Architect and design scalable AI solutions using Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and related AI tools.
Lead the end-to-end development of AI/ML models, focusing on Natural Language Processing (NLP) and other generative AI use cases.
Collaborate with cross-functional teams, including Data Science, Engineering, and DevOps, to deploy AI models into production environments using Azure Cloud and DevOps best practices.
Develop and integrate advanced analytics solutions, leveraging Python (Anaconda) and various AI/ML frameworks.
Oversee the implementation of cloud architectures, ensuring adherence to security, scalability, and reliability standards.
Mentor and provide technical leadership to junior AI engineers and data scientists, fostering growth and development within the team.
Engage with stakeholders to understand business challenges and identify opportunities for AI-driven improvements.
Act as a subject matter expert (SME) for all AI-related topics, providing insights and guidance on cutting-edge AI technologies and industry trends.
Deliver presentations and communicate complex technical solutions effectively to both technical and nontechnical audiences.
Drive the implementation of DevOps practices for continuous integration and deployment (CI/CD) in AI model development.
Requirements & Skills:
Extensive experience with Microsoft Azure Cognitive Services, Azure AI, and Azure Open-AI for building AI solutions.
Strong expertise in Python (Anaconda), AI/Machine Learning, and NLP technologies.
Proficiency in Databricks for large-scale data processing and machine learning workflows.
Deep understanding of Cloud Architecture and AI deployments in the Microsoft Azure ecosystem.
Experience in implementing and optimizing AI models in production environments using DevOps and CI/CD practices.
Strong analytical thinking with the ability to solve complex AI problems and propose innovative solutions.
Demonstrated knowledge of Artificial Intelligence, Machine Learning, and Data Science principles.
Excellent communication and presentation skills, capable of articulating complex AI concepts to diverse audiences.
Proven leadership and mentoring skills, with a passion for guiding and developing talent.
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
5+ years of experience in AI/ML, with at least 3 years in a solution architecture or similar role.
Certification in Microsoft Azure or related AI certifications is preferred.
