Oracle Oracle Cloud Infrastructure - Senior Cognitive-Decision Data Scientist (JoinOCI) in Pleasanton, California
Oracle Cloud Infrastructure - Senior Cognitive-Decision Data Scientist (JoinOCI)
Oracle CloudInfrastructure (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 CloudServices 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
KeyPoints: 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 – Decision
Support, NLP, Computer Vision, for Public Clouds and Enterprise in NLU, NLP,
Vision and Conversational AI.
You’reOpportunity: 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 Decision
Support (Anomaly Detection, Fraud detection, Content Moderation, Risk
prevention, predictive analytics), computer vision, natural language processing
(NLP) and, speech 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 You’ll Do
Provide machine learning methodologyleadership.
Work on Decision support areas such asAnomaly Detection, Fraud Detection, Recommendation Systems, Personalizer,Content Moderation and Forecasting Analytics.
Deep knowledge and work experience in mathematical andStatistical models like State Estimation techniques, statistical riskanalysis using Monte Carlo Simulation, stochastic optimization andtime-series forecasting.
Build a core model of cognitive serviceusing various open source and machine learning principles and techniques (DeepLearning, ImageNet models, CNN, RNN, Transformer, Seq2Seq).
Brainstorm and Design various POCs usingML/DL/NLP solutions for new or existing enterprise problems.
Work with fellow data scientists/SWengineers to build out other parts of the infrastructure, effectivelycommunicating your needs and understanding theirs and address external andinternal shareholder's product challenges.
Building core of Artificial Intelligenceand AI Service as Decision Support, Vision, Speech, Text, NLP, NLU, andothers.
Leverage Cloud technology – Oracle Cloud(OCI), AWS, GCP, Azure, Heroku or similar technology.
Build models with Python and machinelearning libraries (Pytorch, Tensorflow), Big Data, Hadoop, HBase, Spark,etc
Capable of quickly becoming familiar withnew approaches to Machine Learning.
You have been exploring or working onsome of the latest advancements in the deep learning space likeTensorFlow.
Ph.D. degree (preferred) or Master’sdegree in computer science, Statistics or Mathematics, artificialintelligence, machine learning, speech recognition, natural languageprocessing, operations research, or related technical field.
4 for PhD or 6 years for Master ofExperience designing and implementing machine learning models inproduction environments.
Working knowledge of current techniquesand approaches in machine learning and statistical or mathematical models likeState Estimation techniques, statistical risk analysis using Monte CarloSimulation, stochastic optimization and time-series forecasting forAnomaly detection, Fraud detection, Risk analysis etc.
Knowledge in algorithms like SequentialProbability ratio test, One class SVM, Fourier Transformation, HoltsWinters, Seasonal Hybrid ESD, Seasonal decomposition/STL.
Experience using ML and DL languagesusing Python and Java, to manipulate data and draw insights.
Practical experience and deep knowledgein algorithms for Anomaly detection, NLP, NLU, sentiment analysis, Text toSpeech, Vision, recommender systems, reinforcement learning, and another AIservice.
Practical experience in featureengineering and evaluation, automation of such tasks, model interpretation&visualization.
Experience or willingness to learn andwork in Agile and iterative development and DevOps processes.
Strong drive to learn and master newtechnologies and techniques.
Deep understanding of data structures,algorithms, and excellent problem-solving skills.
You enjoy a fast-paced work environment.
Deep experience in Statistics, Mathematical models,Multivariate and Univariate Anomaly detection algorithms are all a hugeplus
Experience with Cloud Native Frameworkstools and products is a plus
Have an Impressive portfolio on KaggleProfile is a plus.
Hands-on experience with horizontallyscalable data stores such as Hadoop and other NoSQL technologies
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?
Oracle is anAffirmative Action-Equal Employment Opportunity Employer. All qualifiedapplicants will receive consideration for employment without regard to race,color, religion, sex, national origin, sexual orientation, gender identity,disability, protected veterans status, age, or any other characteristicprotected by law.
Detailed Description and Job Requirements
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 years relevant work experience. BS/BA preferred.
Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.
Job: Business Operations
Other Locations: US-CA,California-Pleasanton, US-CA,California-Santa Clara, US-CA,California-Redwood City, US-Texas, US-CA,California-San Jose
Job Type: Regular Employee Hire
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