Azure AI Solution Architect

About Us:

Role: As an Azure AI Implementor and Solutions Architect you will be responsible for designing developing and deploying AI solutions on the Azure platform to meet the diverse needs of our organization and clients.

Collaborating with crossfunctional teams to understand business requirements and translate them into effective AI solutions.

Designing endtoend AI architectures including data pipelines model training deployment and monitoring using Azure AI services.

Developing and implementing machine learning models and algorithms for various applications such as image recognition natural language processing predictive analytics and more.

Writing efficient and scalable code to preprocess data build and train models and deploy them into production environments.

Integrating AI solutions with existing systems and applications ensuring seamless functionality and performance.

Ensuring the security reliability and scalability of AI solutions on the Azure platform.

Providing technical expertise and guidance to team members fostering a collaborative learning environment.

Staying uptodate with the latest advancements in Azure AI services and industry best practices and applying them to enhance solution offerings.

Benefits

Bachelors or master s degree in computer science Engineering or a related field.

Proven experience (78 years) designing developing and deploying AI solutions in the Azure environment.

Strong proficiency in programming languages such as Python and familiarity with relevant libraries and frameworks (e.g. TensorFlow PyTorch scikitlearn).

Handson experience with Azure AI services including Azure Machine Learning Azure Databricks Azure Cognitive Services and Azure DevOps.

Solid understanding of machine learning techniques algorithms and best practices for model training and evaluation.

Experience with data preprocessing feature engineering and working with structured and unstructured data.

Ability to optimize and finetune models for performance scalability and resource efficiency.

Excellent problemsolving skills and the ability to troubleshoot complex technical issues.

Strong communication and collaboration skills with the ability to work effectively in a crossfunctional team environment.

Experience in deploying AI models as APIs or microservices is a plus.

Relevant certifications in Azure AI and machine learning are highly desirable.