Lead Machine Learning Engineer
Core
Design, build, and deliver machine learning models and components to solve real-world business problems at scale, focusing on architectural design, model optimization, and production deployment.
Role type
Lead Machine Learning Engineer (Production)
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, CI/CD, cloud architecture (AWS/Azure/GCP), data pipeline construction, Responsible AI practices
Preferred skills
People leadership, ML conference/paper contributions, interactive AI tooling, complex data pipeline design, industry-recognized ML frameworks
Technologies
Python, Scala, Java, scikit-learn, PyTorch, Dask, Spark, TensorFlow, AWS, Azure, Google Cloud Platform
Responsibilities
Design and implement ML architectural solutions, develop and validate ML models, automate testing and deployment, monitor and retrain production models, construct optimized data pipelines, ensure code governance and risk management
Seniority
Lead, hands-on IC with team leadership
