Azure AI Solutions Architect

Responsibilities: - Design and implement end-to-end Artificial Intelligence (AI) solutions on the Microsoft Azure platform - Collaborate with cross-functional teams to identify business needs and develop innovative AI solutions that meet those needs - Develop technical architectures, blueprints, and roadmaps for AI projects using Azure services such as Cognitive Services, Machine Learning, and Data Factory - Lead the development and deployment of machine learning models in production environments - Provide technical guidance and mentorship to other team members on AI best practices and emerging technologies - Stay up-to-date with industry trends in AI technology advancements and incorporate them into project designs - Communicate complex technical concepts to non-technical stakeholders in a clear manner - Ensure all projects are delivered within scope, budget, and timeline constraints while meeting quality standards. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering or related field. - Minimum of 5 years experience working as an architect designing cloud-based solutions. - Strong understanding of artificial intelligence concepts including machine learning algorithms, natural language processing (NLP), computer vision etc. - Hands-on experience developing end-to-end AI solutions using Microsoft Azure services such as Cognitive Services, Machine Learning Studio/Service etc. - Experience deploying machine learning models into production environments using tools like Docker or Kubernetes. - Proficient in programming languages such as Python or R for data analysis and model development. - Familiarity with DevOps principles for continuous integration/continuous delivery (CI/CD). - Excellent problem-solving skills with the ability to think creatively when faced with challenges. Qualifications: In addition to the requirements listed above, we are looking for candidates who possess the following qualifications: - Proven track record of successfully delivering large-scale enterprise AI projects. - Experience working with Azure Databricks, HDInsight or other big data platforms is a plus. - Microsoft Certified: Azure AI Engineer Associate certification is preferred. - Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders at all levels of the organization. - Ability to work independently and manage multiple priorities in a fast-paced environment. If you are passionate about leveraging cutting-edge technology to solve complex business problems, we want to hear from you! Please submit your application for consideration.