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Deeplight AI Tech Stack

AI adoption consulting with hands-on data and MLOps implementation

IT Services and IT Consulting Dubai 51–200 employees Privately Held

Deeplight is an AI adoption consultancy in Dubai built around implementation depth: the stack spans full ML infrastructure (Kubernetes, Airflow, MLflow, SageMaker, Vertex AI) plus data foundations (Kafka, PostgreSQL, dbt, lakehouse patterns). Active hiring skews heavily toward data and engineering roles with senior-level dominance, and current projects cluster around lakehouse migrations and MLOps pipelines—signaling the firm moves beyond strategy workshops into production delivery. Recent RAG adoption aligns with their banking and financial-services pipeline work.

Tech Stack 82 technologies

Core StackKubernetes Terraform Helm Ansible Docker Linux Python Go TensorFlow PyTorch Hugging Face Kubeflow Prometheus Grafana Elasticsearch TypeScript AWS Apache Airflow dbt Kafka PostgreSQL MLflow Weights & Biases Vertex AI SageMaker LangChain Bash Ray GCP Azure+52 more

AdoptingRAG

What Deeplight AI Is Building

◆Challenges

Integrating ai into banking workflows
Model performance uncertainty
Ensuring data contract compliance
Large-scale financial services transformations
Ensuring ai product reliability
Aggressive migration targets
Reducing costs and improving latency
Modernising enterprise data ecosystems
Complex enterprise lakehouse implementations
Turning advanced research into production-ready solutions

▲Active Projects

Ci/cd pipelines for ml lifecycle
Scalable data models and semantic layers within lakehouse architectures
Mlops model deployment
Mobile internet banking ai projects
Migrating source tables to bronze layer
Rag pipeline validation
Apache iceberg table standards
Scalable data solutions using lakehouse architecture
Medallion architecture roadmap
Optimizing glue job performance

Hiring Activity

Accelerating40 roles · 20 in 30d

Department

Data

16

Engineering

13

Product

2

Seniority

Senior

19

Mid

7

Lead

5

Notable leadership hires: Project Lead

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About Deeplight AI

Deeplight guides enterprises through AI adoption from readiness assessment through production deployment. The consultancy serves large financial institutions and banking clients navigating complex digital transformations. Service lines include executive coaching, current-state assessments, data-readiness initiatives, use-case workshops, and custom model design. Operations are based in Dubai and currently hiring across data, engineering, and product functions, concentrated in the UAE.

HeadquartersDubai

Company Size51–200 employees

Hiring MarketsUnited Arab Emirates

Frequently Asked Questions

What tech stack does Deeplight AI use?

Core stack: Kubernetes, Terraform, Python, TensorFlow, PyTorch, AWS/GCP/Azure, Apache Airflow, dbt, Kafka, PostgreSQL, MLflow, and Vertex AI/SageMaker for model deployment. Recently adopting RAG for pipeline work.

What is Deeplight AI working on?

Current projects: lakehouse architecture and medallion migrations, MLOps pipelines and model deployment, CI/CD for ML lifecycle, RAG pipeline validation, and data contract compliance—primarily for banking and financial services clients.