Live opening · Posted 12 days ago
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EazyML, Recognized by Gartner, EazyML (www.EazyML.com) specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai.
This is a full-time Remote role for AN EXPERIENCED SCRUM MASTER. THIS IS NOT AN ENTRY LEVEL JOB, DO NOT APPLY IF YOU DON'T HAVE AT LEAST 4 YEARS OF SCRUM MASTER EXPERIENCE.
You can work from home (anywhere in INDIA, job location is in India) Location: Fully Remote
Experience: 5–12 years
We are looking for a Senior Scrum Master to lead Agile teams delivering GenAI and Agentic AI–powered solutions in clinical operations and life sciences environments. This role is ideal for someone with strong hands-on Scrum Master experience and a solid technical background that enables effective collaboration with cross-functional engineering teams. You will work closely with product, engineering, clinical operations, and compliance stakeholders to deliver secure, high-impact AI solutions in regulated settings.
Key Responsibilities:
Lead and coach Agile teams delivering GenAI, Agentic AI, AI/ML, cloud platforms, and intelligent automation solutions
Support teams using Scrum and Kanban, facilitating all core Agile ceremonies
Partner with Product Owners, full-stack engineers, GenAI engineers/data scientists, DevOps, QA, and UI/UX teams, as well as clinical operations and compliance stakeholders
Remove impediments related to cloud readiness, model lifecycles, CI/CD pipelines, security, and regulatory compliance
Apply Agile practices suited for AI/ML and experimentation-driven development
Track and communicate delivery using Agile metrics (velocity, flow, cycle time, predictability)
Drive continuous improvement while maintaining audit readiness and documentation discipline
Required Qualifications:
5+ years of experience in Agile delivery, including hands-on Scrum Master experience
Experience in clinical operations, life sciences, or other regulated industries
Strong technical understanding of modern engineering environments, enabling effective engagement with:
Full-stack developers (e.g., Angular, .NET Core)
GenAI engineers and data scientists (Python, ML frameworks)
DevOps and CI/CD pipelines
QA and UI/UX teams
Experience supporting teams in an AWS-based cloud environment
Exposure to GenAI, Agentic AI, AI/ML, or intelligent automation initiatives
Working knowledge of data privacy, security, and regulatory constraints
Excellent facilitation, communication, and stakeholder management skills
Preferred Qualifications:
Scrum certifications (CSM, PSM II/III, SAFe Scrum Master)
Experience with Azure or GCP cloud environments
Exposure to AI governance, MLOps, or scaled Agile frameworks (SAFe, LeSS)
Familiarity with clinical systems, life sciences workflows, or regulated data pipelines
What Success Looks Like:
Predictable, compliant delivery of GenAI and Agentic AI solutions in clinical operations and life sciences
Agile teams that are technically aligned, engaged, and continuously improving
Strong credibility and trust with engineering, product, and clinical stakeholders
Work arrangement
No
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