Scrum Master (AIML Initiatives)

Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 22 hours ago

Vacancies: 1 Vacancy

Job Summary

We are looking for a Scrum Master who understands that AI development isnt a linear path. You will be the buffer and the bridge for our AI Research and Engineering teams. Your goal is to apply Agile principles to a world of experimental data model training and compute constraints ensuring we deliver high-value intelligence to our users at a steady cadence.

Key Responsibilities

Agile Orchestration for AI: Facilitate all Scrum ceremonies (Daily Stand-ups Sprint Planning Reviews Retrospectives) specifically tailored for the CRISP-DM or Agile ML lifecycle.
Managing Uncertainty: Help the team navigate the Research phase of AI where outcomes are non-deterministic. Youll assist in breaking down Experimental tasks into actionable user stories.
Eliminating Friction: Proactively identify and remove blockers such as data access delays GPU/Compute bottlenecks and shifting labeling requirements.
Stakeholder Education: Manage expectations with product owners and executives who may be used to traditional software timelines explaining the iterative nature of model performance and Gold Standard datasets.
Metrics that Matter: Track traditional velocity alongside AI-specific health metrics like Model Decay Training Cycles and Inference Latency impacts on the backlog.

Required Qualifications

Agile Certification: CSM (Certified Scrum Master) PSM or equivalent.
AI/ML Literacy: While you dont need to write code you must understand the vocabulary. You should know the difference between training validation and deployment and understand what a Feature Store or Vector DB is in a workflow.
Tooling Expertise: Mastery of Jira or Azure DevOps specifically configured for iterative R&D workflows (e.g. using Spikes for data exploration).
Conflict Resolution: Proven ability to coach highly technical Data Scientists and Machine Learning Engineers on the value of Done in an experimental environment.

Preferred Skills

Experience with MLOps workflows and how they integrate into CI/CD pipelines.
Knowledge of the Azure AI ecosystem or AWS SageMaker project management.
Background in Manufacturing Finance or Healthcare (where AI compliance and accuracy are critical).

Key Responsibilities

Agile Orchestration for AI: Facilitate all Scrum ceremonies (Daily Stand-ups Sprint Planning Reviews Retrospectives) specifically tailored for the CRISP-DM or Agile ML lifecycle.
Managing Uncertainty: Help the team navigate the Research phase of AI where outcomes are non-deterministic. Youll assist in breaking down Experimental tasks into actionable user stories.
Eliminating Friction: Proactively identify and remove blockers such as data access delays GPU/Compute bottlenecks and shifting labeling requirements.
Stakeholder Education: Manage expectations with product owners and executives who may be used to traditional software timelines explaining the iterative nature of model performance and Gold Standard datasets.
Metrics that Matter: Track traditional velocity alongside AI-specific health metrics like Model Decay Training Cycles and Inference Latency impacts on the backlog.

Required Qualifications

Agile Certification: CSM (Certified Scrum Master) PSM or equivalent.
AI/ML Literacy: While you dont need to write code you must understand the vocabulary. You should know the difference between training validation and deployment and understand what a Feature Store or Vector DB is in a workflow.
Tooling Expertise: Mastery of Jira or Azure DevOps specifically configured for iterative R&D workflows (e.g. using Spikes for data exploration).
Conflict Resolution: Proven ability to coach highly technical Data Scientists and Machine Learning Engineers on the value of Done in an experimental environment.

Preferred Skills

Experience with MLOps workflows and how they integrate into CI/CD pipelines.
Knowledge of the Azure AI ecosystem or AWS SageMaker project management.
Background in Manufacturing Finance or Healthcare (where AI compliance and accuracy are critical).