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Machine Learning Engineer

2 weeks ago

Singapore ST ENGINEERING IHQ PTE. LTD. Full time

The Smart Enterprise Platform Strategic Engineering Centre (SEP SEC) is one of five SECs within the Group Engineering Centre (GEC) in ST Engineering. Its mission is to deepen Data Analytics (DA) capabilities, proliferate DA usage group-wide, and to develop common/reusable DA products and tools for both internal and external use by all lines of businesses. The Advisory team in SEP SEC provides analytics consulting services to our internal customers and also assists them in projects with external customers. We are looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products and production ready machine learning models. To do this job successfully, you need exceptional skills in statistics, programming, and knowledge of data science and enterprise software engineering.

Job Requirements: - Proven experience as a Machine Learning Engineer or similar role - A Bachelors or Masters Degree in Computer Science, Mathematics, or similar field - 3 to 5 years of working experience in data analytics is preferred for senior role - Understanding of data structures, data modelling and software architecture - Deep knowledge of math, probability, statistics and algorithms - Ability to write robust code in Python, Java, R, or Scala - Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) - Good understanding of end-to-end analytics process - ideation/value elicitation, requirements definition, data profiling, analytical modelling, testing, validation, visualization, and deployment - Strong problem solving skills, curiosity, and passion for data science - Excellent coordination and time management skills to handle complex projects - Willing and enthusiastic about continuous learning of new technologies and data science techniques/breakthroughs - Effective oral and written communication with strong analytical, problem solving, multitasking and project management skills