We are hiring AI Engineer with below requirements;
Key Responsibilities
- Microsoft Azure certification(s) such as DP-203, AI Engineer Associate, or Azure Solutions Architect.
- Experience with large-scale AI implementations in enterprise environments.
- Exposure to vector databases and LLM integration for AI-powered search and analytics.
- Design, build, and optimize data pipelines and workflows to support AI and analytics initiatives.
- Work hands-on with Copilot Studio for AI-driven application development and automation.
- Implement AI Foundry solutions on Microsoft Azure, ensuring scalable, secure, and cost-effective architecture.
- Develop and deploy RAGs (Retrieval-Augmented Generation) solutions for enterprise AI use cases.
- Collaborate with data scientists, solution architects, and business stakeholders to deliver AI-enabled data products.
- Manage and optimize data storage, integration, and retrieval strategies across structured and unstructured data sources.
- Ensure best practices in data governance, security, and compliance within Azure cloud infrastructure.
- Hands-on expertise in Microsoft Azure services (Data Factory, Databricks, Synapse, Cognitive Services, AI Foundry, etc.).
- Practical implementation experience with Copilot Studio.
- Proven experience in RAGs (design, creation, and deployment).
- Strong programming/scripting knowledge (Python, SQL, PySpark, etc.).
- Experience with ETL/ELT, data warehousing, and API integrations.
- Good understanding of MLOps and AI deployment frameworks.
- Strong problem-solving skills, ability to work in fast-paced environments, and excellent communication skills.
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