Experience : 4+Years
Location : Bareilly
Mandatory Skills : C#, .NET, Azure, Python, LLM, RAG, Mistral, Llama, Azure Foundry, Agent Framework, Agents SDK, Teams, Cosmos DB, App Service, Container Apps, Azure ML, Azure OpenAI, Azure AI Search, REST API.
What You'll Do
- Design & Develop Scalable AI Solutions: Build and optimize the core architecture and components of the AI Network Management Tool on Microsoft Azure, focusing on data ingestion, processing, indexing, and AI model integration.
- Data Pipeline Engineering: Create robust and efficient data pipelines to collect, transform, and store network data and incident information from diverse sources.
- Database Management: Design, implement, and manage highly available and performant database solutions (both relational and NoSQL) for storing processed data and analytics.
- Azure Cloud Infrastructure: Provision, configure, and manage Azure cloud resources (e.g., Azure Functions, Azure Event Hubs, Azure Data Lake Storage, Azure Blob Storage, Azure AI Search, Azure OpenAI Service) using Infrastructure-as-Code (IaC) principles.
- DevOps & MLOps: Implement and maintain CI/CD pipelines for automated testing, deployment, and monitoring of AI models and application components within an Azure DevOps environment.
- AI Model Integration: Integrate and fine-tune Large Language Models (LLMs) from Azure OpenAI Service, including embedding models for vectorization and advanced LLMs (like GPT-4/GPT-4o) for incident analysis, natural language understanding, and response generation within a RAG framework.
- Problem Solving & Optimization: Troubleshoot and resolve complex technical issues, identify performance bottlenecks, and continuously optimize the platform for efficiency, scalability, and cost-effectiveness.
What You'll Bring
- 4+ years of experience in software engineering or platform engineering, with a strong focus on building and deploying scalable solutions.
- Expert-level proficiency in Python for data manipulation, automation, and API integration.
- Strong experience with database technologies, including both relational databases (e.g., Azure SQL Database) and NoSQL databases (e.g., Azure Cosmos DB).
- Hands-on experience with Microsoft Azure Cloud services, including but not limited to Azure Functions, Azure Event Hubs, Azure Storage (Blob/Data Lake), Azure AI Search, and Azure OpenAI Service.
- Solid understanding and practical experience with DevOps principles and tools, particularly Azure DevOps (pipelines, repos) and Git for version control.
- Proven ability to work with large, complex datasets and unstructured text.
- Excellent problem-solving, analytical, and communication skills.
- #, .NET, Azure, Python, LLM, RAG, Mistral, Llama, Azure Foundry, Agent Framework, Agents SDK, Teams, Cosmos DB, App Service, Container Apps, Azure ML, Azure OpenAI, Azure AI Search, REST API.
Job Types: Full-time, Permanent
Pay: ₹1,000,000.00 - ₹1,500,000.00 per year
Benefits:
- Flexible schedule
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
Application Question(s):
- What is your current CTC?
- What is your expected CTC?
- What is your official Notice period?
Experience:
- Azure ML, Azure OpenAI, Azure AI Search, REST API.: 4 years (Preferred)
- AI Solution Engineer: 4 years (Preferred)
- #, .NET, Azure,: 4 years (Preferred)
- Python, LLM, RAG,: 4 years (Preferred)
- Mistral, Llama, Azure Foundry, Agent Framework, Agents SDK: 4 years (Preferred)
- Teams, Cosmos DB, App Service, Container Apps: 4 years (Preferred)
Location:
- Bareilly, Uttar Pradesh (Preferred)
Work Location: In person
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