Azure AI/ML Engineer
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Sign up to see compensation estimateTotal Experience: 6-8 years
Required Skill Sets:
• Design and implement AIML solutions using Azure AI services such as Azure Open AI Azure Machine Learning Azure Cognitive Services (Vision, Language, Speech, Decision)
• Develop and deploy ML models using Python, R, or .NET
• Build end-to-end ML pipelines including data ingestion, training, evaluation, deployment, and monitoring Fine-tune and manage LLMs and generative AI solutions where applicable.
• Architect cloud-native AI solutions leveraging Azure ML Workspaces Azure Functions Azure App Services Azure Kubernetes Service (AKS)
• Implement AI model deployment patterns (batch, real-time, and event-driven inference)Ensure scalability, resiliency, performance, and cost optimization
• Work with structured and unstructured data from sources such as Azure Data Factory Azure Synapse Analytics Azure Databricks Azure Data Lake Storage
• Implement MLOps practices using Azure DevOps GitHub Actions CICD pipelines for ML models
• Model versioning, monitoring, and retraining
• Ensure data quality, governance, and lineage
• Implement Azure security best practices
• Managed identities Key Vault Role-Based Access Control (RBAC)
• Design AI systems compliant with enterprise and regulatory standards (e.g., BFSI, HIPAA, PII, GDPR)Apply responsible AI principles fairness, explainability, transparency, and bias mitigation
• Collaborate with data scientists, data engineers, developers, and business stakeholders
• Translate business problems into AI-driven technical solutions
• Provide technical guidance and mentor junior engineers
• Support production issues and continuous improvement initiatives
• Technical Skills Strong experience with Microsoft Azure
• Expertise in Azure AI ML services
• Proficiency in Python (TensorFlow, PyTorch, Scikit-learn preferred)
• Hands-on experience with REST APIs and microservices
• Solid understanding of MLOps and CI/CD practices
• Experience with containerization (Docker) and orchestration (AKS)
• Knowledge of SQL and NoSQL data stores (Azure SQL, Cosmos DB)Azure AI Engineer Associate Certified (AI-102)
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