Job Description

Job Role:-AI / GenAI & Lakehouse Applications Engineer


Job Location:- Abu Dhabi, UAE


Experience:-5+ Years


Role Summary

Enable and operationalize production-grade AI, Generative AI, and Lakehouse Applications on Databricks, ensuring governance, scalability, security, and alignment with enterprise data intelligence standards.

Key Responsibilities
  • Implement ML lifecycle management using MLflow (experiment tracking, model registry, controlled promotion)
  • Design and manage Feature Store assets with proper versioning, reuse, and governance
  • Enable Generative AI workloads including prompt management, embeddings, and inference patterns
  • Build and deploy Lakehouse Applications for governed AI and analytics consumption
  • Implement conversational analytics solutions with secure and semantically consistent access
  • Design scalable inference architectures for real-time and batch workloads
  • Monitor model performance, feature drift, and data drift
  • Ensure AI/GenAI workloads comply with governance policies and access controls
Secondary Responsibilities
  • Integrate AI workflows into CI/CD pipelines and orchestration frameworks
  • Collaborate with Platform and DataOps teams for cost, scalability, and reliability optimization
  • Communicate AI risks, limitations, and governance considerations to stakeholders
Required Skills & Experience
  • Strong hands-on experience with MLflow and ML lifecycle management
  • Experience with Feature Store concepts and governed feature engineering
  • Exposure to Generative AI concepts (LLMs, embeddings, prompt engineering)
  • Experience deploying scalable batch and real-time inference solutions
  • Understanding of data governance, access control, and secure AI deployment
  • CI/CD and production AI operations experience


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: United Arab Emirates City: Abu Dhabi
Company Website: https://epergnesolutions.com/ Job Function: Engineering
Company Industry/
Sector:
IT Services and IT Consulting

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