The Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment.  OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges. 

We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure.  At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications

This role is available on the OCI AI Data organization. We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building platform for evaluation and benchmarking and revolutionalizing how the process of data generation works. We are working at the forefront of  Generative AI landscape wokring with teams across Oracle on multi-modal data generation asks and leading the framework and tooling for Responsible AI (RAI) across Oracle.

 
 

Qualifications

• PhD or Master’s in Computer Science, Mathematics, Statistics, Physics or a related field with a dissertation centered in Machine Learning Techniques • 5+ years w/Masters or 3+ years w/PhD of applying machine learning for solving real-world problems in industry • Proficiency in Python or R • Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production  • Experience applying statistical models and developing Machine Learning solutions (regression, classification, clustering) • Extensive experience with developing and serving large scale Deep learning models across different data domains. • Experience in optimization and scaling of ML solutions for real world business use cases. • Expertise in datamining and statistical concepts and experience with traditional ML libraries such as scikit-learn, statsmodels and pandas  • Past delivery of large-scale ML solutions for complex business problems • Prior experience working on distributed systems • Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise • Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders • Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)

 

Career Level - IC2