AI ML Engineer

Strong understanding of Restful API design principles, including HTTP methods, data formats (JSON, XML) and error handling.
Responsible to build solutions using Python, Python asynchronous programming
Possess experience with Azure App service, containers, Azure Functions, Logic apps and API management.
Responsible for tweaking GenAI(Open AI) models with prompts engineering.
Implement and maintain automated Data pipelines and CI/CD processes for streamlining AI development and deployment while integrating efficient indexing workflow.
Ensure data quality and efficiency AI search by cleaning, preprocessing, and transforming data considering both model and indexing requirements.
Improve system performance by conducting tests, troubleshooting and integrating new elements

 

Ensure AI solutions and data pipelines comply with relevant data privacy and security regulations, upholding both Azure and Open AI security standards while maintaining secure indexing practices.
Continuously learn and Adapt to the ever-evolving landscape of AI, Azure, Open AI and AI search technologies, exploring new tools and frameworks for innovative solutions.

Required Technical Skills:
The resource MUST have the following skills and experience.
Extensive experience with data engineering tools and techniques preferably Microsoft Azure platform
Proven expertise in Azure AI services including Open AI tools with additional experience in AI search indexing techniques and platforms.
Expertise in prompt engineering
Proficiency in Python, OOPs concept in Python, asynchronous programming in Python
Good to have understanding of Python Quart framework/Flask
Strong understanding of Restful API design principles, including HTTP methods, data formats (JSON, XML) and error handling.
Microsoft Azure platform Data services expert knowledge Proven experience working with Data Factory, Logic Apps, Azure Functions, Azure AI service, Open AI, Cosmos DB, AI search etc.
Azure DevOps.
Proven experience building CI/CD pipelines in Azure using, at least, scripting and ARM templates.

 

Experience with Service Management tools (ticketing systems)
Experience with Service Management methodologies (ITIL) and Change Management
Customer-centric approach to delivery and problem solving.

Desirable certifications:
Microsoft Azure AI, Data Engineering and Open AI certifications, Azure solution architecture along with knowledge of AI search indexing certifications are considered a plus.
Certifications on any other public cloud platforms are considered a plus.

Desired Experience:
3+ years