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Machine Learning Engineer

Date: 20-Nov-2022

Location: Singapore, SG

Company: ST Engineering Group

Job Description

  • Work with internal and external stakeholders including customers, partners and colleagues to solicit requirements, design, develop, test and maintain Machine Learning systems
  • Responsible for documentation of system specifications
  • Conduct technical exploration of new Machine Leaning tools, techniques and platforms
  • Assist to maintain Machine Learning/AI knowledge repository
  • Support pre-sales initiatives, proposal development and provide post-sales support for Machine Learning systems

 

Job Requirements

  • Degree, Master’s Degree or PhD in Computer Science/Engineering, Knowledge Engineering, Information Systems, Information Technology, Mathematics or equivalent with working experience in development of Machine Learning systems
  • Recognized professional or industrial certifications in relevant Machine Learning technologies or competencies
  • At least 1-3 years of professional experiences in design and development of Machine Learning systems
  • In-depth technical knowledge in at least two of the below areas:
    • Data Modelling
    • Data Mining
    • Statistical Analysis
    • Simulation
    • Operations Research
    • Data Visualisation
    • Predictive Analytics
  • Technical expertise in Python, R, SQL, Java, C/C++, MATLAB, Scala etc.
  • Knowledge of big data technologies e.g. Hadoop, Spark, Hive, HBase etc. will be an added advantage
  • Knowledge of cloud computing platforms e.g. AWS, Google Cloud Platform, Microsoft Azure will be an added advantage 
  • Experience in agile development methodologies
  • Knowledge of MLOps best practices in model development and deployment, CI/CD, version control etc.
  • Excellent written and verbal communications skills;
  • Highly organized, motivated, independent and resourceful team player
  • Strong analytical thinking, interpersonal and problem-solving skills
  • Able to work productively in an agile and fast-paced consulting environment