AI Engineer

Our AI engineers are responsible for transforming the AI models from conceptualisation and development stages into products and features in Pepperstone’s trading frontends.

• Provide the software engineering and best practices required around the production of an AI model application from start to finish
• Bring the team’s AI models to life by working with Engineering and Product teams to develop real-time customer-facing products which are empowered by the models
• Build integration between model serving endpoints with front-end web and mobile applications and other services that consume the model output
• Integration between the model training/inference jobs and databases, including real-time data streams
• Prove values of the AI team’s work to the business by being able to quickly build POCs and prototypes to demonstrate 
• Build scalable live A/B testing architecture and implementation around model deployment so that we can rapidly and continuously experiment new models.
• Collaborate with Data Scientists and other Engineering teams to build the AI platform capabilities that enables us to deliver the above through efficient model training, deployment and CI/CD pipelines
• Support what AI team build, implement robust testing, monitoring, logging and alert
• Work in a global and cross-functional team, play the role of a thought leader and an engineering expert to help shape the design and production of future Pepperstone products

• 2+ years building and deploying applications using one or more AWS cloud technologies
• AI/ML pipelines on AWS Sagemaker and other pipeline orchestration tools such as MLFlow, Apache Airflow, Kubeflow etc...
• Data Engineering and DevOps skills in automation (e.g. CI/CD tool such as Github action, BuildKite; infra as code such as Terraform, CloudFormation) and virtualisation (e.g. Docker, Kubernetes) related to model deployment and scaling 
• Engineering experience related to designing APIs & microservices, integration among AWS databases
• Familiarity with different microservice deployment methodologies, including A/B testing, bluegreen and canary deployments is a plus
• Proficient in Python or other programming languages used for developing AI/ML models  
• A commitment to ongoing learning & development

Desirable: 

• Full-stack engineering experience with backend services and frontend web & apps on Cloud is a plus
• Experience building AI/ML-driven customer-facing products in a fast-moving B2C e-commerce or market place environment 
• Experience working with real-time data streams, Feature Store and/or Data Lake 
• Relevant knowledge in one or a few areas of AI, Machine Learning, algorithms, statistics, optimizations, hypothesis testing

We are HGS Offshore Staffing Solutions, a premier global partner in building offshore teams in the Philippines, with over 1,500 professionals across Metro Manila and Cebu.

Our goal is to ignite global potential by connecting exceptional talent with companies worldwide. We are committed to propelling your career forward by providing opportunities for growth, where your expertise can flourish in any field. Here, you'll have access to global industries, continuous training opportunities, and a culture where your voice always matters.

At HGS, we go beyond recruiting talented individuals, we cultivate a vibrant community. You'll be able to grow alongside your peers through professional development opportunities at your fingertips and connect with teammates during exciting company events. Our monthly huddles keep you connected with your team and colleagues. We also foster a dynamic community with our charity initiatives, reminding us that our careers can make a real difference. Whether you work remotely or side-by-side, you are always part of the team at HGS.