Machine Learning Engineer

Why this job matters

In this job you’ll be supporting the consumer commercial data science team to deliver solutions that meet the business’ strategic direction.

As part of the machine learning operations team, you will lead on developing tools and frameworks to deploy and manage our models as resilient applications or pipelines. You will also build out our operations monitoring and manage the platform the data science team operates within.

What you’ll be doing

• Maintaining templates developed to streamline model deployment
• Building out our data and concept drift monitoring
• Developing tools that abstract engineering problems away from the data science team
• Deploying infrastructure via CICD pipelines
• Reviewing the data science team’s code to ensure quality prior to deployment
• Reimplementing prototypes from the data science team to be production grade
• Working to optimize our platform from a FinOps perspective

The skills and experience you will have under your belt

• Infrastructure as code frameworks such as terraform
• GitOps tools such as gitlab CI or Jenkins
• Comfortable managing cloud environments (GCP preferred)
• Experience with k8 desirable but not a requirement
• Experience developing REST or RPC endpoints
• Highly proficient python programmer
• Previous work experience as a software engineer or DevOps engineer highly desirable
• Knowledge of advanced statistics desirable but not a requirement
• Hands on experience using big data technologies such as Spark.