Scrum Master
1 week ago
Infosys is a global leader in next-generation digital services and consulting with annual revenues of $16.31B (FY ‘22). We enable clients in 46 countries to navigate their digital transformation
Infosys Consulting partners with clients from strategy through execution to transform their businesses in areas such as business/ IT strategy, processes, organization, systems and risk. Infosys Consulting has 2,500+ people across the US, Europe, APAC and India
We are Value Integrators – we deliver realized business value by managing transformations from strategy / setting direction through execution, including operating and optimizing delivered solutions
Data and Analytics Skills you will have
Foundation on AI Concepts: Familiarity with fundamental AI concepts, including machine learning, neural networks, natural language processing, and computer vision.
Data Literacy: Ability to interpret and analyze data, understanding data sources, data quality, and the implications of data-driven decisions.
Knowledge of AI Tools and Frameworks: Awareness of popular AI frameworks and tools (e.g., Jupyter, Apache Spark) used in the development and deployment of AI models.
Non Expert Understanding of Statistical Analysis: Basic understanding of statistics and probability, which is crucial for evaluating model performance and understanding data distributions.
Collaboration with Data Scientists: Skills to effectively communicate and collaborate with data scientists and AI engineers, translating technical requirements into actionable tasks.
Project Lifecycle Awareness: Knowledge of the AI project lifecycle, including data collection, model training, validation, deployment, and monitoring.
Ethics in AI (Responsible AI): Understanding of ethical considerations in AI, such as bias, fairness, and transparency, to guide teams in responsible AI development.
Agile Adaptation for AI Projects: Ability to adapt Agile practices to fit the unique challenges of AI projects, such as iterative model development and experimentation.
Technical Problem-Solving: Skills to address technical challenges that arise during AI project execution, facilitating discussions to find solutions.
Continuous Learning: Commitment to staying updated on the latest trends and advancements in AI and data science to effectively guide the team.
A foundational list of the responsibilities that you will have –
Facilitate Agile Ceremonies, custodian of Agile artefacts: Lead daily stand-up meetings, sprint planning, reviews, and retrospectives to ensure effective team collaboration. Ensure the population and creation of a prioritized product backlog, and a refined sprint backlog
Proactively remove Impediments: Identify and eliminate obstacles that hinder the team’s progress, fostering a smooth workflow.
Facilitate Collaboration within the team and with the business: Work closely with AI engineers, data scientists, product owners, and stakeholders to align project goals with business objectives.
Continuous Improvement Initiatives: Promote best practices in Agile methodologies and encourage a culture of continuous improvement within the team.
Enable Project Management: Develop and maintain project plans and timelines for AI initiatives, ensuring timely delivery of high-quality products.
Preferred Qualifications:
Certification: Certified Scrum Master (CSM, PSM, SAFe Scrum Master) or equivalent.
Experience: Proven experience as a Scrum Master for 6+ years, with >18 months particularly in AI, data science, or software engineering environments.
Skills: Strong communication, facilitation, and problem-solving skills, with a focus on fostering collaboration between human and AI teams.
Location of Posting: Multiple locations
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