skills:
Azure OpenAI, RAG, Databricks/Spark, AI orchestration frameworks, APIs, and MLOps. JD: -Azure OpenAI Azure AI Foundry LangGraphCrewA MLOps Spark Databricks Azure Data Factory and Cloud native services RAG Architecture Enterprise AI Architecture
Job Description
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 RetrievalAugmented 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 AIdriven solutions Optimize Databricks workflows and Sparkbased 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
📌 Specialist-Cloud Engineering (India)
🏢 LTM
📍 India
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