The posting
Senior ML /AI - ARTIFICIAL INTELLIGENCE SPECIALIST Work location- Paya Lebar
- Build reusable MLOps workflows on AWS and Databricks using MLflow for experiment tracking, model registration, deployment, and retraining.
- Develop and optimise PySpark and SQL pipelines on Delta Lake and AWS S3 to ingest, validate, and serve production datasets and ML features.
- Turn Python prototypes into tested, Docker-containerised batch jobs, APIs, and model-serving endpoints.
- Automate testing, deployment, and retraining with CI/CD and Terraform, with quality, security, and approval checks across environments.
- Version code, data, features, prompts, and models, and maintain lineage, evaluation records, and rollback procedures for reproducible releases.
- Monitor model performance, data drift, service reliability, and cloud costs, and troubleshoot production incidents across the data, model, and infrastructure layers.



