Minimum Requirement

Fluent in English, both written and verbal.
Advanced knowledge of AI (Agentic AI & Generative AI), especially Azure AI services.
Proficiency in programming languages such as Python, R, and familiarity with C++ or Java.
Expertise in machine learning frameworks (TensorFlow, PyTorch) and NLP libraries.
Hands-on experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Framework.
Strong understanding of Agentic AI and Generative AI concepts and their practical applications.
Experience with MLOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
Knowledge of data engineering, data preprocessing, and working with large-scale datasets.
Familiarity with cloud platforms (Azure, AWS, GCP) and distributed computing
Ability to absorb and convey detailed technical information effectively.
Strong analytical and technical problem-solving skills.
Effective time management skills to meet deadlines.
Good presentation skills and ability to explain complex concepts to non-technical stakeholders

Job description

Lead the design, development, and deployment of advanced AI solutions, including Agentic AI and Generative AI systems.
Collaborate with cross-functional teams to identify AI opportunities and deliver innovative solutions aligned with business objectives.
Architect and implement AI models using Azure AI services and other cloud-based platforms.
Ensure scalability, reliability, and performance of AI systems in production environments.
Mentor and guide junior AI developers, fostering a culture of continuous learning and innovation.
Stay updated with the latest advancements in AI, machine learning, and cloud technologies to drive strategic initiatives.
Develop and maintain documentation for AI models, workflows, and best practices.