Machine Learning Engineer

About us

Mantel Group is a technology consulting company based in Australia with specializations in Cloud, Digital, Data & Security. Since we were established in November 2017, we've seen remarkable growth across Australia & New Zealand and are honored to have been acknowledged as a Great Place to Work for the past 4 years!

We hire intelligent and talented individuals and trust them to get the job done. As an organization based on principles, we operate with a flat structure without any hierarchy. Our focus is on our , eradicating bureaucratic hurdles and empowering you to do your work.

Mantel Group operates under a house of brands strategy where each brand has a distinct technology specialization. They collaborate closely to deliver exceptional results for our clients. The brands include Aginic, Azenix, CMD Solutions, Cuusoo, Cyber, DigIO, Eliiza, Itty Bitty Apps, Kasna, and Pretzel Lab. This also enables your personal growth in your career by providing new skills, challenges, and technologies within our single business.

About the role

As a Machine Learning Engineer with Eliiza, you will collaborate with bright, passionate, and proficient individuals to deliver high-quality data science and ML solutions to our clients.

Our projects and clients are varied, but here's a typical snapshot of some of your responsibilities:

• Choosing the best technology for a specific data science use case
• Selecting the best operational architecture for a ML application
• Creating ML applications
• Applying principles to data science procedures, such as constructing reproducible training pipelines
• Setting up cloud services to operate ML workloads
• Automating repetitive tasks in ML workflows
• Providing consulting services combining architectural vision and hands-on technical experience using the latest AI/ML tools and methods
• Supporting pre-sales activities including conversations, presentations, and proposal writing
• Contributing to thought leadership activities, including blog and brown-bag content, for Eliiza, Mantel Group, and the broader AI/ML community

What you’ll need to be successful

• fundamental modern software engineering skills (ability to 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 relevant language, such as Python
• Cloud engineering skills to architect, use, and deploy cloud services in at least one cloud stack
• understanding of essential machine learning and data science concepts across different fields
• good understanding of concepts in machine learning development cycle & MLOps, such as model development, model deployment, data versioning etc.
• proof of ML project delivery or self-learning that can be demonstrated
• experience with one or more ML technologies and/or frameworks such as Amazon Sagemaker, Google AI Platform, 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 you can expect from us:

• Join one of Australia’s Best Workplace (top 10 four years running) in the Medium category as awarded by Great Places to Work Australia.
• You’ll be equipped with all necessary tools including a new phone, laptop & gear.
• We believe in unique experiences for all. Our My Deal program allows you to tailor your annual plan, with the guidance of your leader, to prioritize what’s most important to you. This might be extra professional development, extra annual or parental leave, time to work on your side hustle, or something completely different! Simple one-size-fits-all solutions are not our thing.
• You’ll be genuinely backed by a company that cares not only about you but also your family. Mantel Group offers Flexible Personal Leave options designed for those unexpected moments in life.
• We support a flexible hybrid approach to working where you can choose the best workplace locations based on the project, role, and client requirements. This can vary based on our client needs.

#EAST