Job Description

Responsibilities

• Responsible for ensuring that ML models and pipelines are deployed successfully into

production

• Implementation of ML features for new and existing systems

• Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud

services

• Automate model training, testing and deployment using CI/CD

• Understand and implement metrics to verify effectiveness and soundness of the ML

model

Requirements

Minimum requirements

• Formal training in a quantitative discipline (e.g., statistics, operations research,

economics, computer science, mathematics)

• 5 years of relevant work experience in data analysis, data science or related fields,

with deep expertise in statistical data analysis

• Experience with Python and related ML libraries (eg. Pandas, Pytorch)

• Experience with database languages (e.g. SQL)

• Experience working in a multi-disciplinary team of data scientists, software

engineers, product managers and subject domain experts

• Experience in Agile working environment

Preferred requirements

• Experience with AWS cloud services like AWS Textract and Comprehend is

preferred

• Experience with Dagster/Airflow is preferred

• Experience in MLOps

• Experience in delivering Natural language processing (NLP) products