Senior Machine Learning Engineer
Core
Design, construct, and deliver machine learning models and solutions targeting real-world business challenges at scale.
Role type
Senior Lead Machine Learning Engineer (Production)
Builds
Production-ready ML applications, high-performance data pipelines, and cloud-based architectures.
Domain
Financial services, Big Data, Cloud Infrastructure
Required skills
Distributed computing, Python/Scala/Java, ML system construction, Team leadership, Cloud deployment (AWS/Azure/GCP), ML frameworks (PyTorch/Spark/TensorFlow), Data pipeline development, CI/CD, Responsible AI practices
Preferred skills
Masters/Doctoral degree, Conference presentations/publications, Open source contributions, People management, Efficient code writing, Data preparation
Technologies
AWS, Azure, PyTorch, Python, Scala, Spark, TensorFlow, Java
Responsibilities
Design and deploy ML models for business challenges, Inform infrastructure decisions on model selection and training, Write and deploy application code for ML solutions, Supervise model retraining and monitoring in production, Develop cloud-based architectures for scaling ML models, Construct high-performance data pipelines, Ensure model governance and adherence to Responsible AI best practices
Seniority
Senior, hands-on IC with leadership responsibilities
