Senior Machine Learning Engineer
Core
Design, build, test, and deploy robust machine learning models that power critical business decisions for a global payment software company.
Role type
Senior Machine Learning Engineer (Production MLOps)
Builds
Scalable ML pipelines for real-time inference and production-grade solutions for payment operations.
Domain
Fintech / Payments
Deliverable
production ML models
Required skills
Python, TensorFlow/PyTorch, Pandas, NumPy, Apache Spark, Airflow, Kubeflow, Flyte, AWS, Docker, Kubernetes, MLOps, Infrastructure-as-Code (Terraform)
Preferred skills
AWS Sagemaker, low-latency model deployment
Technologies
TensorFlow, PyTorch, Pandas, NumPy, Apache Spark, Airflow, Kubeflow, Flyte, AWS, Docker, Kubernetes, Terraform, Sagemaker
Responsibilities
Design and deploy ML models for business decisions; Develop and maintain scalable pipelines for training and inference; Collaborate with data scientists and product teams; Implement best practices for model reliability and optimization; Integrate new ML/AI techniques; Monitor and optimize model performance.
Seniority
Senior, hands-on IC