Are you a brilliant programmer with a hunger to learn machine learning and AI techniques? We, Xion.AI, are a fast-growing startup founded by big data platform programmers out of the US who are expanding into Singapore.
We are looking for that awesome person who thrives in a startup environment and can take on work as we race to build an NLP platform for use by one of the largest Wall St firms. You will also be cutting teeth on many other projects spanning legal, real estate, defense and other industries. Not to mention that we are fun to hang out with!
About Xion.AI:
Xion is the AI arm of GuardX, a startup founded in 2014 out of New York. We came out of Northrop Grumman’s incubator. Our big data and machine learning platforms are deployed across multiple industries spanning Banking, Financial services, FMCG, Oil & Gas and Online Gaming.
Why apply?
- Join an elite team of Machine Learning and AI entrepreneurs that are dedicated to building something truly unique
- Ultra-low staff turnover, and career-defining roles with international career development programs
- Great working environment & Supportive Culture
- Very attractive salaries, above market benefits + bonuses
Required education
Academically, must hold a degree in Computer Science, Engineering, Physics, or related discipline from top universities such as; Singapore: NUS, NTU, SUTD or India: IITs, BITS, IIITs, top-tier NITs or international equivalent.
Required experience
1-4 years of Solid Python experience, some Java desirable. Quick study, sharp, able to commit code day 1 to exciting NLP /Machine Learning projects.
Required skills
Python: Pandaframes, Numpy, Scipy, Sk-learn, strong programming fundamentals. Familiarity with pytorch, Keras, Tensorflow CNN /RNN models highly desirable.
Additional: Familiarity with AWS deployment, Agile, Scrums, TDD, Kanban desirable. One of Docker, Kubernetics, Marathon on Mesos desirable.
For a complete job description or a confidential discussion, please feel free to contact Jasmine directly via email jasmine@xion.ai or "Apply Now"