Senior-Lead ML Consultant

Senior Machine Learning ConsultantLocation: Sydney or MelbourneAbout DiUS

DiUS is an Australian-owned technology services company with an excellent reputation as a trusted consulting partner. We’re a go-to company for helping organisations of all sizes improve their delivery practices, tackle hard engineering problems, modernise legacy applications, and design, build and deliver a new product to market. We have a powerful ability to figure out the best path forward for each of our clients by drawing upon our broad range of deep and specialist capabilities: software engineering, experience design, data and analytics, machine learning and the internet of things. Further, we bring with us the ability to look towards the future. We look ahead to identify trends in technology, practices and approaches that will have an outsized impact on how technology products are built and delivered.
This makes us a great place for those who love tech, are inspired by learning, and who thrive through constant variety. A place where you’ll be surrounded by growth and opportunity. A place where you’ll have fun and be celebrated. A place where you’ll become the best version of yourself: a DiUS Navigator. We truly value our people and nurture an inclusive environment which has seen us close the gender pay gap, and be recognised as #7 best workplace on the Best Workplaces – Technology list for 2024 by Great Places to Work Australia.

 About The Role

This is a role for the natural consultant - the problem solver, the constantly curious and the lifelong learner. In this exciting and hands-on role, you’ll be working alongside highly passionate and skilled people and playing a key role in communicating and engaging with a variety of clients, helping them navigate the right approach for their business problems, as well as developing code and implementing custom models to support their Data and AI journey. 

About You

Technical AI/ML skills

• You're passionate about solving real-world problems in new and effective ways using data, AI and ML
• You have experience in Software Engineering, with commercial experience in deploying code in cloud platforms  
• You have 5+ years of commercial experience in Machine Learning, with proficiency in at least two specific areas such as natural language processing, computer vision, recommendation systems, structured data prediction etc
• You are able to quickly identify whether AI or ML is an appropriate technology for a client problem, and can choose the right AI / ML approach
• You are adept at developing custom models, as well as preparing the training and validation data, and selecting the appropriate algorithms
• You have experience with MLOps and have deployed models into production, in the cloud
• You have commercial experience with some of the following ML frameworks: Scikit-Learn, Tensorflow, Pytorch or other similar frameworks
• Python is a must
• You are competent working within different technology landscapes and ML related cloud services including AWS Sagemaker, GCP Vertex AI and/or Azure ML
• You can define a Proof of Concept/Value, and chart (and estimate) a path to production including identifying how it can integrate into the wider solution.
• You will also have recent experience with GenAI / LLMs in a commercial context
• You have worked with GenAI and agentic frameworks such as Bedrock, Langchain, langGraph, CrewAI
• Extra bonus points if you have some data engineering experience and a willingness to spend time working with data. 
• Familiarity with big-data & tools and data modelling
• Familiarity with data services on the cloud, or data platforms such as databricks or snowflake
• Experience with data analytics and dashboarding

Consulting skills (these are just as important to DiUS and our clients!)

• You aspire to contribute to business outcomes that provide real value to clients, regardless whether it’s navigating the complexity of a large enterprise or influencing in a fast-paced start-up
• You have experience leading end to end projects, and can independently manage business stakeholders & showcase progress
• You have excellent communication skills
• You have solid experience in Agile ways-of-working and enjoy working in a collaborative team environment, can shape and track a backlog pertaining to your related tasks. 
• You will have experience in providing technical pre-sales support, understanding client needs and requirements, and helping to create and shape recommendations
• You have a passion for learning and sharing thought leadership with your peers and network

Why work for us?

At DiUS, we're really proud of the work we do and have an excellent track record in growing our people. We've created a place to call home for those who love emerging tech, are inspired by learning, and want to leave the world a better place than they found it. We're big fans of gaining and sharing knowledge and support our people through funding events, memberships and broader development opportunities. 

We value our people and provide an inclusive environment. Being different, diverse, and having trust is important for us. 

At our core, we are driven by our values—always growing, moving humanity forward, seeking greatness, and being about the band. They reflect our passion, purpose, and beliefs. We are excited about what comes next in our journey, and we are hoping you'll join us along the way.