Senior Machine Learning Engineer

BDO

Base: $84,000 to $128,000; bonus/equity: not speci...
Hybrid
5+ years software engineering experience
3+ years mlops or ml engineering roles
In-depth microsoft azure ecosystem knowledge
BDO is seeking a Senior Machine Learning Engineer to join its Technology Advisory Services, focusing on developing scalable MLOps pipelines using Azure and Databricks. The ideal candidate will have extensive experience in machine learning and client engagement, fostering BDO's people-first culture

Job Summary

  • BDO is seeking a Senior ML Engineer to join their Technology Advisory Services practice, blending technical leadership with hands-on MLOps development.
  • The role focuses on delivering scalable, secure, and production-grade machine learning pipelines using Azure and Databricks while leading client engagements.
  • Candidates will benefit from an award-winning people-first culture that fosters personal and professional growth alongside competitive total rewards.

Matching Summary

Match Score: 85

BDO is seeking a Senior Machine Learning Engineer to join its Technology Advisory Services, focusing on developing scalable MLOps pipelines using Azure and Databricks. The ideal candidate will have extensive experience in machine learning and client engagement, fostering BDO's people-first culture.

Salary

Base: $84,000 to $128,000; Bonus/Equity: Not specified; Benefits: Flexible benefits from day one, market leading personal time off policy, wellness reimbursement

Skills & Requirements

Must-have

  • 5+ years software engineering experience
  • 3+ years MLOps or ML engineering roles
  • In-depth Microsoft Azure ecosystem knowledge
  • Advanced proficiency with Databricks and Delta Lake
  • Strong Python programming skills
  • Experience with CI/CD tools like Azure DevOps

Nice-to-have

  • Excellent written and verbal communication skills
  • Ability to explain technical concepts to non-technical audiences
  • Consulting experience with client management
  • Knowledge of LLM frameworks and libraries
  • Databricks Certified Professional certification
  • Microsoft Certified Azure Solution Architect

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • Minimum 5 years of hands-on software engineering experience
  • At least 3 years of direct MLOps or ML engineering experience
  • Proven success deploying ML solutions in production environments
  • Solid understanding of infrastructure-as-code tools like Terraform

Work Rights

Not specified

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