AI ML Deployment Engineer

Tech Aalto Pte ltd; Singapore; In loco; SGD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Tech Aalto Pte ltd in Singapore seeks an AI/ML Deployment Engineer to ensure production deployment of ML models and pipelines, implement ML features, and automate training and deployment using CI/CD. You will work with AWS cloud services, and monitor model effectiveness in a multi-disciplinary team.

The role emphasizes hands-on ML deployment, data analysis, and collaboration with software engineers, PMs, and domain experts in an Agile environment.

Competenze

• Formal training in a quantitative discipline (statistics, OR, economics, CS, 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 ML libraries (eg. Pandas, PyTorch).
• Experience with SQL.
• Experience in a multi-disciplinary team of data scientists, software engineers, PMs and domain experts.
• Experience in an Agile working environment.

Mansioni

• Deploy ML models and pipelines to production.
• Implement ML features for new and existing systems.
• Deploy applications to AWS cloud leveraging AWS services.
• Automate model training, testing and deployment using CI/CD.
• Understand and implement metrics to verify model effectiveness.
• Continuously monitor health of Agile products.

Conoscenze

Python

ML libraries

Pandas

Pytorch

SQL

Agile

Data analysis

Formazione

Quantitative discipline degree

Strumenti

AWS Textract

Airflow

Dagster

MLOps

NLP systems

Descrizione del lavoro

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