ORGANIZATION:

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.
Job Title: Senior Data Scientist
Location: Bangalore
Business & Team: Analytics BB

ESSENTIAL SKILLS:

• 10+ years of experience
• Advanced knowledge of multi-agent design principles, agent-based simulations, and reinforcement learning for multi-agent systems.
• Expertise in transformers, GANs, VAEs, and Diffusion Models.
• Experience with tools like Ray, DeepSpeed, and cloud-based deployment pipelines.
• Strong grasp of optimization techniques like quantization, pruning, and knowledge distillation
  Education Qualifications: Bachelor’s degree in Engineering ( Computer Science/Information Technology)
  If you’re already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you’ll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
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  Advertising End Date: 20/05/202

• Advanced Model Development: Lead the design and implementation of advanced Generative AI solutions, including LLMs, GANs, VAEs, Diffusion Models, and multi-modal systems.
• Optimize models for deployment in multi-agent settings, ensuring agent-level scalability and robustness.
• Multi-Agent System Design: Architect and deploy multi-agent systems, enabling AI agents to collaborate, share knowledge, and solve tasks dynamically.
• Develop frameworks for agents to interact effectively using generative AI for reasoning, task execution, and learning.
• Production Deployment: Manage and oversee the deployment of at least one Generative AI model or multi-agent system in production, ensuring operational excellence and high availability.
• Strategic Leadership: Collaborate with stakeholders to identify opportunities for Generative AI and multi-agent systems, define use cases, and create actionable strategies for implementation.
• Drive thought leadership in multi-agent architectures and Generative AI innovation.
• Mentorship: Mentor junior team members in building and deploying Generative AI models and multi-agent systems.
• Research and Development: Drive internal research initiatives and contribute to the AI community through papers, patents, or open-source projects in Generative AI and multi-agent systems.