Skip to main content

Senior Applied Scientist

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
Oracle
North Ryde NSW | Melbourne VIC
Full Time

Apply for this job

Posted 7 months ago
This role is expired

These roles are hiring now

View all similar roles →

AI Developer

Amana Living
Perth, WA
  • Build AI/LLM applications, middleware & Power Platform solutions
  • Mid-level developer with AI/LLM experience
  • Python/C#/JS, RAG, REST APIs, FHIR/HL7, Power Platform
Posted 1d ago

AI Engineer

One51
Sydney, NSW
hybrid
  • Design, develop and deploy AI and Generative AI solutions for clients
  • 3+ years AI Engineering, ML Engineering or Data Science experience
  • Python, LLMs, RAG, Azure, Databricks, Snowflake, prompt engineering
Posted 1d ago

Junior Machine Learning Developer

Rising Sun Pictures
Adelaide, SA
  • Build ML tools for visual effects production
  • Junior level experience in ML solutions
  • Machine learning, Linux, Python, problem-solving, collaboration
Posted 1d ago

Engineering Lead, Autonomy Software

Shield AI
Australia
  • Lead autonomy software development for unmanned systems in complex environments
  • Significant experience in robotics, autonomy, or aerospace systems
  • Modern C++, team leadership, tactical autonomy design
Posted 4d ago
Job Description

Oracle Health AI (OHAI) is Oracle’s center of innovation for applying advanced artificial intelligence to the most critical challenges in healthcare and enterprise. Leveraging Oracle’s extensive cloud resources and rich healthcare data assets, our multidisciplinary team of scientists, engineers, and clinicians develops leading-edge AI solutions -- such as large language models and generative AI -- that drive smarter decisions, automate workflows, and improve outcomes at scale. At OHAI, we are dedicated to translating the latest breakthroughs in AI into practical, responsible, and impactful technology for clinicians, patients, and organizations worldwide. 

We are seeking a visionary Senior Applied Scientist to lead the design, development, and delivery of scalable, production-ready generative AI solutions in healthcare and enterprise domains. As a senior technical leader, you will collaborate cross-functionally with product, engineering, and clinical teams, leveraging the latest advances in Generative AI. 

 

Responsibilities:  

  • Project Delivery: Drive projects from concept to production, participating in planning, review, and retrospective meetings. 
  • Innovative Solution Design: Research, design, and implement cutting-edge generative AI models—leveraging techniques like LLM parameter-efficient fine-tuning, prompt engineering, and multi-modal modeling. 
  • Architecture & Best Practices: Architect robust AI frameworks, covering data pipelines, model training, evaluation, and deployment while ensuring code quality and engineering best practices. 
  • Production Code Development: Write and review production-level code, advocating for maintainability and robustness. 
  • Risk Management: Proactively identify risks and design mitigation strategies at the intersection of technical and business requirements. 
  • Research Excellence: Contribute to the academic and scientific community through publications, reviews, and by leveraging state-of-the-art research in practical applications. 

Qualifications and Experience:  

  • Demonstrated experience in applying LLMs and generative AI technologies to all possible steps in the devops with the goal of improving efficiency in product development.  
  • Practical experience with the latest technologies for developing LLMs, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques.   
  • Deep technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.  
  • Hands-on experience with different LLM frameworks and plugins, such as  LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.  
  • Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.  
  • Commitment to staying up to date with the field and applying academic advances to solve complex business problems and bringing them into production.  
  • Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.  

Preferred Qualifications:   

  • Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.  
  • Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.  

Education:  

  • PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 0-2 years relevant experience is preferred but not a must; OR  
  • Masters or Bachelor's in related field with 4+ years relevant experience