
Machine Learning Engineer
6 days ago
Job Opportunity:
We are seeking a skilled Machine Learning Engineer to join our team, working at the intersection of applied machine learning and generative AI for real-world enterprise use cases.
Key Responsibilities:
- Collaborate with AI scientists and software teams to build and optimize models, design intelligent systems, and bring next-generation secure AI capabilities into production environments.
- Design, train, fine-tune, and evaluate large language models (LLMs) and domain-specific models using structured and unstructured datasets.
- Build and optimize end-to-end ML pipelines, including data ingestion, transformation, vectorization, and inference workflows.
- Develop secure backend services using Node.js and Python.
- Design and implement GraphQL and REST APIs for AI-driven workflows.
- Work alongside the AI team to fine-tune, integrate, and deploy LLMs into real products.
- Contribute to performance testing, benchmarking, and ongoing optimization of deployed models.
Requirements:
- Recent graduate in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline.
- Minimum GPA of 6.0 or above from a recognized university.
- Experience with TypeScript, React, Node.js, and Python.
- Experience working on ML-related university projects, personal builds, research, or hackathons – links to work encouraged.
- Strong analytical thinking, problem-solving skills, and ability to work in a fast-paced, experimental environment.
- Full working rights in Australia, and availability to work standard AEST/AEDT hours.
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