Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services.
Requirements
- machine learning
- algorithms
- systems
- data science
- decision support
- anomaly detection
- forecasting
- recommendations
- natural language processing (NLP)
- Natural Language Understanding (NLU)
- Time Series
- Automatic Speech Recognition (ASR)
- Machine Learning (ML)
- Computer Vision (CV)
- deep learning
Responsibilities
- Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems.
- Build prototypes and explore conceptually new solutions.
- Applies data science capabilities and research findings to create and implement solutions to scale.
- Develops models, prototypes, and experiments that pave the way for innovative products and services.
- Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV).
- Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
- Provides scientific and technical leadership and guidance to implement research direction to production.
Other
- Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.
- Conversant on ethical problems in consideration of sciences.
- Works on issues that impact design/selling success or address future concepts, products or technologies.
- Focus on review, design, technical vision, and science practices for the entire organization.
- Influence spans across multiple lines of businesses.
- Work with engineering, product management and senior management to set direction for Oracle's AI efforts.
- Partner with engineering and product management leaders to deliver new services and features that leverage machine learning and deep learning.
- Defines the bar for engineering practices and ops practices, and helps teams achieve those goals.
- Hires and mentors across the org.
- Perform an active role in team planning, review and retrospective events.
- Identifies and mitigates risks across our full set of systems, particularly at the intersection of business and engineering.
- Collaborates with Oracle’s technical partners on long-term strategy.
- Exercises wide latitude in determining objectives and approaches to critical assignments.
- May perform other duties as assigned.
- Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
- Range and benefit information provided in this posting are specific to the stated locations only
