AI/ML Engineer

Position Description

AI Engineer

About AI Engineer

Role Scope Summary

Engineers in the Data Science, AI & Emerging Technologies team are focused on developing next-generation AI-driven technologies and products for Pepperstone. Our AI engineers are responsible for transforming the Data Science & AI models from conceptualization and development stages into products and services in Pepperstone platforms for clients as well as internal users. An AI engineer will be the key enabler who creates the platform on which Data Scientists train and deploy models in the most effective and scalable way. They will collaborate with other Data and Engineering teams to establish the right data infrastructure, CI/CD pipelines and testing capability for Data Science & AI production. They will engage with teams and stakeholders across the whole business to deliver the best trading experiences to our clients through innovation.

Job Type

Permanent, Full-time

Skills, Experience & Qualifications

Required

• 4+ years building and deploying applications using AWS cloud technologies as an AI/ML engineer or in at least one of the following areas: Data engineering, Cloud engineering, backend or full-stack engineering, MLOps.
• Data Science, AI/ML pipelines on Amazon Sagemaker, Bedrock or other cloud environments
• Proficient in Python used for developing Data Science, AI/ML models.
• Good in GenAI.
• Good in building ML models and able to differentiate with help with metrics.
• Good to have AWS Sage Makers with MIOps to build and deploy model.
• Good understanding of container to host model on cloud (good to have AWS and services knowledge including database).
• Exp in data engineering and retraining existing model.
• Familiarity with different microservice deployment methodologies, including A/B testing, blue-green and canary deployments.
• A commitment to ongoing learning & development.