Sr. Applied Scientist- OCI AI Science team

Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider

Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale.

provider.

As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large

multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC)

role will build best-in-class computer vision solutions at scale.

Perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner

with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You

will build best-in-class LLM / LMM / computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data

Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience

with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and

technical challenges to contribute to the development of current and future vision services

Key Responsibilities

• Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation
• models.
• Design, implement and test the critical module / features of AI service that are correct, highly available, scalable, and cost-effective.
• Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.
• Analysis of ML models, and optimizing models for accuracy and latency.
• Large-scale training & production deployment with ML models.
• Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model.
• Experience implementing machine learning algorithms or research papers from scratch to production.
• Work with large, complex data sets.
• Proactively identify the technical issues / bugs and provide innovative solutions.
• File patent and publication as by product of solving complex business problems
• Partner closely with product managers, engineering leads, and annotation / data teams to define requirements, data quality assurance and
• acceptance of data / annotation as required.
• Leverage Oracle Cloud technology.

Preferred Qualifications

Career Level - IC3