Lead, Machine Learning Engineer (Brisbane)
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to beconsistently recognizedas one of the world's best places to work, a champion of diversity and a model of social responsibility. We are a Glassdoor Best Place to Work and we have maintained a spot in the top four since its founding in 2009.We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.
We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply.Bain offers comprehensive benefits and flexible policies that are designed to support you, so you can thrive personally and professionally.
Job Location: Brisbane
WHO YOULL WORK WITH
As a member of Bains Advanced Analytics Group, youll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions.Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.
WHAT YOULL DO
As a member of the growing ML Engineering team in Bains Advanced Analytics Group, you will:
Provide technical leadership for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
Work with general consulting teams to understand and advise on ML aspects of business problems, and appropriately prioritize and execute
Develop statistical/ML models to be handed over to clients as prototype or production software
Transform existing prototype code into scalable, production-grade software
Write, test, deploy and maintain machine learning code across the full software development lifecycle
Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common ML engineering problems across industries and business functions
Drive best demonstrated practices in software engineering, and share learnings with team members in AAG about theoretical and technical developments in ML engineering
ABOUT YOU:We are looking for someone who has:
Solid theoretical background on machine learning, and practical experience on building and deploying machine learning models.
You are practiced at executing all stages of the lifecycle of a Machine Learning model.
You have experience working with cloud infrastructure and are comfortable with containers.
You have been hands on over the last few years exploring and using LLMs and other generative AI technologies.
Strong abilities coding in Python, embracing good code practices and agile development methodologies.
You can build a service that exposes a ML Learning model to be consumed by other applications.
You are learning oriented, like to explore new tools and languages, and love teaching others and sharing good practices.
You like being versatile and are willing to flex and learn new skills when necessary to truly deliver value for our clients.
You have 5 or more years of experience and/or a relevant graduate degree.
There may be significant travel requirements (up to 30%) due to the international nature of our business.