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Role at a glance
You will
Design and deploy scalable AI architectures utilizing Azure AI Foundry and Copilot to enhance operational efficiency.
Develop sophisticated Natural Language Processing (NLP) models and implement Retrieval-Augmented Generation (RAG) frameworks to deliver…
Engineer and maintain vector databases to support advanced search capabilities and knowledge retrieval systems.
Experience
8–12 years
Must-have skills
Apache SparkData EngineeringDatabricksMachine LearningMicrosoft AzureNatural Language Processing (NLP)
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Job description
Summary We are seeking a highly skilled AI Engineer – Technical Consultant to drive the integration of advanced artificial intelligence solutions within our IT Services division. In this pivotal role, you will leverage your extensive expertise to architect and implement robust AI strategies, ensuring seamless deployment of cutting-edge technologies. Your work will be instrumental in transforming business processes through intelligent automation and data-driven insights, directly contributing to the organization's strategic objectives and technological leadership in the AI landscape.
Responsibilities
Design and deploy scalable AI architectures utilizing Azure AI Foundry and Copilot to enhance operational efficiency.
Develop sophisticated Natural Language Processing (NLP) models and implement Retrieval-Augmented Generation (RAG) frameworks to deliver intelligent conversational interfaces.
Engineer and maintain vector databases to support advanced search capabilities and knowledge retrieval systems.
Establish comprehensive Agent Governance protocols to ensure the reliability, security, and ethical deployment of autonomous AI agents.
Build and optimize large-scale data pipelines using Azure Databricks, PySpark, Python, and SQL for efficient data processing and analytics.
Integrate data ingestion and transformation workflows leveraging Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
Conduct performance tuning and optimization of AI models and data infrastructure to meet high-availability standards.
RequirementsRequirements:
Minimum of 8 to 12 years of professional experience in data engineering, machine learning, or AI solution architecture.
Proven proficiency in Azure AI Foundry and Microsoft Copilot technologies.
Deep expertise in Natural Language Processing (NLP) and experience implementing RAG architectures.
Strong hands-on knowledge of Vector Databases and Agent Governance principles.
Advanced skills in Azure Databricks, PySpark, Python, and SQL for big data processing.
Demonstrated experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
Ability to design end-to-end AI integration solutions within the IT Services sector.
Compensation package is structured at ₹20 LPA, commensurate with the required skill set and experience level.
Key skills
Required
Apache SparkData EngineeringDatabricksMachine LearningMicrosoft AzureNatural Language Processing (NLP)PythonSQL
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