Machine Learning and AI Engineer

NORGES BANK Singapore Branch; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A financial institution in Singapore is seeking a Machine Learning and AI Specialist with a strong background in machine learning, AI, and cloud technologies, particularly AWS. Ideal candidates should have at least 5 years of experience and proficiency in tools like MLFlow and Feature Store. This role involves designing, developing, and maintaining machine learning models as well as collaborating across teams. Interested applicants should submit their resume and project descriptions.

Qualifications

• Minimum of 5 years of experience in machine learning and AI, with a proven track record of successful projects.
• Strong knowledge of Python.
• Proficiency in AWS services.
• Experience with Feature Store (FEAST) and MLFlow for model management and deployment.
• Solid understanding of SQL and experience working with relational databases.

Responsibilities

• Design, develop, and maintain machine learning and AI models and algorithms.
• Implement end-to-end machine learning pipelines using AWS tools.
• Monitor and evaluate model performance and optimize as necessary.
• Collaborate with cross-functional teams for machine learning solutions.
• Work with large datasets, perform data cleaning and feature engineering.
• Leverage Azure OpenAI and ChatGPT for NLP and conversational AI solutions.

Skills

Machine Learning

Artificial Intelligence (AI)

AWS

Python

SQL

Feature Store (FEAST)

MLFlow

Azure OpenAI

ChatGPT

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field

Tools

AWS Batch

AWS Lambda

AWS Fargate

AWS Airflow

Job description

We are seeking a highly skilled and experienced Machine Learning and AI Specialist. The ideal candidate will have a strong background in machine learning, AI, and cloud technologies, particularly AWS. The candidate should also be proficient in using AWS Batch, Feature Store (FEAST), MLFlow, SQL, AWS Airflow, AWS Lambda, AWS Fargate, ChatGPT, and Azure OpenAI. In other words, we are looking for a person with practical experience.

What you will do

• Design, develop, and maintain machine learning and AI models and algorithms for various applications.
• Implement end-to-end machine learning pipelines using tools such as Batch, FEAST, MLFlow, Lambda, AWS Airflow and Fargate, using our internal platform.
• Monitor and evaluate model performance, optimize and fine-tune as necessary.
• Collaborate with cross-functional teams to define and implement machine learning solutions.
• Work with large datasets, perform data cleaning, pre-processing, and feature engineering.
• Leverage Azure OpenAI and ChatGPT to develop NLP and conversational AI solutions.

What you need

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum of 5 years of experience in machine learning and AI, with a proven track record of successful projects.
• Strong knowledge of Python.
• Proficiency in AWS services.
• Experience with Feature Store (FEAST) and MLFlow for model management and deployment.
• Solid understanding of SQL and experience working with relational databases.
• Familiarity with libraries and deep learning frameworks, is a plus.

Who you are

The right candidate has excellent analytical and problem-solving skills. Naturally you stay up to date on industry trends and new technologies. You are curious and have a learning mindset. Work wise you like both working independently, but also in a team with other experts, and lastly you enjoy running multiple projects across an organisation with offices spread across continents. To apply, please submit your resume, cover letter, and a brief description of a relevant machine learning or AI project you have completed.