The healthcare industry continues to face profound change that’s driven by the COVID-19 pandemic, as well as evolving regulations, expectations and capabilities. Hospitals and health systems are working to improve patient care while reducing the burden on healthcare providers. Payers and governments are working to improve outcomes by obtaining a more complete view of each person they serve. Life sciences companies are working to quickly bring safe and effective medicines to market. All of these groups are trying to manage costs. Healthcare technologies – such as security solutions, cloud, healthcare data analytics, artificial intelligence (AI) and blockchain – are helping organizations address these challenges today and prepare them to meet the demands of tomorrow.

 

Healthcare Global Business Unit (HCGBU) is a new business unit created from scratch at Oracle. HCGBU is not started from acquisitions in a traditional way, but instead, we aim to use the “startup” approach to build a clean and scalable platform and products that are at the intersection of cloud, AI and Machine Learning.

 

Are you looking forward to being a part of an energetic and fast growing startup environment within a highly reputable and stable Oracle organization? If so, we would love to talk to you!

 

What do we offer?

At every level, our engineers have a significant technical and business impact designing and building innovative new capabilities to power our Healthcare focused cloud applications and platforms. 

We provide unique opportunities to hands-on ML Ops engineers to not only own and operate a world-class machine learning platform but also to envision and define new health care ML pipelines that would enable state of the art Data Science based experiences for customers worldwide.

Responsibilities:

• Automate machine learning pipelines, enable scalable development of resilient machine learning systems and operate machine learning systems & models in production.
• Set up and operate MLOps infrastructure, applying MLOps principles
• Define and implement data validation strategies
• Operate ML projects and monitor complex machine learning models in production
• Retrain machine learning models based on performance, insights and feedback from production
• Ensure quality of deployed machine learning models and scalability of ML model development
• Collaborate with data scientists on developing and evaluating machine learning models using large datasets

 

Minimum qualifications:

A strong candidate will have

• Experience with Machine Learning development process, deploying and operating ML models in production
• Experience with applying MLOps principles incl. Continuous Integration (CI), Continuous Delivery (CD), Continuous Training (CT) and Continuous Monitoring (CM) to scale machine learning development
• Experience with MLOps services and tools (e.g. Kubeflow, MLFlow, Sagemaker Pipelines, Vertex Pipelines, etc.)
• Experience with containerization and management (K8s, Docker)
• Experience with cloud infrastructure - OCI, AWS, Azure or Google Cloud
• Bachelor’s in computer science, Data Science or related field

 

Preferred qualifications:

• MS in Artificial Intelligence, Machine Learning or Data Science
• Experience in Auto ML systems and packages
• Experience with Oracle Cloud Infrastructure (OCI)

 

 OTA-LAD-MX-HLTH-MLE

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.

As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products.

Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.

Oracle is an Affirmative Action-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, protected veterans status, age, or any other characteristic protected by law.