Applied Scientist 3

The Senior Applied Scientist role at Oracle Cloud Infrastructure (OCI) in Bangalore is ideal for an experienced individual with a deep hands-on experience in Generative AI and Computer Vision. As a member of the AI Science team, you will be responsible for developing highly complex and accurate data science models using cutting-edge techniques in computer vision, Large multimodal models, and other GenAI technologies. Your key responsibilities will include developing advanced AI models and algorithms focusing on large language model, large multimodal, computer vision, and foundation models. You will design, implement, and test critical modules/features of AI services that are correct, highly available, scalable, and cost-effective. Championing best practices for testing, benchmarking, and model validation to ensure reliability and performance will also be a key part of your role. You will analyze ML models, optimize them for accuracy and latency, and handle large-scale training & production deployment with ML models. Additionally, you will own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. Proactively identifying technical issues/bugs and providing innovative solutions will be crucial. Collaborating closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance, and acceptance of data/annotation will be essential. Leveraging Oracle Cloud technology, you will work on developing best-in-class computer vision solutions at scale for the Oracle business domain. The ideal candidate for this role will have a Ph.D. or Masters in Computer Science, Machine Learning, Computer Vision, or a related field. A Ph.D. in computer vision or at least 2 years of experience in designing, implementing, and deploying computer vision models in production environments is preferred. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification is required. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models is essential. Practical experience in ML algorithm design, model training, and production deployment using microservices architecture is a must. Experience working in a cloud environment like Oracle Cloud (OCI), AWS, GCP, or Azure is preferred. The successful candidate will have a strong drive to learn and master new technologies and techniques, along with a deep understanding of data structures, algorithms, and excellent problem-solving skills. You must enjoy working in a fast-paced environment and be willing to work in Agile and iterative development processes.,