AI Scrum Master - AM

Core Experience

7+ years of overall professional experience, with at least 4+ years as a dedicated Scrum

Master.

AI Project experience is must.

Proven experience leading software engineering or data/AI project teams.

Strong understanding of Agile, Scrum, and Kanban frameworks and their practical implementation in tech environments.

Technical Competence

Background in Computer Science, Engineering, or a related technical field (Bachelor's or higher).

Hands-on experience or sound understanding of:

Coding languages (e.g., Python, Java, or JavaScript)

REST APIs, microservices, or cloud platforms (AWS, GCP, or Azure)

Data pipelines, data warehousing, and data modeling concepts

Basic understanding of AI/ML lifecycle (model development, training, deployment)

CI/CD pipelines, Git, Jenkins, Docker, or Kubernetes

Agile Tools & Project Management

Proficient in Jira, Confluence, Trello, Miro, or similar tools for agile tracking and collaboration.

Knowledge of metrics-driven delivery (velocity, burndown, cycle time, defect density, etc.).

Strong documentation, facilitation, and cross-team communication skills.

Certifications (Preferred)

Certified Scrum Master (CSM) or Professional Scrum Master (PSM I/II)

SAFe Agilist / PMI-ACP / ICP-ACC (Agile Coaching Certification)

Technical certifications in cloud, AI, or data (AWS, Azure, Google, or equivalent)