Description

Mandatory Skills:
✅ Data Architecture
✅ AI Architecture
✅ Ontology Framework
✅ Graph Databases / Graph DB
✅ MLOps Architecture
✅ Data Governance
✅ AI/ML & GenAI Architecture

🛠️ Key Responsibilities:
• Define end-to-end architecture for AI/ML and GenAI solutions
• Build AI applications using structured & unstructured enterprise data
• Design scalable Data Lake / Data Warehouse / Lakehouse platforms
• Architect data pipelines and ETL/ELT processes
• Enable RAG, LLM and advanced analytics use cases
• Design and implement MLOps pipelines for deployment, monitoring and governance
• Ensure data quality, security, governance and compliance
• Collaborate with business, data and technology teams to deliver AI solutions.

💡 Required Technical Expertise:
🔹 Strong experience in AI/ML + Data Architecture
🔹 Data platforms, ETL/ELT & Big Data
🔹 Apache Spark, Kafka
🔹 Python & SQL
🔹 ML frameworks and AI technologies
🔹 GenAI, LLMs & Vector Databases
🔹 Cloud: Azure / AWS / GCP
🔹 MLOps architecture and implementation
🔹 Data Governance & Data Quality
🔹 Experience designing AI applications over enterprise data layers

Key Skills

Education

Bachelor's degree