Design, develop, and deploy AI/ML models using Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI Service.
Build and optimize data pipelines for training and inference using Azure Data Factory, Azure Synapse, and Databricks.
Collaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable AI solutions.
Implement MLOps practices for model versioning, monitoring, and continuous deployment.
Ensure solutions meet performance, scalability, and security standards within Azure cloud environments.
Stay updated on emerging AI technologies and recommend adoption strategies.
45 years of experience in AI/ML development, with at least 3 years working on Azure AI ecosystem and exposure to Google Cloud AI/ML services.
Proficiency in Python, R, or C# for AI/ML development.
Hands-on experience with Azure Machine Learning Studio, Azure Cognitive Services (Vision, Speech, Language, Decision), and Azure OpenAI Service.
Strong understanding of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
Experience with data engineering tools (Azure Data Factory, Synapse, Databricks).
Knowledge of cloud security, compliance, and cost optimization best practices

Artificial Intelligence Engineer