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Machine Learning Engineer

2 months ago

Sydney, New South Wales, Australia Singtel Group Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Optus. As a key member of our AI/ML team, you will be responsible for designing and implementing cutting-edge machine learning solutions that drive business growth and innovation.

Key Responsibilities
  • Develop and deploy machine learning models using Spark in Scala, Python, or R
  • Collaborate with cross-functional teams to integrate machine learning models into broader systems or applications
  • Contribute to the enhancement of our technology stack by designing new AI/ML capabilities
  • Assist in configuring and building scalable and efficient AI/ML solutions
  • Participate in code reviews and foster team growth by sharing knowledge and best practices
Requirements
  • 2-3 years of experience in a similar role or software engineering/development
  • 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
What We Offer
  • 3 days in the office, 2 days remote – with flexible hours to suit
  • Inclusive paid parental leave, up to 14 weeks for the primary caregiver
  • Access to an extensive online and facilitator-led learning catalogue – even earn a MBA micro-credential via Optus U (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

We are an equal opportunities employer and welcome applications from diverse candidates. If you require any adjustments or accessibility support to participate fairly and equitably in the recruitment process, please email Accessible along with your preferred method of contact and we will be in touch.