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,...

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