Machine Learning/AI Engineer

Our Corporate Risk Office of Charoen Pokphand Group Co., Ltd. plays an integral part in helping the group companies within Charoen Pokphand Group to achieve the entities’ objectives and to manage performance, optimize risk exposure in financial, operation, and minimize non-compliance and business mishap. We work shoulder-to-shoulder with the group companies to solve real world complex business problems and to fundamentally improve and grow the business in the sustainable manner. We’re looking for an outside-the box thinker with extensive experience in end-to-end NLP, Anomaly detection and Machine learning modelling and bringing it into real business use

Responsibilitie

• sThe specific responsibilities of the role of Manager in Machine Learning include
• :Leverage cutting-edge Natural Language Processing (NLP), Anomaly Detection, Machine Learning (ML), and Artificial Intelligence (AI) technologies to optimize and streamline business processes and decision-making
• .Build, test and release services incorporating Anomaly Detection, NLP ML and AI model
• sStay up to date on the latest developments in the fast-moving NLP and ML space by reading papers and documentation for toolkits such as Tensorflow, Keras, AWS and other
• sWrite programs to cleanse and integrate data in an efficient and reusable manne
• rCommunicate with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solution
• sEvaluate modelling results and communicate the results to technical and non-technical audience

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Qualifications and Skil

• lsDegree in Computer Science, Information Systems, Statistics, Engineer, or another quantitative fie
• ld3+ years of practical experience in developing NLP and machine learning mode
• ls3+ years coding in Python, R, JAVA or other programming languag
• esExcellent problem-solving skil
• lsExperience with natural language processing (NLP) problems such as language modeling, language identification, sentiment analysis, named entity recognition, lemmatization, and summarizati
• onExperience with Anomaly Detection problems such as fraud detection, network intrusion detection, Manufacturing quality control, Website performance monitoring, Credit card transaction monitoring, System resource monitoring and system health monitorin
• g.Experience with API test automations is a pl
• usBasic understanding of Cloud (AWS, Azure, etc.) is a pl
• usExperience with SQL or NoSQL databases is a pl
• usWith a can-do attitude and be an active advocate for Quality and the Custom
• erExperience with Big Data Ecosystem is a pl