Artificial Intelligence Engineer

- 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. - 4–5 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