ML Engineer

Responsibilities

• Responsible for ensuring that GenAI/ML Models 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

• 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 on Generative AI apps
• 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 / AWS Bedrock is preferred