ob Description

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 needs
• Provide 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 Foundry
• Implement 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
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