About this role
Senior Lead ML Engineer focused on GenAI and production ML at Capital One, designing and deploying data-intensive ML systems with cloud platforms.
Key Responsibilities
- Design, build, and deliver ML models and components; Inform ML infrastructure decisions including model, data, and feature selection; Retrain, maintain, and monitor models in production; Leverage cloud-based architectures to deliver optimized ML models at scale; Build optimized data pipelines for ML models
Technical Overview
Hands-on with Python/Scala/Java, PyTorch, Dask, Spark, TensorFlow; cloud deployment on AWS/Azure/GCP; emphasis on ML pipelines, CI/CD, and scalable production ML systems.
Ideal Candidate
The ideal candidate is an 8+ year ML engineer with strong Python/Scala/Java, cloud ML deployment experience, and leadership of teams developing ML solutions.
Must-Have Skills
8+ years of experience designing and building data-intensive solutions using distributed computing4+ years of experience programming with PythonScalaor Java3+ years of experience buildingscalingand optimizing ML systems2+ years of experience leading teams developing ML solutions
Nice-to-Have Skills
Master's or doctoral degree in computer scienceelectrical engineeringmathematicsor a similar fieldExperience deploying ML solutions on public cloud (AWSAzureGCP)4+ years of on-the-job experience with scikit-learnPyTorchDaskSparkor TensorFlow3+ years of people management experienceML industry impact through conference presentationspapersblog postsopen source contributionsor patents3+ years of experience building production-ready data pipelines that feed ML modelsAbility to communicate complex technical concepts clearly
Tools & Platforms
PythonScalaJavaAmazon Web ServicesGoogle Cloud PlatformMicrosoft Azurescikit-learnPyTorchDaskSparkTensorFlowCI/CD
Required Skills
PythonJavaScaladistributed computingPyTorchDaskSparkTensorFlowscikit-learnAWSAzureGoogle Cloud PlatformCI/CDdata pipelinesML engineering
Hard Skills
PythonScalaJavaDistributed computingCI/CDCloud platforms (AWSAzureGoogle Cloud Platform)scikit-learnPyTorchDaskSparkTensorFlowModel deploymentData pipelinesMLOpsBig data
Soft Skills
communicationleadershipteam collaborationproblem-solving
Keywords for Your Resume
Senior Lead Machine Learning EngineerGenAIPythonAWSAzureGoogle Cloud Platformdistributed computingproduction MLPyTorchSparkDaskscikit-learnTensorFlowMLOpsdata pipelinesmodel deploymentLLMcloud platformsCI/CDJavaScalaDistributed computingML engineeringCloud platforms
Deal Breakers
Less than 4 years of Python/Scala/Java programming, Lack of ML production or cloud deployment experience, No leadership experience
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