Senior Machine Learning Engineer
Air Arabia1 month ago
Colombo, Sri LankaSenior / Staff+
Responsibilities
- Design and maintain the core ML platform architecture integrating Snowflake/Snowpark with Kubernetes for hybrid batch and real-time workloads.
- Deliver end-to-end data science products such as flight revenue forecasting, customer retention, and ground operations solutions.
- Automate data ingestion, model training, and continuous deployment pipelines using Apache Airflow and GitLab CI/GitHub Actions.
- Build and manage a centralized Feature Store and Model Registry within Snowflake.
- Implement observability for model performance, data drift, and system health using Prometheus, Grafana, and Evidently AI.
- Develop reusable FastAPI or gRPC service wrappers for real-time model serving.
- Establish CI/CD, unit testing, modular-code, and other paved-road workflows for data science teams.
- Influence architecture and engineering culture across specialized teams without direct authority.
Requirements
- Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field.
- 6–8 years of experience in Data Science, MLOps, Platform Engineering, or DevOps specifically for machine learning.
- 1–2 years of experience in the aviation domain, such as an airline or vendor.
- Deep expertise in machine learning, statistics, and applied modeling.
- Mastery of Kubernetes, Docker, and Terraform for Infrastructure as Code.
- Expert-level Python and SQL skills, including object-oriented and modular design.
- Proficiency serving models built with LightGBM, XGBoost, TensorFlow, and PyTorch.
- Hands-on experience with Snowflake/Snowpark and Airflow.
- Strong understanding of production ML systems, scalable solutions, and deployment trade-offs.
- Knowledge of aviation systems including PNRs, e-tickets, and revenue management logic such as yield and inventory control.
- Strong leadership, communication, and cross-functional architectural influence skills.
- Fluency in English and proficiency in Microsoft Office.