Applied Scientist 4 @ Morgan Stanley

Job Description

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customer/domain by leveraging existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps Computer Vision, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. Youre Opportunity. As we blaze the trail to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building a AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building cloud services in Computer Vision (Image / Video Analysis), Document Understanding, Natural Language Processing (NLP), Speech, and Decision Support that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What Youll Do Design and implement advanced computer vision algorithms and models leveraging deep learning, convolutional neural networks (CNNs), Transformers, and other relevant techniques. Conduct research to identify new state-of-the-art deep learning-based computer vision approaches, algorithms, and methodologies. Collaborate cross-functionally with product managers, software engineers, and other stakeholders to understand business needs and devise solutions that align with strategic objectives. Collaborate with data engineers and teams to gather and curate high-quality datasets for training and validation purposes. Lead a team of researchers and engineers, providing mentorship, guidance, and technical expertise to foster a collaborative and innovative work environment. Contribute to patent submissions and publish research findings in tier-1 conferences and journals to establish the organization's thought leadership in AI. Qualifications Ph.D. degree (preferred) or Masters degree in computer science, artificial intelligence, machine learning, operations research, or related technical field. 5+ for Ph.D. or 8+ years for a Master of Experience designing and implementing machine learning models in production environments. In-depth understanding of the current state of the art on various computer vision tasks like image classification, object detection and segmentation, object tracking, image captioning, visual question and answering, video summarization, etc. Working experience with algorithms/models for CNN/Transformer based architecture for image classification like EfficientNet, VIT, object detection like Yolo, DETR, text detection using differential binarization, text recognition using Sequence networks, etc. Experience with Foundation Models for Vision tasks like Segment Anything, Stable Diffusion, DINO, CLIP, etc. Practical experience and deep knowledge in algorithms for the usage of Semi/Self-supervised learning for different computer vision tasks. Proven experience in designing and implementing deep learning models for computer vision applications, using frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, C++, or Java, and experience with relevant libraries and tools. Deep understanding of data structures, algorithms, and excellent problem-solving skills. Strong drive to learn and master new technologies and techniques You enjoy a fast-paced work environment. Additional Details Publication in tier-1 conferences related to machine learning and computer vision like NeurIPS, CVPR, ECCV, etc. is a plus. Experience with Cloud Native Frameworks tools and products is a plus Having an impressive portfolio on Kaggle Profile is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big

Employement Category:

Employement Type: Full time
Industry: Software Product
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Applied Scientist 4

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Keyskills:   computer vision deep learning Transformers machine learning object detection segmentation object tracking algorithms Python C Java data structures convolutional neural networks image classification image captioning visual question answering video summarization TensorFlow PyTorch problemsolving