Ai engineer

14 minutes ago

Hyderabad, India Blend Full time

We are seeking a skilled AI Engineer with strong hands-on experience in Azure AI and Machine Learning services. The ideal candidate will design, develop, and deploy scalable AI/ML and Generative AI solutions leveraging Azure Cloud technologies, Microsoft Fabric, and Azure AI Foundry to solve complex business challenges and drive innovation.Key Responsibilities- Design, develop, and deploy AI/ML models using Azure Machine Learning, Azure Databricks, and Microsoft Fabric.- Build and operationalize LLM-based solutions leveraging Azure AI Foundry, Azure Open AI, and Cognitive Services.- Implement RAG-based architectures using Azure AI Search, Vector Databases, and Lang Chain or Lang Graph frameworks.- Collaborate with Data Engineers and Architects to integrate AI applications with Microsoft Fabric datasets ensuring governance, data lineage, and reliability.- Implement MLOps and LLMOps best practices for continuous integration, delivery, and monitoring of AI models using Azure ML Pipelines and Azure Dev Ops.- Optimize model performance and ensure scalability, security, and reliability of deployed solutions.- Work closely with business and technical stakeholders to translate requirements into AI-driven solutions.- Stay up to date with emerging trends in AI, Gen AI, and cloud-based ML technologies.Qualifications- 5–8 years of experience in building and deploying AI/ML or Gen AI solutions in production environments.- Strong expertise in Azure Machine Learning, Azure Databricks, Microsoft Fabric, Azure AI Foundry, and Azure Cognitive Services.- Proficiency in Python and major ML frameworks (Py Torch, Tensor Flow, Scikit-learn).- Hands-on experience with RAG architecture, prompt engineering, and LLM-based application development.- Experience with MLOps/LLMOps pipelines, model tracking, and CI/CD using Azure Dev Ops.- Familiarity with data integration across Microsoft Fabric, Azure Data Factory, or Synapse.- Strong understanding of model lifecycle management, monitoring, and performance optimization using MLflow, App Insights, and Azure Monitor.- Excellent problem-solving, debugging, and collaboration skills.Good to Have- Exposure to containerization and deployment tools (Docker, Kubernetes).- Experience building APIs and model endpoints using Fast API or Flask.- Understanding of Data Engineering concepts, ETL workflows, and governance within Microsoft Fabric.- Azure certifications such as Azure AI Engineer Associate or Azure Data Scientist Associate.- Familiarity with Git, Terraform, or other Infrastructure-as-Code tools.Education- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

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