Snr Manager Applied Science (OCI / GenAI)

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

We’re looking for an experienced Sr. Manager, Applied Science (M3) with deep expertise in Generative AI and Computer Vision

to lead a high-impact applied science team within OCI. In this role, you will drive the development of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies.

Key Responsibilities

Applied Research & Development

Lead a team of applied scientists and data engineers to research, prototype, and productize computer vision and generative AI solutions for image

video data

Evaluate and integrate emerging technologies such as LLMs, LMMs, and diffusion models into production-grade services.

ML Solution Design

Translate business and functional requirements into robust machine learning requirements.

Architect, develop, train, and fine-tune ML models for performance, scalability, and real-time processing.

Cross-functional Collaboration

Partner closely with product managers, engineering leads, and annotation / data teams to align on priorities, define requirements, and deliver end-

to-end AI capabilities.

Foster a collaborative and innovative team culture that bridges science, product, and engineering needs.

Product Innovation

Drive the transformation of scientific advancements into marketable AI-driven services.

Ensure solutions are competitive, customer-focused, and aligned with OCI’s strategic vision.

Data Analytics & Insights

Leverage large-scale data to generate actionable insights and inform model development, evaluation, and continuous improvement.

Quality, Security & IP

Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.

Identify and lead efforts in intellectual property creation, including patents and publications.

Preferred Qualifications

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

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

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

Demonstrated ability to build and scale ML pipelines and AI services in production environments.

Proven managing and mentoring high-performing applied science teams. leadership Experience

Excellent communication skills, including the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders.

Strong business acumen

with the ability to align technical initiatives to broader business goals.

Comfortable operating in fast-paced, evolving environments with shifting priorities.