This is a Professional, Machine Learning Engineer role with one of the leading companies in AU right now CoreLogic with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off. More About the Role at CoreLogic Job Description: Who are we? CoreLogic is the leading provider of property data and analytics in Australia and New Zealand. We’re fiercely independent, and we’re considered the best in the business. Every day, our data scientists and researchers collect data from over 4.5 billion points across the CoreLogic universe. We then rinse and finesse this data to transform it into powerful property market insights that drive the best property decisions. Our purpose At CoreLogic, we help people build better lives by providing rich property insights that inform the very best property decisions. We know that behind all the numbers, algorithms, and sophisticated data technology there are people, families, and communities. There are hopes, dreams, ambitions, journeys, expectations, fears, crossed fingers and vulnerability. It’s those things that matter. And it’s those things that we want to connect with, enable and tackle. Who are you? Our business is only as strong as the data and products we provide to our customers. That's where you come in. You are passionate about data and our customer experience and enjoy working collaboratively in the company of a highly skilled team. You are technically skilled and have several years of experience under your belt and are looking for the next big challenge in your professional career. What is the role? In this role you will be responsible for prototyping, building and deploying advanced analytics and machine learning software related to the residential property market. This hands-on role will suit a generalist who enjoys working with a range of technologies and tools used for automating and deploying models into a production environment. The role must be knowledgeable and able to apply standards and best-practices for technical excellence and compliance with security, governance, privacy and ethical requirements. What will you be doing? - Develop and maintain analytics software solutions using AWS services, such as Batch, Lambda, CloudFormation, API Gateway, Athena, etc. - Collaborate with data-scientists and business-stakeholders to understand computing needs and help translate these into technical specifications. - Assist in supporting and monitoring existing analytics production workflows, including batch computing and machine learning (ML) processes, as well as APIs. - Ensure that all data processes and assets are well-documented, up-to-date, and easy to understand for the team. - Stay informed about industry trends and incorporate new technologies or methods to improve processes. Job Qualifications: Are you the right fit? To be successful in this role the key competencies required include: - Strong technical skills in Python essential. - Experience with AWS or equivalent other cloud environments - any or all of EC2, S3, RDS, Athena, Dynamo DB, AWS lambda, API Gateway. - Experience in server less architectures, containerization & CI/CD – API development experience also desirable. - Experience in working on full products lifecycle, from proof-of-concept through to release to market - Strong problem-solving skills, excellent attention to detail, focus on accuracy, critical 'out-of-the-box' thinking. - Ability to assess the effectiveness of processes and procedures, and recommend improvements. - Ability to work well as part of an agile team as well as independently with minimal supervision. - Delivery oriented and ability to drive towards deadlines and ensuring customer outcomes are delivered. - Strong inter-personal communication skills and ability to have your message heard and understood What credentials do you need? - Bachelors (or higher) degree in computing, mathematics, statistics, or science related disciplines. - Minimum of 1-2 years commercial experience using relevant software tools, e.g. SQL, Python, AWS, GCP. - Experience in working in a data-lead business or an equivalent department in a larger company. What does success look like? Key Performance Indicators are based on: - Completion of tasks/projects by the required timeframe. - Meeting SLA’s for trouble shooting and issue resolution of analytics products. - Identifying process improvements and automating where possible. - Increase revenue generated through the delivery of analytics products. - CORE Behaviours. If you don’t think you're a perfect fit, you should still sign up to Hatch and create a profile, we'll match you to other roles that suit your profile. Hatch exists to level the playing field for people as they discover a career that’s right for them. We model this in our hiring process for our partners like CoreLogic. ✅ Applying here is the first step in the hiring process for this role at CoreLogic. We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Hatch is for everyone.