Machine Learning Engineer

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

• We are seeking ML Engineers to take machine learning models into production for our new mobile trading app. They will deploy, operate and monitor the models, and build the data pipelines those models depend on.
• What they will do
• Deploy models as reliable, low-latency services consumed by the mobile app backend
• Build and schedule feature pipelines, including daily refresh of customer-level scores
• Integrate an external market-news feed (e.g. Refinitiv/LSEG) and product analytics data (Amplitude, in-app video engagement) into our data warehouse
• Implement model monitoring, drift detection, alerting and retraining workflows
• Establish deployment patterns, CI/CD and testing standards for ML in our production environment
• Document everything needed for long-term ownership and deliver a handover plan

• Must have
• 4+ years in software or ML engineering, with models running in production
• Strong Python; model serving via REST/gRPC APIs, Docker and Kubernetes or equivalent
• AWS experience (e.g. S3, compu