-
Peoplebank
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Multiple Data & AI Roles – Work with a Leading Organisation
Australia
· Full-time
·
Not Applicable
Our client is investing heavily in their internal Data & AI capability and has engaged us to support the recruitment of several key roles. These positions are permanent, Sydney-based (with hybrid flexibility), and sit within a major transformation program focused on enabling advanced analytics, GenAI, and machine learning services.
We’re currently recruiting across the following areas:
🔹 Machine Learning Engineers & Data Scientists
Hands-on experience with Azure ML, Databricks, SageMaker, PySpark, TensorFlow, and Scikit-learn. Strong understanding of ML model development and deployment is essential.
🔹 NLP & LLM Engineers
Focus on large language model (LLM) development, fine-tuning, and prompt engineering using tools like Azure OpenAI and HuggingFace. Experience with GenAI, RAG, and text analytics is highly regarded.
🔹 MLOps Engineers
Support the full ML lifecycle with MLFlow, CI/CD, Azure Functions, Terraform, and Kubernetes. Prior experience in scaling AI/ML solutions is key.
🔹 Data Engineers (AI-Focused)
Design and build robust data pipelines using Azure Data Factory, Synapse, Databricks, PySpark, and SQL to support analytics and AI workloads.
What We’re Looking For:
• Strong hands-on experience with Azure data and ML tools
• Ability to work in a fast-paced, delivery-focused environment
• Passion for innovation and driving data capability within a large enterprise
If you're looking for your next long-term move with real impact, this is it. Apply now or get in touch to learn more. For a confidential discussion please contact Nic Gulliver at [email protected]
We’re currently recruiting across the following areas:
🔹 Machine Learning Engineers & Data Scientists
Hands-on experience with Azure ML, Databricks, SageMaker, PySpark, TensorFlow, and Scikit-learn. Strong understanding of ML model development and deployment is essential.
🔹 NLP & LLM Engineers
Focus on large language model (LLM) development, fine-tuning, and prompt engineering using tools like Azure OpenAI and HuggingFace. Experience with GenAI, RAG, and text analytics is highly regarded.
🔹 MLOps Engineers
Support the full ML lifecycle with MLFlow, CI/CD, Azure Functions, Terraform, and Kubernetes. Prior experience in scaling AI/ML solutions is key.
🔹 Data Engineers (AI-Focused)
Design and build robust data pipelines using Azure Data Factory, Synapse, Databricks, PySpark, and SQL to support analytics and AI workloads.
What We’re Looking For:
• Strong hands-on experience with Azure data and ML tools
• Ability to work in a fast-paced, delivery-focused environment
• Passion for innovation and driving data capability within a large enterprise
If you're looking for your next long-term move with real impact, this is it. Apply now or get in touch to learn more. For a confidential discussion please contact Nic Gulliver at [email protected]
Key Skills
Ranked by relevance
ai
machine learning
kubernetes
tensorflow
terraform
mlflow
cicd
sql
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- Posted
- Jun 06, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Sydney
- Company
- Peoplebank
Industries
IT Services
IT Consulting
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Network Engineer
2026-05-27
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Not Applicable
Australia
IT Services
Information Technology
View Job Details
Related
Security Consultant - Data Security
2026-05-27
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Information Technology
View Job Details
Related
IP Network Engineer
2026-05-20
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Information Technology