Lead, Machine Learning Engineer

Job Description

Job ID: 91533 Areas of Work: Analytics, Data & Research, Technology & Engineering Employment Type: Permanent Full-Time Location(s): Sydney Description & Requirements WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as 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 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 YOU’LL WORK WITH As a member of Bain’s Advanced Analytics Group, you’ll 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 YOU’LL DO 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 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, models, 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. Experience executing all stages of the lifecycle of a Machine Learning model. Experience working with cloud infrastructure and comfort with containers. Hands-on experience exploring and using LLMs and other generative AI technologies. Strong abilities coding in Python, embracing good code practices and agile development methodologies. Ability to build a service that exposes a ML Learning model to be consumed by other applications. Learning orientation, exploration of new tools and languages, and a passion for teaching others and sharing good practices. Versatility and willingness to flex and learn new skills to deliver value for our clients. 5 or more years of experience and/or a relevant graduate degree. Potential significant travel requirements (up to 30%) due to the international nature of our business. #J-18808-Ljbffr