Snr Manager Applied Science (OCI/GenAI) Oracle

About Oracle

Job Description

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 are currently seeking an experienced Sr. Manager, Applied Science (M3) with a profound expertise in Generative AI and Computer Vision to lead a high-impact applied science team within OCI. In this role, you will be responsible for driving the development of secure, scalable, and innovative AI solutions by 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 Masters 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 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 experience in managing and mentoring high-performing applied science teams. - 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.,