cycle, including CI/CD, TDD, monitoring/logging)
* Solid programming skills in at least one applicable language, such as Python
* Cloud engineering skills to architect, use and deploy cloud services in at least one cloud stack
* An understanding of key machine learning and data science concepts across different areas
* Good grasp of concepts in machine learning development cycle & MLOps, such as model development, model deployment, data versioning etc.
* Evidence of ML project delivery or self learning that can be demonstrated
* Exposure to one or more ML technologies and/or frameworks such as Amazon Sagemaker, Google AI Platform, Databricks / mlfow, AI API Services, and/or TensorFlow, Pytorch, Scikit-Learn etc, with demonstrable production experience
* Ability to search and evaluate the best tool for a range of different technical problems
What We Offer
1. We know you won't have one job for life. At Mantel Group we believe in supporting our team to take their career in a direction that aligns with their passions. We have internal opportunities across Cloud, Data, Security and Digital.
2. You'll get all the tools you need to hit the ground running including a new phone, laptop & swag.
3. We believe in unique experiences for all. Our My Deal program allows you to tailor your yearly plan, with the support of your Leader, to decide on what's most important to you. That might be extra professional development, extra annual or parental leave, time to work on your side hustle, or something else completely different One size does not fit all.
4. You'll be genuinely supported by an organisation that cares about not only you but your family as well, Mantel Group offers Flexible Personal Leave options for those unplanned moments in life.
5. We support a flexible hybrid approach to working which is guided by our principles; we trust each other to