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Hybrid internship at Australia’s largest bank working on AI-driven digital products in data engineering, software engineering, or cybersecurity.
Design and deploy LLM-driven agentic AI systems for enterprises, focusing on multi-step reasoning and safe scaling while mentoring teams.
Lead a team to design, build, and deploy AI/ML models and data pipelines that support clinical and operational decisions in a healthcare setting using Python/R and visualization tools.
Build and deploy ML models to improve fintech products, turning data insights into decisions with Python, R, and cloud tools.
Lead the design and implementation of machine learning models and analytics to shape workforce development strategies using Python, TensorFlow, and SQL.
Lead the design and implementation of data science solutions to address complex university challenges, using Python, R, and ML frameworks.
Lead AI/ML projects for government, building LLMs and analytics systems while ensuring ethical, explainable outcomes in Python/SQL/MLOps.
Build and improve AI models for proactive human-AI collaboration using machine learning, data mining, and statistical analysis in a cutting-edge product team.
Lead the design and deployment of LLM-driven agentic AI systems that autonomously plan, decide, and act at enterprise scale.
Lead the design and deployment of agentic AI systems, including LLM-driven agents with planning, tool-use, and multi-step reasoning for enterprise workflows.
Lead a team to design and deploy AI/ML models, including generative AI and computer vision, using Azure AI services and Python, while establishing MLOps pipelines for enterprise-scale solutions.
Build AI-powered banking features and secure systems for Australia’s largest bank, working with ML/AI, software, and cybersecurity teams on real customer products.
Builds and deploys ML models to turn subsurface data into actionable insights using Python, cloud platforms, and frameworks like TensorFlow/PyTorch.
Lead the design, build, and deployment of ML/LLM systems for enterprise clients, mentor junior data scientists, and drive responsible AI practices in a fast-paced product environment.
Build and optimize ML models for proactive intelligence using Python, TensorFlow, PyTorch, and scikit-learn, collaborating with engineers to deploy models at scale.
Design, build, and deploy advanced ML/LLM solutions for enterprise problems, mentor junior scientists, and shape responsible AI strategy in a product-focused team.
Lead the design, build, and deployment of LLM-driven machine learning systems for enterprise clients while shaping AI strategy and mentoring junior data scientists.
Builds enterprise knowledge graphs and AI solutions using Neo4j or Amazon Neptune to model complex data relationships, metadata, and lineage for analytics and generative AI.
Lead a team to design and deploy AI and data-science solutions that improve healthcare services, using Python, ML frameworks, and cloud platforms.
Lead the design and deployment of agentic AI systems and multi-step reasoning models for enterprise use cases, mentoring engineers and shaping AI governance.
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