Role & responsibilities

Azure OpenAI Azure AI Foundry LangGraphCrewA MLOps Spark Databricks Azure Data Factory and Cloud native services RAG Architecture Enterprise AI Architecture

- Design and develop AIML and Generative AI solutions using Databricks and Azure services
- Build and optimize machine learning pipelines for model training evaluation and deployment
- Develop Retrieval Augmented Generation RAG applications using vector databases and Azure OpenAI
- Create and finetune prompts to improve LLM response accuracy and performance
- Develop REST APIs and microservices for AI model integration and consumption
- Implement MLOps practices including CICD model monitoring and lifecycle management
- Utilize Azure AI Services Cognitive Services and Azure OpenAI for enterprise AI use cases




- Collaborate with business stakeholders to translate requirements into AI driven solutions
- Optimize Databricks workflows and Spark based data processing pipelines
- Ensure scalability security and performance of deployed AI applications
- Work with Azure Storage Azure Functions Azure App Services and Azure ML
- Troubleshoot production issues and continuously improve model performance
- Stay updated on emerging AI GenAI and cloud technologies
- Support architecture reviews code reviews and technical documentation
- Mentor junior team members and contribute to AI best practices across projects

📌 Azure AI ML Developer (Hyderabad)
🏢 Elabs Infotech
📍 Hyderabad