Artificial Intelligence Engineer

Responsibilities

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

•Develop and maintain backend services for Data and ML

•Optimize and manage databases

•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 education in Computer Science or a related field, such as Software Engineering or Data

Engineering

•5 years of relevant work experience in developing backend services and working with relational

databases

•Experience working with cloud services, preferably AWS

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

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

•Experience with CI/CD, preferably Jenkins

•Experience with Docker

•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 machine learning cloud services like AWS Textract, Comprehend is preferred

•Experience with Dagster/Airflow is preferred

•Experience with Snowflake is preferred

•Experience with Azure OpenAI API is preferred