Machine Learning Engineer - MLOps

About us

More than 300 employees work on the product, from search ranking to fraud detection. We run a marketplace with over 300,000 active sellers and fulfillment centres in four regions. Our office has a quiet floor and a loud floor.

Position summary

Edwards Apps is hiring for the Machine Learning Engineer - MLOps role to take models from notebook to production and keep them working once they're there. This is a full-time remote role. We use an employer of record in Uruguay, so you get a proper employment contract, not a freelance agreement. Working hours overlap with UK business hours.

Responsibilities

• Track experiments, artifacts and versions in MLflow or Weights & Biases
• Productionize data science prototypes without rewriting everything
• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow
• Set up evaluation harnesses and regression tests for model quality
• Cut inference cost with quantization, batching and caching
• Monitor models for drift, data quality issues and latency regressions
• Write clean, tested Python and review teammates' code

You'll need

• 3-5 years of software engineering experience, with at least two spent on ML systems in production
• BS or MS in computer science, engineering or a related field
• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• Strong Python and solid engineering habits (testing, packaging, code review)

Desirable

• Computer vision background (OpenCV, detection, segmentation)

What we offer

Salary: UYU 250,000 - UYU 310,000 monthly

• Two weeks of paid leave at year end
• Paid parental leave
• Health insurance through our employer-of-record partner
• Annual team retreat
• Company laptop

Candidates must be eligible to work in Uruguay.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Edwards Apps.