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EverestDX - Scrum Master - Agile Methodologies

EverestDX - Scrum Master - Agile Methodologies

EverestDXChennai
5 days ago
Job description

Key Responsibilities :

Agile Delivery Leadership :

  • Facilitate daily stand-ups, sprint planning, retrospectives, and backlog refinement sessions.
  • Ensure sprint goals are aligned with overall GenAI roadmap and business objectives.
  • Track team velocity, manage impediments, and promote continuous improvement.

GenAI Program Coordination :

  • Collaborate with Product Owners to define and prioritize user stories involving LLM integration, AI pipelines, and API-driven AI services.
  • Manage dependencies between AI model training teams, data pipeline engineers, and cloud deployment units.
  • Support model lifecycle management (from data ingestion to fine-tuning and deployment).

    • Stakeholder Engagement :

  • Communicate sprint progress, risks, and achievements to leadership and non-technical stakeholders.
  • Partner with AI Architects, MLOps Engineers, and UX teams for smooth cross-functional execution.
  • Translate complex GenAI development updates into business-friendly progress reports.

    • Process and Governance :

  • Implement Agile frameworks (Scrum, Kanban, or SAFe) in AI-centric environments.
  • Promote responsible AI governanceprivacy, ethics, and bias mitigation in model use.
  • Use Agile tools (e.g., Jira, Azure DevOps) for sprint tracking and metrics visualization.

    • Required Skills and Qualifications :

    Core Scrum Expertise :

  • Certified Scrum Master (CSM), PSM I / II, or SAFe Scrum Master certification.
  • Proven experience managing 2+ Agile teams delivering Data, AI, or Cloud solutions.

    • AI / GenAI Understanding :

  • Familiarity with Generative AI conceptsLLMs (e.g., GPT, Claude, Gemini), prompt engineering, RAG, vector databases, and AI orchestration tools.
  • Exposure to MLOps, AI pipelines, or data engineering workflows.
  • Understanding of cloud-based AI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI).

    • Tools and Collaboration :

  • Azure DevOps for Agile operations.
  • Exposure to tools like LangChain, CrewAI, or OpenAI API integrations preferred.

    • Soft Skills :

  • Strong communication, servant leadership, and conflict-resolution skills.
  • Ability to drive clarity and focus in technically complex AI environments.
  • Data-driven decision-making mindset with innovation agility.

    • Nice-to-Have Skills :

  • Experience in AI product lifecycle management or AI governance frameworks.
  • Background in software engineering, data science, or cloud architecture.
  • Exposure to Agile scaling frameworks (SAFe, LeSS, Spotify Model).
  • Familiarity with AI evaluation metrics, model drift tracking, and human-in-the-loop processes.

    • KPIs / Success Metrics :

    : - Sprint velocity and delivery predictability.

  • Reduced AI model deployment cycle times.
  • Improved backlog health and prioritization accuracy.
  • Stakeholder satisfaction and cross-team alignment.
  • Implementation of responsible AI practices

    • (ref : hirist.tech)

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    Scrum Master • Chennai