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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AI ML Deployment Engineer