Microsoft Azure AI Specialist

at  iOCO

QUALIFICATIONS REQUIRED:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Azure certifications such as Azure AI Engineer Associate, Azure Solutions Architect Expert, or similar.
• Azure Certifications (AI-100, AI-102, DP-100, or equivalent).

THE ROLE

Our Client is looking for a Microsoft Azure AI Specialist to be responsible for designing, implementing, and optimizing AI and machine learning (ML) solutions using the Azure platform. The role requires a deep understanding of Azure AI services, including Azure Machine Learning, Cognitive Services, and AI-related data platforms. The specialist will collaborate with cross-functional teams to develop innovative AI applications, optimize cloud performance, and provide actionable insights from data-driven solutions.

WHAT YOU’LL DO:

• Solution Design and Architecture:
• Design and architect AI/ML solutions using Azure services (Azure Machine Learning, Cognitive Services, Bot Services, etc.).
• Collaborate with stakeholders to gather requirements, provide strategic insights, and create AI-driven solutions that align with business objectives.
• Model Development & Deployment:
• Build, train, and deploy machine learning models on Azure.
• Use Azure tools for data wrangling, preprocessing, and model evaluation.
• Ensure that AI models are scalable and optimized for performance in production environments.
• Azure AI Services Integration:
• Integrate Azure AI services (e.g., Natural Language Processing, Computer Vision, and Speech APIs) into applications to deliver intelligent experiences.
• Customize Cognitive Services to meet specific business needs.
• Data Management:
• Work with data engineers and data scientists to ensure the proper setup of data pipelines and Azure Data Lake for AI model training.
• Optimize data storage and retrieval processes for AI workloads.
• Cloud Optimization & Security:
• Ensure the AI solutions are secure, scalable, and cost-effective within the Azure cloud environment.
• Apply cloud security principles, data privacy laws, and best practices when working with sensitive data.
• Collaboration & Stakeholder Management:
• Partner with development teams, data scientists, product managers, and business leaders to ensure seamless implementation of AI solutions.
• Educate stakeholders on the benefits and limitations of AI in business operations.
• Continuous Learning & Innovation:
• Stay updated on the latest Azure AI and machine learning advancements, incorporating new techniques and services into existing solutions.
• Participate in hackathons, workshops, and conferences to enhance expertise in AI and Azure.