Machine Learning Architect

3 days ago


Cincinnati, Ohio, United States W3R Consulting Full time

W3R Consulting is seeking a seasoned Machine Learning Architect to spearhead the development of secure, automated deployment pipelines and enhance MLOps capabilities.

We offer a competitive salary in the range of $140,000 - $200,000 per year, depending on experience.

About the Role:

The Senior Machine Learning Engineer will play a key role in engineering, change management, and mentoring team members in MLOps best practices.

Key Responsibilities:

  • Design and implement secure, automated ML deployment pipelines using AWS SageMaker.
  • Train and mentor team members on MLOps tools and processes.
  • Implement advanced MLOps capabilities, including MLFlow, A/B testing, real-time endpoints, and Model Risk Management automation.
  • Balance technical implementation with change management and training.

Requirements:

  • 3-5+ years of experience in machine learning and MLOps.
  • Proven expertise in AWS SageMaker and end-to-end ML model development.
  • Familiarity with data integration using IBM DB2, Snowflake, or similar.
  • Strong CI/CD pipeline and DevOps tools experience.

Must-Have Technical Skills:

  • Amazon SageMaker
  • Ci/Cd
  • DevOp tools like Jira, Terraform, GitHub, or Jenkins
  • Docker
  • Experience in a highly regulated industry such as Banking/Financial/Healthcare
  • Github
  • Python
  • SQL
  • Terraform

Nice To Have:

DBT, Java, Snowflake


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