Azure AI Engineer

11 - 15 years

5 - 6 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • Deployment MLOps Operationalize agent solutions on Azure including containerization Docker KubernetesAKS setting up CICD pipelines monitoring agent performance and implementing robust MLOps practices for continuous improvement

  • Performance Optimization Scalability Identify and implement strategies to optimize the performance efficiency and scalability of agent systems on Azure

  • Research Innovation Stay uptodate with the latest advancements in AI LLMs and agentic AI frameworks researching and evaluating new technologies for potential application

  • Collaboration Communication Work effectively with data engineers software engineers product managers and business stakeholders to translate requirements into technical solutions and communicate complex concepts clearly

  • Responsible AI Ensure the ethical development and deployment of AI agents addressing bias fairness transparency and security concerns

    Required Skills and Qualifications

    Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related quantitative field If PhD will be good Proven experience 12yrs as a Data Scientist or AI Engineer with a strong focus on building and deploying machine learning or AI solutions Deep expertise in Azure cloud services specifically Azure Machine Learning Azure OpenAI Service Azure Databricks Azure Functions Azure Data Lake Storage etc Strong programming skills in Python Python PyTorch TensorFlow Scikitlearn Handson experience with agent orchestration frameworks Autogen Experience in building multiagent conversational systems and enabling dynamic collaboration Langgraph Proficiency in designing and implementing stateful graphbased agent workflows with complex logic CrewAI Experience in orchestrating roleplaying autonomous AI agents for collaborative task execution Solid understanding of Large Language Models LLMs prompt engineering and RAG Retrieval Augmented Generation techniques Experience with MLOps practices including CICD model monitoring and version control Git Familiarity with containerization technologies Docker Kubernetes Strong analytical and problemsolving skills with the ability to translate business requirements into technical solutions Excellent communication and collaboration skills <
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