Role overview
We are looking for a Senior AI / ML Engineer to join our growing ML Engineering team. You will work closely with data scientists, engineers, and product managers to design, build, deploy, and operate robust machine learning systems that power key services across our Digital and Retail platforms.
This role has a strong focus on MLOps and ML Platform development, helping scale and maintain production-ready ML workflows using modern cloud infrastructure and tooling.
What you'll work on
- Design, develop, and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring.
- Support scalable ML solutions across use cases such as recommendations, forecasting, and automation.
- Productionise data science models into reliable, scalable services.
- Build and operate ML services using Airflow, Azure ML, and FastAPI.
- Automate model deployment and lifecycle management using CI/CD pipelines (GitHub Actions, Azure DevOps).
- Improve reliability, observability, and performance of the ML platform.
- Implement monitoring, alerting, and model drift detection using tools like Azure Monitor, NewRelic, Grafana, and custom logging.
- Manage and evolve infrastructure using Terraform, Docker, and AWS Fargate.
- Collaborate cross-functionally with engineering, data, and product teams.
What we're looking for
- Experience with data platforms such as Snowflake or Azure Data Lake.
- Deploying ML models as APIs or services (FastAPI, Azure Functions).
- Strong understanding of model performance monitoring, observability, and drift detection.
Tags & focus areas
Used for matching and alerts on DevFound Ai Machine Learning Data Science Mlops