ML & AI Engineer

Who are we?

So you might ask, who's CreditorWatch? Well, we are a leading Australian data and technology company that provides businesses with access to unique data and innovative products. By using our platform, our customers can confidently manage their commercial relationships, improve productivity and reduce financial risk.

As a commercial credit reporting bureau, we offer a complete suite of credit reporting products and data insights covering the entire customer lifecycle, from customer onboarding and credit decision automation to credit risk management and automated collections.

We were established in 2010 and most recently were named as one of AFR's Top 10 Best Places to Work as well as certified by Great Place to Work consecutively across 2022-2025.

We saw significant growth in 2025 and that's not about to change. We are on track to break records in 2026, scaling at pace, making this the perfect time to join CreditorWatch.

✅ Empower Australian businesses to trade confidently with their customers.

🏆 We aim to be number one in our industry by delivering unique data insights and innovative products.

In this newly created role, we are looking for an experienced ML & AI Engineer to help us accelerate the deployment and operationalisation of predictive models at CreditorWatch.

As part of a ML and AI team within a rapidly growing Data function, you’ll be building scalable ML and AI infrastructure, managing model and feature artefacts, and ensuring robust production workflows.

You will work closely with data scientists and engineering teams to bring models from development to production, with a strong emphasis on reliability, governance, and performance. Our infrastructure is built on AWS, with a data and analytics platform on Databricks.

You'll report directly to the Machine Learning Engineering Manager. Please note, it's a full-time opportunity offering hybrid working conditions out of our Sydney CBD Office.

We are also open to the successful candidate being Melbourne-based.

Some of your responsibilities include and are not limited to:

• Build and design production-grade ML systems and lifecycle management.
• Develop and maintain feature stores, model registries, and artefact tracking systems to support reproducibility and governance.
• Collaborate with data scientists to transition models from research to production, ensuring scalability and compliance.
• Build and maintain MCP servers, vector databases to design, support, and implement AI initiatives.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• 5+ years of experience in machine learning engineering, with a strong focus on production deployment and MLOps.
• Proven experience with ML platform tools such as MLflow, Sagemaker, Vertex AI, or similar, and cloud platforms (AWS, GCP, Azure) and integrated data platforms, Databricks, Snowflake).
• Deep understanding of AI/MLOps practices, including CI/CD pipelines, monitoring, and end-to-end model lifecycle management in production environments.
• Experience building MLOps in Databricks highly regarded.
• Strong experience in Python, SQL and/or other codebases.

🏃🏽‍♀️ Keep Active – All employees get a Fitness First Platinum gym membership.

☕️ Daily Fuel – Barista-made coffee, breakfast, snacks, lunches and drinks on us – we got you!

📲 Phone Credits - We pay you $50 per month to put towards your plans - how good.

❤️‍🩹 Wellness Days – Receive an additional day off each month. Whether you’re pursuing physical activities, cultivating your mental wellbeing or supporting your community… this is your time to switch off from work.

💆🏽‍♂️ Monthly Massages – We offer monthly in-house massages to soothe those sore spots and tight knots. Poor posture? Stressful week? We get it.

💰 Bonus Shares – We offer our dedicated employees’ performance-based bonuses. Our employees are also permitted to gain access to our bespoke Employee Share Scheme, giving you the rare opportunity to invest in a growing technology company.

🤩 Fun Activities – We love escaping the workplace to do fun stuff. Whether its pasta-making, sailing classes, touch footy, winery tours, go karting or relaxing on the company boat (yeah… we own a boat) – these monthly team building activities will keep you feeling valued and connected.

👩🏻‍⚖️ Legal Services – Our employees get access to free legal services – from conveyancing and property advice to legal assistance around wills, trusts, powers of attorney and more. We make life easier for you, saving you time, money and unnecessary headaches.

⚡️ The 1%’ers add up – Our commitment to going that one step further sets us apart, as we believe that small efforts or improvements in any aspect of our work collectively lead to significant success.

👊🏼 We are dependable and trustworthy – Our clients are everything to us and we are passionate about maintaining and delivering reliable and trusted services to them.

📈 We are committed to growth – Our success comes from our ability to grow and adapt; both collectively and individually. We set the bar high to ensure we continue to innovate and exceed expectations. We are dedicated to the development of our business and our people.

🫶🏾 Our people make the difference – Just as we help small businesses think big, we help our employees achieve their aspirations. We provide our people with challenges and opportunities, supporting them to live their best lives.

Recruitment Process – We like to keep it simple!

1. Phone Screening – A deep dive into the company, role and experience required, including a thorough review of your match to the role – let’s get to know each other and ensure the opportunity is a match!
2. Hiring Manager Meeting – This is an opportunity to showcase why your background and skill set aligns to the role and ask questions – be as curious as you want!
3. Functional Meeting – Here you’ll be set up with a take home case-challenge that is designed to look into the way you think and approach certain situations.
4. Values Meeting – We’d love to hear why CreditorWatch and see how you’d fit into our world.

We offer a fantastic culture with open communication and rewards and recognition that include probation celebrations, all-staff birthday and service anniversary celebrations.

We are an equal opportunity employer and committed to excellence through diversity. We do not discriminate on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are a 2024 Circle Back Initiative Employer – we commit to respond to every applicant.