Applied Scientist 4

Key Skills

Agile methodologies, Algorithms, API, AWS, Azure, C++, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP)

Job Description

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Cloud AI Service for Generative AI, Natural Language Processing (NLP), Vision, Speech and Decision use cases.

What OCI AI Cloud Services are: A set of services on public cloud, that are powered by Large Language Model (LLM) and AI to meet the Enterprise modernisation needs, and that work out of the box. These services and models can be easily specialised for specific customer/domain by leveraging existing OCI services.

Key Points: We’re looking for a hands-on Sr. Principal Applied Scientist to join OCI Language team to develop LLM based NLP solutions for Medical and Healthcare industry. You will partner with Product Management, Data Labelling and Engineering teams to drive experimentation, predictive modeling, AI and machine learning architecture and optimization solutions. You will build best-in-class LLM solutions for medical domain at scale. The ideal candidate has extensive experience with large language modeling, natural language processing, deep learning algorithms, model serving, CPU/GPU optimization and a demonstrated ability to think strategically and analytically about business, product, and technical challenges to contribute to the development of current and future Language service roadmaps.

What You’ll Do

• Design, implement and test the critical module/features of language service that are correct, highly available, scalable, and cost-effective.
• Proactively identify the technical issues/bugs and provide innovative solutions.
• Subject matter expert in medical domain/machine learning/deep learning especially in large language models.
• Develop scalable auto-ML solutions that automate training and deployment of ML models.
• Brainstorm and Design various POCs using ML/DL/NLP/LLM solutions for new or existing enterprise problems.
• Own the quality of the product.
• Work with fellow data scientists/ML engineers to build ML models, effectively communicating your needs and understanding theirs and address external and internal customers use cases.
• Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Kubernetes, Docker, auto-scaling, etc
• Raise the bar of engineering productivity, operations.
• Leverage Oracle Cloud technology.

Qualifications

• D Or Master’s Or Bachelor's degree in computer science, Statistics or Mathematics, artificial intelligence, machine learning, speech recognition, natural language processing or related technical field.
• 5+ year for PhD, 7+ year for Masters or 10+ years of Experience designing, implementing and deploying machine learning models in production environments.
• Expert in Healthcare AI.
• Expert in current techniques and approaches in machine learning and statistical or mathematical models
• Expert in at least one serving architecture tensorflow/triton/Fast API
• Expert in at least one high level language such as Python/Java/C++
• Practical experience in ML algorithm design, model training and production deployment using microservices architecture
• Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, Heroku, Kubernetes or similar technology.
• Experience or willingness to learn and work in Agile and iterative development processes.
• Strong drive to learn and master new technologies and techniques.
• Deep understanding of data structures, algorithms, and excellent problem-solving skills.
• You enjoy a fast-paced work environment.

Preferred Qualifications

• A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent).
• Experienced in using data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, demand modeling, etc.), as well as key assumptions and parameters impacting performance.
• Demonstrable track record of dealing well with ambiguity, prioritising needs, and delivering results for large, cross-functional projects with evolving requirements.

• Demonstrated ability to communicate complex technical problems into requirements, and to communicate results and insights clearly to audiences of widely ranging technical depth.
• Extensive knowledge and practical experience in several of the following areas: machine learning, statistical modeling, NLP, deep learning (statistical or algorithmic).
• Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.

Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fuelled by highly energetic, technology savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation AI services. Are you ready to do something big?

Responsibilities

What You’ll Do

• Design, implement and test the critical module/features of language service that are correct, highly available, scalable, and cost-effective.
• Proactively identify the technical issues/bugs and provide innovative solutions.
• Subject matter expert in medical domain/machine learning/deep learning especially in large language models.
• Develop scalable auto-ML solutions that automate training and deployment of ML models.
• Brainstorm and Design various POCs using ML/DL/NLP/LLM solutions for new or existing enterprise problems.
• Own the quality of the product.
• Work with fellow data scientists/ML engineers to build ML models, effectively communicating your needs and understanding theirs and address external and internal customers use cases.
• Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Kubernetes, Docker, auto-scaling, etc
• Raise the bar of engineering productivity, operations.
• Leverage Oracle Cloud technology.

Required Skills

Data Science

Python (Programming Language)

About Us

An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.