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Role- ML Engineer
Type- Permanent
Location- Sydney/Melbourne
Skills- MLOps, Python, PyTorch, TensorFlow, Databricks, SageMaker, Vertex AI, Azure ML, Spark, Ray, Dask
JD
- Expert in machine learning algorithms, statistical modelling, and experimental design
- Proficiency in Python (and libraries such as scikit-learn, PyTorch, TensorFlow) for model development and deployment
- Hands-on experience with modern ML and cloud platforms (e.g., Databricks, SageMaker, Vertex AI, Azure ML)
- Skilled in MLOps practices including CI/CD for ML, model versioning, deployment, monitoring, and retraining
- Familiar with large-scale data processing and distributed computing frameworks (e.g., Spark, Ray, Dask)
- Deep understanding of feature engineering, model interpretability, fairness, and responsible AI principles
- Ability to translate complex ML solutions into business impact and communicate findings to technical and non-technical stakeholders
Interested people can share their resume at [email protected]
Key Skills
Ranked by relevance
ai
tensorflow
pytorch
python
spark
mlops
distributed computing
machine learning
cloud
cicd
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- Posted
- Oct 14, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Sydney
- Company
- CareCone Group
Industries
Information Services
IT Services
IT Consulting
Categories
Information Technology
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