Sr. Machine Learning Engineer
Core
Owns the production platform and operationalization of machine learning models developed by Data Scientists, ensuring reliable deployment and scaling on AWS and Kubernetes.
Role type
Senior MLOps Engineer (IC)
Builds
Production ML services, CI/CD pipelines, and supporting software services for model serving
Domain
Cloud infrastructure (AWS) and Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Kubernetes, AWS, CI/CD, Infrastructure as Code, API design, observability, containerization, ML model serving, benchmarking, load testing, MLflow, Kubeflow
Preferred skills
Java or C++, Jenkins, ArgoCD, PyTorch, TensorFlow, scikit-learn, cybersecurity domain expertise
Technologies
AWS, Kubernetes, Docker, Jenkins, ArgoCD, MLflow, Kubeflow, Python, Java, C++, PyTorch, TensorFlow, scikit-learn
Responsibilities
Design, deploy, scale, secure, monitor, and maintain production systems hosting Data Scientist-developed models; Build and maintain Kubernetes deployments, AWS infrastructure, and container images; Develop and maintain CI/CD pipelines and infrastructure-as-code workflows; Create, test, and maintain APIs and orchestration layers for production model operations; Operate and enhance MLflow and Kubeflow capabilities; Lead complex MLOps projects with broad autonomy; Mentor team members and share technical knowledge.
Seniority
Senior, hands-on IC with mentorship responsibilities
