Machine Learning Architect - Not An Active Opening, Building Talent Pipeline

Caylent

Canada
Base: cad $152,000 - $171,000 py; bonus/equity: co...
Fully remote
Amazon sagemaker expertise
Infrastructure as code tools
Ml system design experience
Caylent is building a talent pipeline for future openings for a Machine Learning Architect, focusing on candidates with expertise in ML system design and a passion for collaboration. The role emphasizes innovation in delivering AWS solutions and involves leading Agile ceremonies, managing backlogs, and mentoring team members

Job Summary

  • The role involves guiding customers and engineers through Agile ceremonies to deliver AWS solutions across a diverse customer base.
  • Candidates must possess expert-level experience with Amazon SageMaker and ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
  • The position offers competitive compensation including phantom equity, paid certifications, and a fully remote work environment.

Matching Summary

Match Score: 85

Caylent is building a talent pipeline for future openings for a Machine Learning Architect, focusing on candidates with expertise in ML system design and a passion for collaboration. The role emphasizes innovation in delivering AWS solutions and involves leading Agile ceremonies, managing backlogs, and mentoring team members.

Salary

Base: CAD $152,000 - $171,000 per year; Bonus/Equity: Competitive phantom equity and performance incentives; Benefits: Medical insurance, flexible PTO, and equipment stipend

Skills & Requirements

Must-have

  • Amazon SageMaker expertise
  • Infrastructure as Code tools
  • ML system design experience
  • AWS cloud native applications
  • MLOps tools familiarity

Nice-to-have

  • Passion for staying curious
  • Agile ceremony facilitation
  • Mentoring less experienced peers
  • Customer requirement translation
  • Cross-functional collaboration

Key Requirements

  • Experience with IaC tools like CloudFormation or Terraform
  • Strong understanding of feature engineering and hyperparameter tuning
  • Familiarity with MLOps tools including MLflow and Neptune

Work Rights

Not specified

Tailored Resume

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