Coherent (HK) - Machine Learning Engineer

PwC, the largest professional firm in China HK and part of a global network of firms in 157 countries capability around key technological areas such as. Digital branding and customer experience Analytics and machine learning Distributed Ledger Technologies Cloud computing and robotics

We handle 15 million transactions a day with transaction value of HK 260 million. related industries with at least 5 years in data science. cloud platform. Solid experience of key machine learning and deep learning framework, e.g. Solid experience in key machine learning and big data cloud platform, e.g. and quoting the reference number by clicking "Apply Now" Visit our web site. http. www.octopus.com.hk

Who we're looking forWe are looking for a Machine Learning Engineer who wants to be part of a growing process of designing AI. ML algorithms.Model performance monitoring.Build modelling pipelines for machine learning, statistical methods, and other analytics techniques.Define and implement operating standards design meetings.Who you areWorking with data in R or Python.Familiarity with supervised. unsupervised learning

Responsibilities. Provide end user technical support across front and back office functions in HK and or send your resume in Word format to. Hanson Tsien at resume pinpointasia.com and put IT Support Engineer roles. 1) Blockchain Developer (R3 Corda) in Global Financial Blockchain Tech Firm 2) Site Reliability Engineer Prominent Global Financial Market Making Firm (HK) 3) Site Reliability Engineer. Prominent Global

fundamentals, and events. Applied patterns and algorithms through rigorous linear, nonlinear, and machine learning Statistics, Physics, Mathematics, Engineering, and Computer Science 3 5 years of experience in trading machine learning quants data analysis Strong in Python. Ability to excel at both open ended research explorations time sensitive concrete projects Preferred to have experience in Mid High Frequency, Data Mining, and Machine Learning experience Participants in competitions such as WorldQuant or Kaggle is a plus Highlight. Competitive

The intern' role is to work towards the deployment of machine learning models and improving the AI functions The role demands an inclination towards rapid learning and adaptability. Roles and Responsibilities. To work with the AIAHK Data Science and AI Product team to deploy Machine synthetic data using VAE based solution, (d) Conduct automated testing using LLM, etc. among other machine learning related side project is preferred Knowledge or passionate in insurance industry, AI & Machine

Who we're looking forWe are looking to hire a Software Engineer to join our growing team in Hong Kong What you will be doingEngage with machine learning and AI development Manage and facilitate the software regularly sponsor upskilling and incentivize continuous professional development incorporation with HKSTP & HK

Who we're looking forWe are looking for high caliber individuals for the role of Machine Learning Software Engineer in our Hong Kong office.What you will be doingBuild end to end machine learning platforms to practices across software team regarding implementation and system designEffectively communicate technical machine learning results in a business contextWho you areStrong familiar with deep learning and its applications

Who we're looking forWe are currently looking for a Data Engineer to support the development and maintenance learning deep learning technologies to deliver personalized content to our end users.What you will be doing Create and manage microservices that support our data services and machine learning pipelinesContent personalization in our app based upon machine learning deep learning modelsAnalysis of investment and learning deep learning libraries is highly preferredExperience deploying data pipelines and machine

Further information about Lingnan University is available at https. www.ln.edu.hk. Programme Department of Psychology (Post Ref. 24 68 ) The Department of Psychology ( http. www.LN.edu.hk University, the Department is also strongly committed to providing high quality teaching and a supportive learning