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Associate Machine Learning Engineer
2 months ago
Associate Machine Learning Engineer
It starts with YES
At Optus, we are fuelled by optimism, unwavering customer focus, and a team of amazing people. And that’s where we come in…. “the amazing people” part We don’t sit back and wait for the future to happen, we are out there crafting our own path through new technology, innovation, and investment. We are truly a challenger brand, with challenger spirit.
Step into the exciting world of AI and ML as an Associate Machine Learning Engineer, where you'll be at the forefront of innovation, driving cutting-edge projects that shape the future. This role offers a unique opportunity to collaborate with talented professionals, push the boundaries of technology, and tackle complex challenges in a rapidly evolving landscape. You'll have the chance to develop and implement impactful solutions, working with the latest tools and techniques in an environment that encourages growth, creativity, and staying ahead of industry trends. If you're eager to make a difference and be part of something transformative, this is the role for you.
This opportunity will be an initial 12-month fixed term contract .
Your day in the life as an Associate Machine Learning Engineer
Prepare and analyse data to align with data science and machine learning objectives, ensuring alignment with user stories Develop applications using Spark in Scala, Python, or R, while maintaining adherence to best practices Contribute to the enhancement of our technology stack by designing new AI/ML capabilities Adhere to AI & ML Chapter Standards, including Test-Driven Development, coding standards, and DevOps code promotion practices Assist in configuring and building scalable and efficient AI/ML solutions Work collaboratively with cross-functional teams to integrate machine learning models into broader systems or applications Participate in code reviews and foster team growth by sharing knowledge and best practicesExperience required
Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field (completed or in progress) Practical experience gained through projects or internships, whether personal, academic, or professional Strong understanding of data engineering principles and best practices Experience or a demonstrated passion for machine learning algorithms and frameworks like TensorFlow or PyTorch Proficient in programming languages such as Scala, Python, and R, with additional knowledge of SQL being advantageous Exceptional problem-solving abilities paired with a strong analytical mindset Excellent communication skills, able to engage effectively with both technical and non-technical audiences A collaborative team player who is eager to learn and contribute to team knowledge. Familiarity with cloud platforms such as AWS, Google Cloud, or Azure Understanding and experience with version control systems like GitNice-to-haves skills:
Agile Development Practice: Ability to work within agile frameworks such as Scrum or Kanban. NLP Experience: Hands-on experience with Natural Language Processing techniques and libraries. Databricks: Familiarity with the Databricks platform for big data processing and model training.The good stuff …
3 days in the office, 2 days remote – with flexible hours to suit All Optus employees have access to resources, webinars and support via the ‘Parents at Work portal’ Own your own growth by accessing an extensive online and facilitator led learning catalogue – even earn a MBA micro-credential via OptusU (University) Connect at work through one of our employee-led volunteer groups: Culture Connect, Elevate Women, Disability Network, Express Yourself (LGBTQIA+), United Veterans and Yarn Network Vibrant campus life, variety of facilities including restaurants, cafes, gymnasium, GP, and post office Two easy travel options to Sydney Campus: Optus bus from Sydney CBD (20min travel time) and Macquarie University Metro Station (every 6-8 minutes); morning and afternoonAt Optus, we have an ambitious goal to be Australia’s most loved everyday brand.
