Senior Cloud Engineer Ml/ai Platform

Bmousbenefits

250 Yonge Street, Canada
Base: $75,900.00 - $141,900.00; bonus/equity: not ...
Aws and azure ai/ml services
Mlops platforms and automated pipelines
Llmops, llm lifecycle management
Evaluate and enable AWS and Azure AI/ML services through proof-of-concepts and comprehensive assessments

Job Summary

  • Evaluate and enable AWS and Azure AI/ML services through proof-of-concepts and comprehensive assessments.
  • Build end-to-end MLOps platforms and automated ML pipelines for model training, evaluation, deployment, and monitoring.
  • Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps.

Matching Summary

Evaluate and enable AWS and Azure AI/ML services through proof-of-concepts and comprehensive assessments.

Salary

Base: $75,900.00 - $141,900.00; Bonus/Equity: Not specified; Benefits: health insurance, tuition reimbursement, accident and life insurance, retirement savings plans

Skills & Requirements

Must-have

  • AWS and Azure AI/ML services
  • MLOps platforms and automated pipelines
  • LLMOps, LLM lifecycle management
  • Python and infrastructure-as-code
  • cloud security patterns for AI/ML
  • cloud networking architecture

Nice-to-have

  • vector databases and embedding models
  • model optimization and inference acceleration
  • financial services or banking background

Key Requirements

  • 5-7 years cloud engineering experience
  • 3+ years AI/ML platforms experience
  • AWS SageMaker, Bedrock expertise
  • Azure Machine Learning, OpenAI expertise
  • LLM guardrails and governance experience
  • Terraform, CloudFormation, ARM/Bicep proficiency
  • MLflow or similar tool experience
  • Highly regulated industries experience

Work Rights

Not specified

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