Interested to build the next generation Financial systems that can handle billions of dollars in transactions? Interested to build highly scalable next generation systems that could utilize Amazon Cloud?
Massive data volume + complex business rules in a highly distributed and service oriented architecture = a world class information collection and delivery challenge. Our challenge is to deliver the software systems which accurately capture, process, and report on the huge volume of financial transactions that are generated each day as millions of customers make purchases, as thousands of Vendors and Partners are paid, as inventory moves in and out of warehouses, as commissions are calculated, and as taxes are collected in hundreds of jurisdictions worldwide.
Key job responsibilities
- Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.
- Use Python, Jupyter notebook, and Pytorch to - Use machine learning and analytical techniques to create scalable solutions for business problems.
- Research and implement novel machine learning and statistical approaches.
- Mentor interns.
- Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
BASIC QUALIFICATIONS
2+ years of building models for business application experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languageExperience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingExperience with popular deep learning frameworks such as MxNet and Tensor FlowPREFERRED QUALIFICATIONS
Experience building machine learning models or developing algorithms for business applicationExperience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithmsPhD in computer science, machine learning, engineering, or related fieldsOur inclusive culture empowers Amazonians to deliver the best results for our customers.