Job Summary:

• Applying machine learning techniques to Identify new business opportunities and process Improvement using computer vision. Machine learning projects may come from both requirements from Internal customers and initiatives from the data science team Itself a candidate may be required to work in the field occasionally if a protect is related to a process at operational level.

Responsibilities:

• Identify opportunities for new business/new customers/ improvement across SCGP using machine learning/ computer vision.
• Create a course of recommended actions based on knowledge obtain form machine learning/ computer vision.
• Follow up and refine the model by collaborating with related parties unta achieving the target result.

Qualifications:

• Bachelor/Master/Doctorate degree in Computer Engineering, Computer Science, Statistics, Applied Science or related fields (Bachelor G.P.A. > 2.70, Master G.P.A. > 3.30).
• Proficient in English (TOEIC score at least 550).
• Using Python, SQL to process data to draw insights from datasets (PySpark to process big data is a plus)
• Experience in one of the Deep Learning languages: Tensorflow, Pytorch, Mxnet
• Experience in computer vision and image processing is a must
• Experience in edge computing architecture relevant to computer vision
• Experience using MLOps tools such as Kuberlow, MLFlow, or Sagemaker is a plus
• Experience working in manufacturing and full-stack data science deployment
• Experience in solving manufacturing problems related operations, quality and supply chain using Machine & Deep Learning is a plus
• Knowledge of statistical techniques and concepts such as regression, time series analysis, statistical, distribution, statistical tests.
• Knowledge and experience in training and applying Machine & Deep Learning algorithms to solve complex problems
• Positive attitude, Growth Mindset, Eager to learn, and Service mind
• Able to work upcountry occasionally