Senior Applied Scientist

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. 

We're looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies.

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.

is 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

Ph.D. (preferred) or Master's in Computer Science, Machine Learning, Computer Vision, or related field.

• PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments

Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification.

Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models.

• 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 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.