Sr. Lead Machine Learning Engineer
Core
Design, build, and deliver production-ready machine learning models and systems at scale, solving real-world business problems while ensuring high availability and performance.
Role type
Senior Lead Machine Learning Engineer (Production/Infrastructure)
Builds
Production ML models, optimized data pipelines, and cloud-based ML architectures
Domain
Financial Services / Machine Learning Engineering
Deliverable
production ML models
Required skills
Distributed computing, Python/Scala/Java programming, ML system scaling and optimization, team leadership, CI/CD, model monitoring and maintenance, data pipeline construction, Responsible AI practices
Preferred skills
Public cloud deployment (AWS/Azure/GCP), industry ML frameworks (PyTorch/Spark/XGBoost), performant code development, data preparation, people management, technical communication, interactive AI tooling
Technologies
Python, Scala, Java, AWS, Azure, Google Cloud Platform, scikit-learn, PyTorch, Dask, Spark, XGBoost
Responsibilities
Design and implement ML applications, develop and validate ML models, automate tests and deployment, collaborate on cross-functional software development, retrain and monitor production models, construct optimized data pipelines, ensure code governance and risk management
Seniority
Senior, hands-on IC with leadership responsibilities