Senior Machine Learning Engineer

Senior Machine Learning Engineer to build, deploy, and scale machine learning systems, improving ML infrastructure and ensuring models run efficiently and reliably in production.

Requirements

• Prior experience with productionising ML systems
• Prior experience training machine learning models
• Advanced knowledge of Python and familiarity with SQL
• Good working knowledge of Terraform for Infrastructure as Code (IaC)
• Solid understanding and hands-on experience with real-time and event-driven systems such as Kafka, Kafkaconnect, Pub/Sub
• Solid experience with Kubernetes, docker, deployment types (canary, blue-green etc.)
• Experience with setting up CI/CD systems using tools such as CircleCI, drone, Github actions, ArgoCD
• Working experience with Big Data technologies such as Spark, Dataflow, and Flink
• Experience with system design - keeping performance and efficiency in mind, whilst aware of trade-offs
• Experience applying software engineering rigor to ML, including CI/CD/CT, unit-testing, automation etc.
• Hands-on experience with some MLOps tools such as KubeFlow, DVC, MLFlow
• Experience with cloud providers, such as GCP, AWS, or Azure
• Prior experience or a strong interest in FinTech space