Senior Cloud Engineer, ML/AI Platform
Core
Designing and operating secure, scalable AI/ML platforms on AWS and Azure to support enterprise model lifecycle management and agentic AI workflows.
Role type
Senior Cloud Engineer specializing in MLOps and LLMOps
Builds
Production-grade MLOps platforms, automated ML pipelines, and secure AI/ML service frameworks for enterprise clients
Domain
Financial services, Cloud Infrastructure, Machine Learning, Large Language Models (LLM)
Deliverable
production ML models | infrastructure
Required skills
AWS AI/ML services (SageMaker, Bedrock), Azure AI/ML services (Azure ML, Azure OpenAI), MLOps platform creation, LLMOps lifecycle management, agentic AI, RAG, prompt engineering, LLM guardrails and governance, Python, Infrastructure-as-Code (Terraform, CloudFormation, ARM/Bicep), MLflow, cloud security (private endpoints, CMKs, network isolation), cloud networking in regulated environments
Preferred skills
Experience in highly regulated industries, agile delivery methodologies
Technologies
AWS, Azure, SageMaker, Bedrock, Azure Machine Learning, Azure OpenAI, Azure AI Foundry, Python, Terraform, CloudFormation, ARM/Bicep, MLflow, LLM, RAG
Responsibilities
Assess and activate AWS and Azure AI/ML services via proof-of-concepts and evaluations; Create and implement reusable architectural frameworks for secure AI/ML collaborations; Develop comprehensive MLOps platforms and automated ML workflows; Generate technical documentation on security, networking, compliance, and cost evaluations; Build frameworks and automation to enhance AI/ML integration; Introduce observability solutions including model monitoring and drift detection; Collaborate with Enterprise Architecture and senior executives to align platform capabilities with strategic initiatives; Offer technical guidance and mentorship on AI/ML cloud best practices