Machine Learning Engineer

Who We Are:

DBM Vircon, a premier construction modeling, detailing and digital engineering company, delivers high-profile projects with state-of-the-art technology, uncompromising detail and millimeter precision. At DBM Vircon we see the future through a very different lens. With over five decades of experience in the mining, energy, and infrastructure sectors, DBM Vircon is recognized as one of the industry-leading design/detailing and digital engineering companies. Drawing upon over 900 team members, with experience in over 6 continents, we regularly challenge the status quo by delivering high-end solutions and integrated delivery methods on some of the industry’s largest projects. Innovation, eminence, and digital are at the heart of everything we do.

We are actively seeking a Machine Learning Engineer to take on the responsibility of crafting, building, and deploying Machine Learning models tailored to address business challenges within the Azure Machine Learning and AI platform. In this pivotal role, you will collaborate closely with data analysts, data engineers, and business stakeholders, actively contributing to the implementation of Machine Learning and AI solutions that elevate our operations and services.

Key Responsibilities:

• Design, develop, and deploy Machine Learning models into production.
• Collaborate with data stakeholders to understand requirements, transform data science prototypes into scalable solutions as well as delivering Machine Learning or AI-driven solutions.
• Improve and maintain existing Machine Learning/AI systems and services, ensuring reliability and performance.
• Conduct data analysis and feature engineering to improve model accuracy.
• Implement best practices for Machine Learning model development and deployment.
• Design and implement AI solutions using Azure AI services (including Azure Machine Learning, Azure AI Search, and Azure OpenAI).
• Develop scalable and efficient ML/AI models and pipelines leveraging Azure's cloud infrastructure.
• Enhance and maintain MLOps pipelines, contributing to the lifecycle of projects from inception to production.

Essential Criteria:

• Minimum one-year commercial experience in Machine Learning and Python in production environment.
• High-Level knowledge of Object-Oriented Programming with Python is mandatory.
• Strong knowledge of managing ML projects on cloud such as Azure or AWS.
• Proven track record in exploratory data analysis, version control, and using pandas, numpy, scikit-learn, matplotlib, and plotly.
• High-level working knowledge of  Random Forest / Gradient Boosting Algorithms.
• Degree in Computer Science, Data Science, Mathematics, Physics, or Engineering.
• Azure ML certification/experience is a plus.
• Python IDE: PyCharm or VSCode.

 
Values:

DBM Vircon is a values-based organisation and it is essential that the core values, beliefs, attitudes and behaviours of the successful applicant are aligned with that of DBM Vircon:

• Integrity – You behave and act with the highest standard of integrity and honesty; 
• Excellence – You strive for excellence to deliver innovative and quality solutions and outcomes. Curiosity is integral to your approach to achieve this – always looking for better ways to do things. You are determined to succeed in all of your actions;
• Collaboration – You seamlessly collaborate;
• Respect – You respect and value other people – you are inclusive in your behaviours and actions. You inspire, empower and help other people to grow, succeed and lead;
• Empathy – You understand, look after and serve other people.
   

Benefits

• Competitive remuneration package with super. 
• Work flexibility, with WFH day/s available after probation.
• Flexible start and finish hours to accommodate work-life balance.
• Access to an employment assistance program.
• Access to income protection insurance through super. 
• New modern office located in South Brisbane.
• Salary packaging options available. 
   

Equal Employment Opportunity:

DBM Vircon believes that when people from different backgrounds, with different experiences, points of view and capabilities work together there is increased organisational competence, innovation and performance. We are committed to building a diverse and inclusive workplace where our people can be their most authentic selves. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We celebrate diversity as a foundation of our strength, and we actively welcome individuals from a wide spectrum of backgrounds and experiences, encompassing but not confined to women, indigenous communities, the LGBTQIA+ community, people with diverse abilities, and those originating from a range of cultural backgrounds.

Don't be disheartened by a checklist of qualifications. We prioritise your potential and your capacity to contribute to our team.

Please note that only shortlisted applicants will be contacted.