Senior Machine Learning EngineerHybrid

Who we are:

We are a leading operator in Australia and New Zealand’s fast-growing Out Of Home advertising industry and our purpose is to make public spaces better! As an ASX listed company with 800+ team members, we create deep engagement between people and brands through Unmissable location-based media solutions that inform, entertain, and inspire. Our network is unparalleled, with a diverse portfolio of 37,000 classic and digital signs across roadside, retail, airport and place-based media offering in CBD office towers and universities. 

Our culture:

Join an organisation united by drive, creativity, innovation, and community. We show up and we are all here to be bold, to be brave and to push the boundaries in Out Of Home advertising. United by our commitment to imagination, you will have the opportunity to collaborate with diverse, talented, and dedicated colleagues across Australia and New Zealand who are all passionate about raising the bar each and every day. Realise your potential and make an impact with us.  

The role:

We are seeking a Data Engineer with expertise in MLOps to refine and enhance our data products deployment infrastructure and at the same time contribute to our data warehousing initiatives. With your deep experience in data engineering and a strong foundation in MLOps practices, you will play a crucial role in collaborating with business and technology teams. This position involves close coordination with both internal solution architects and external experts from AWS and Databricks, aiming to design, build, and enhance scalable data systems and workflows. By integrating different types of analytical models into production and leveraging advanced data warehousing techniques, you will ensure the efficient delivery and continuous improvement of high-quality data products. 

In order to be successful for this role we would be seeking the following skills and qualifications:

• Bachelor’s degree in computer science, or a related engineering discipline. 
• Minimum 3-4 years’ experience in data engineering with a proven track record of writing production-level code, particularly with experience in building and optimising data warehouses and implementing MLOps practices. 
• Proficient in programming with Python, SQL, and Spark for data processing and analytics.  
• Demonstrated experience with Linux/Unix based systems in a cloud environment, including AWS, Azure, or GCP, with a focus on leveraging cloud services for data warehousing and analytical model deployments. 
• In-depth understanding of the software development life cycle, with emphasis on DevOps and MLOps methodologies to ensure continuous integration, testing, and deployment of data and model pipelines. 
• Experience with the Databricks platform is highly valued, especially proficiency in using it for data engineering tasks, model development, and deployment within a unified analytics platform. 

Our Benefits:

• You flex – We are all different and we recognise that. You can flex how and when you need and we have the opportunity to flex as work in a flexible capacity in an environment where you can bring your best self
• Best You - We strongly encourage our people to be their best selves and we have internal and external training plus structured and defined career paths, NGEN memberships, peer mentoring, team shadow opportunities
• Your leave, your way - purchase additional annual leave, inclusive paid parental leave policy that supports all parents and carers, paid wellbeing day, paid community service and volunteering leave days, swap a public holiday for a day of significance
• Support You – We have partnered with wellbeing market leader, Sonder, which provides our people and their immediate family, free human centric wellbeing and care support 24/7. We also provide discounted gym memberships, clothing apparel and discounted online wellbeing retailers

Celebrate You - Active Reward and Recognition Program for peer-to-peer kudos! 

If you’re curious, brave, and ready to leap into a career like no other, then apply now!

oOh! actively seeks to include and values the unique talents, perspectives, experiences, and contributions of all people, and is committed to equality, diversity, and inclusion. We are committed to providing a work environment in which everyone is included, treated fairly and with respect. We celebrate our uniqueness and know that our strength lies in our different background, ideas, and perspectives. As an equal opportunity employer, we strongly encourage applications from all peoples, all cultures and all gender identities from Australia and New Zealand.

oOh! is committed to employing team members who align with our Values and who meet the requirements of the role. As part of the recruitment process, there are a number of checks which may be conducted to demonstrate your suitability for a role including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and/or reference checks.