Senior Machine Learning Ops Engineer
Core
Design, automate, and optimize machine learning infrastructure to bridge data science and operations, enabling real-time AI-powered financial insights.
Role type
Senior Machine Learning Ops Engineer
Builds
End-to-end ML infrastructure, automated pipelines, and production ML applications for a global AI Super App.
Domain
Financial Technology (FinTech) / Artificial Intelligence
Deliverable
production ML models | infrastructure
Required skills
Python, ML pipeline orchestration (MLflow, Airflow, Kubeflow, SageMaker), cloud services (AWS, Azure, GCP), containerization (Docker, Kubernetes), CI/CD tools, Git, ML algorithms
Preferred skills
Java, Scala, fintech or AI startup experience
Technologies
Docker, Kubernetes, Prometheus, Grafana, ELK, MLflow, Airflow, Kubeflow, SageMaker, AWS, Azure, GCP
Responsibilities
Design and maintain scalable ML infrastructure, automate ML pipelines, collaborate on model deployment, monitor and optimize production models, manage cloud infrastructure, ensure compliance and security protocols.
Seniority
Senior, hands-on IC
