Senior Machine Learning Engineer
Core
Design, develop, and maintain scalable end-to-end ML pipelines and deploy ML services/APIs for a global leader in professional information solutions.
Role type
Senior Machine Learning Engineer
Builds
Scalable data and ML pipelines, ML services, APIs, and GenAI implementations
Domain
Professional information solutions (Healthcare, Tax & Accounting, Financial & Corporate Compliance, Legal & Regulatory)
Deliverable
production ML models
Required skills
Python, E2E ML pipelines, SQL/NoSQL, MLOps tools (MLflow, Kubeflow), AWS SageMaker, Docker, Kubernetes, ML lifecycle management
Preferred skills
Computer Vision, NLP, TensorFlow, PyTorch, Scikit-Learn, Pandas, Terraform/CloudFormation, asynchronous messaging, ML monitoring/observability
Technologies
AWS SageMaker, Docker, Kubernetes, MLflow, Kubeflow, TensorFlow, PyTorch, Scikit-Learn, Pandas, Terraform, CloudFormation
Responsibilities
Design and maintain scalable data and end-to-end ML pipelines; Build and deploy ML services and APIs; Partner with Data Scientists to transform models into production-ready solutions; Implement MLOps best practices; Troubleshoot production ML systems; Contribute to GenAI implementations; Mentor team members
Seniority
Senior, hands-on IC
