AI ML Deployment Engineer

Singapore

AI/ML Deployment Engineer

Key Responsibilities:

To provide operational support for the overall Agile AI/ML applications, which includes:

• 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
• Continuous monitoring of health of Agile products

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

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