Hybrid (flexible to work from any engineering hub within australia)
Generative ai and agentic systems experience
Machine learning model design and deployment
Prompt engineering and rag implementation
The Commonwealth Bank of Australia is seeking a Senior Data Scientist to join their Chief Operations Office, focusing on the development of AI solutions to enhance customer service. The role requires expertise in generative AI, machine learning, and collaboration with cross-functional teams to deliver innovative solutions
Job Summary
This role involves reimagining customer service experiences through the development of innovative Generative AI and Agentic solutions within the Chief Operations Office.
The successful candidate will collaborate with software engineers and experts to prototype, deploy, and monitor high-impact machine learning models in production environments.
Commonwealth Bank offers a flexible workplace culture driven by values that support diverse backgrounds and positive impacts for customers and communities.
Matching Summary
Match Score: 85
The Commonwealth Bank of Australia is seeking a Senior Data Scientist to join their Chief Operations Office, focusing on the development of AI solutions to enhance customer service. The role requires expertise in generative AI, machine learning, and collaboration with cross-functional teams to deliver innovative solutions.
Skills & Requirements
Must-have
Generative AI and Agentic systems experience
Machine learning model design and deployment
Prompt engineering and RAG implementation
LangChain and LangGraph tool proficiency
Python, Spark, TensorFlow, PyTorch skills
AWS or Azure cloud architecture knowledge
Docker containerization and CI/CD pipelines
Nice-to-have
Cross-functional collaboration with engineers
Applied experimentation mindset
Continuous applied learning approach
Natural language processing expertise
Unsupervised clustering and classification
ETL processes and data pipeline construction
Key Requirements
Experience deploying production-ready AI solutions
Expertise in feature engineering and hyperparameter tuning
Knowledge of guardrail design and evals frameworks