
at Macquarie
Investment BankingPosted 3 days ago
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**AI Engineer - BFS | Mid-Senior Level | Sydney, Australia** Join Macquarie's AI Engineering Platform team to design, deploy, and monitor AI solutions at scale. Own the full software development life cycle in an Agile and DevOps environment, collaborating with data scientists and engineers. Explore and integrate new AI technologies like generative AI. **Responsibilities:** - Design and deliver AI solutions at scale - Collaborate with data scientists and engineers in an Agile and DevOps environment - Explore and integrate new AI technologies **Skills & Experience:** - 5+ years in software engineering (Java, Go, Python) - Experience in AI/ML best practices, CI/CD pipelines, and model monitoring - Strong knowledge of cloud technologies (Google Cloud Vertex AI, AWS SageMaker) and machine learning services - Hands-on with AI frameworks (LangChain, Semantic Kernel, TensorFlow, PyTorch) - Understanding of architectural patterns, cloud-native solutions, and containerisation **About Macquarie:** - Global financial services group with 56 years of unbroken profitability - Collaborative environment with continuous learning and high-quality technology outcomes - Hybrid and flexible working arrangements, dependant on role
- Compensation
- Not specified
- City
- Sydney
- Country
- Australia
Currency: Not specified
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AI Engineer
What role will you play?
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What you offer
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- 5+ years of experience in software engineering using languages such as Java, Go or Python, across the full software development life cycle in an Agile and DevOps environment
- Experience applying best practices for artificial intelligence and machine learning, including continuous integration and delivery pipelines and model monitoring
- Strong knowledge of cloud technologies and machine learning services, with experience in tools such as Google Cloud Vertex AI, DataRobot or AWS SageMaker, along with SQL and Python environments
- Hands-on experience with AI frameworks and tools such as LangChain, Semantic Kernel, TensorFlow and PyTorch
- Understanding of architectural patterns, cloud-native solutions on AWS and Azure, microservices, system integration, and containerisation.
What we offer
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- 1 wellbeing leave day per year
- Up to 5 additional service bonus leave days per year
- Up to 20 weeks paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks paid leave for non-primary caregivers
- 2 days of paid volunteer leave and donation matching
- Up to 12 months gender affirmation leave, including 6 weeks paid leave
- Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
- Access to a wide range of salary packaging options
- Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
- Hybrid and flexible working arrangements, dependent on role
- Reimbursement for work from home equipment
About Banking and Financial Services
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Our commitment to diversity, equity and inclusion
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