GenAI Platform Lead
DeepLight AI
Employment Type
Full Time
Location
Abu Dhabi
Requirements
Required Skills
Job Description
Responsibilities
- Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions.
- Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions.
- Leading "Infrastructure as Code" (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency.
- Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy.
- Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing.
- Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools.
- Organizing and supervising team activities, ensuring targets are met in line with ADCB’s policies and continuous improvement initiatives.
- Supporting, Coaching and Mentoring more junior members of the team, when required
- Additional responsibilities on occasion, on management request
Requirements
- Minimum of 5 years in designing and deploying AI/ML solutions on Azure.
- Bachelor’s degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field.
- Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred.
- Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance).
- Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints.
- Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps.
- Advanced expertise in Terraform for automating complex cloud architectures.
- Strong grasp of secure cloud networking and secret management (Azure Key Vault).
- Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark.
Preferred Qualifications
- Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios.
- Ability to optimize cloud spend while maintaining high availability and performance.
- Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview.
- Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads.
Benefits
- Competitive salary.
- Visa Sponsorship for the successful individual.
- Comprehensive health insurance for the successful individual.
- Professional development and certification support.
- Opportunity to work on cutting-edge AI projects.
- Career advancement opportunities in a rapidly growing AI company.
About the Company
DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
How to Apply
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