AI/ML Operations Engineer
Core
Operating and supporting enterprise AI/ML platforms (Dataiku, Amazon SageMaker) and enabling scalable AI/ML solutions for data scientists and business teams.
Role type
AI/ML Platform Engineer
Builds
Enterprise AI/ML platforms, reusable components, and production-ready AI/ML workloads
Domain
Financial Services / Cloud AI/ML
Deliverable
production ML models | infrastructure
Required skills
Dataiku operations, Amazon SageMaker operations, AWS AI/ML services (Bedrock, AgentCore, Amazon Q, QuickSight), CI/CD pipelines, Infrastructure-as-Code (CloudFormation, Terraform), Bash scripting, Git, Jenkins, AWS IAM, networking basics, logging, monitoring, security best practices
Preferred skills
Generative AI solution design, LLM operations, prompt management, model evaluation, guardrails, ML lifecycle concepts, containerization (Docker), Python scripting, Power BI dashboarding, Agile delivery practices
Technologies
Dataiku, Amazon SageMaker, AWS Bedrock, Amazon AgentCore, Amazon Q, Amazon QuickSight, Git, Jenkins, Bash, CloudFormation, Terraform, Power BI, QuickSight, AWS CloudWatch, Docker
Responsibilities
Manage platform availability, performance, access, configurations, monitoring, and operational health; Support upgrades, patching, and environment maintenance; Design and implement AI/ML workloads using AWS-native capabilities; Develop CI/CD pipelines for AI/ML platform components; Implement infrastructure-as-code and configuration-as-code practices; Create and maintain operational dashboards and reports
Seniority
Mid-level, hands-on IC