About this role
Key Accountabilities
Accountable for providing hands-on technical knowledge, while managing client relationships within the project context.Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution.Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards.Key Responsibilities:
Capture client requirements and lead the development of solution architectures that meet both current and future business needsProvide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions.Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation.Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI).Explore and Analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure FoundryImplement data pipelines and workflows to automate and operationalize machine learning and GenAI solutions using tools such as Azure ML Pipelines, Azure DevOps.Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights.Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed.Communicate and present findings and recommendations to stakeholders and customers.Key Performance Indicators
Solution delivery to the agreed standard of qualitySolution delivery to the agreed budget and timescales. Key Competencies
Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure servicesDemonstrable experience in data science, machine learning, or a related field.Proficiency in Python, SQL, or other programming languages for data analysis, machine learning and GenAI.Experience with cloud platforms and services, preferably Azure, for data science and machine learningExperience with one or more generative AI and LLM frameworks and tools.Experience with machine learning concepts and techniques.Experience with data visualisation and storytelling tools and techniques.Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices.Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or DatabricksExcellent communication, collaboration, stakeholder management, and problem-solving skills.Familiarity with the Microsoft Copilot stack, including Copilot StudioMicrosoft Certified: Azure AI Cloud Developer Associate (AI-200), Machine Learning Operations Engineer Associate (AI-300) or Agentic AI Business Solutions Architect (AB-100) is a plusExperience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. What You’ll Bring
You are enthusiastic, curious and eager to build a career in consulting and change management. You enjoy working with people, communicating ideas clearly and helping organisations successfully adopt new ways of working. You'll demonstrate:
A positive and proactive attitude.
Strong collaboration and team-working skills.
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