Overview
Join to apply for the AI Engineer role at Avanade.
As an Azure AI Engineer at Avanade, you will leverage extensive knowledge of Azure AI services to enhance client business processes. You will be responsible for implementing solutions that incorporate Azure AI services, ensuring the alignment of these technologies with business goals. Your role involves designing, building, and maintaining scalable AI solutions that integrate seamlessly with client environments.
Responsibilities
* Implement Azure AI services according to the client\'s business and technical requirements.
* Engage with clients to translate business requirements into robust and scalable AI solutions.
* Design and deploy machine learning workflows and ensure seamless integration with Azure data services.
* Develop APIs for AI models to be consumed in client applications.
* Conduct ongoing maintenance and updates to AI implementations.
* Collaborate with team members to innovate on current methodologies and enhance productivity.
* Prepare technical documentation and system architecture diagrams to support development and deployment strategies.
* Travel as required.
Qualifications
* Proficiency in Microsoft Azure AI Services, including Azure ML, Azure Cognitive Services, Azure Bot Services, AI Foundry, and Copilot Studio.
* Experience with modern AI frameworks (LangChain, Semantic Kernel, Transformers) and RAG implementation using vector databases; knowledge of other cloud platforms like AWS and Google Cloud is beneficial.
* Experience with machine learning algorithms, large language models, data structure design, and open-source frameworks.
* Programming skills in Python, R, JavaScript or .NET, with an emphasis on adaptability of these skills to various AI and machine learning projects.
* Experience in data integration and architecture solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake; familiarity with similar tools on other platforms is advantageous.
* Ability to implement AI insights using Microsoft Power BI, with interest in learning or using similar tools on other platforms.
Education & Certifications
* BSc or MSc degree in Computer Science, Engineering, Mathematics, or another relevant field; equivalent combination of education and experience acceptable.
* Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100) certifications are beneficial.
What You'll Do
* Implement Azure AI services according to the client\'s business and technical requirements.
* Engage with clients to translate business requirements into robust and scalable AI solutions.
* Design and deploy machine learning workflows and ensure seamless integration with Azure data services.
* Develop APIs for AI models to be consumed in client applications.
* Conduct ongoing maintenance and updates to AI implementations.
* Collaborate with team members to innovate on current methodologies and enhance productivity.
* Prepare technical documentation and system architecture diagrams to support development and deployment strategies.
* Travel as required.
Benefits
* Opportunity to work with Microsoft's Global Alliance Partner of the Year, with development and training (minimum 80 hours per year for training and paid certifications).
* Real-time access to technical and skilled resources globally.
* Dedicated career advisor to support your growth.
* Inclusive and collaborative work environment with opportunities for learning and advancement.
Seniority level
* Entry level
Employment type
* Full-time
Job function
* Engineering and Information Technology
* Industries: IT Services and IT Consulting
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