AI/ML Architect

Dubai, Dubai, United Arab Emirates

Deeplight

Deeplight is the first all-in-one digital risk prediction, prevention and cyber insurance coverage platform. Cyber Insurance that's accessible, affordable and right for your business.

View all jobs at Deeplight

Apply now Apply later

About DeepLight AI: DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

We are seeking an experienced AI/ML Architect to lead the design, development, and deployment of scalable, high-impact machine learning systems. This role sits at the core of our AI initiatives, guiding both strategy and implementation across advanced models, cloud infrastructure, and MLOps practices.

You’ll work cross-functionally with data scientists, engineers, and stakeholders to architect production-ready AI solutions using the latest in deep learning, large language models, and retrieval-augmented generation. This is a leadership opportunity to shape the AI roadmap and drive innovation within a fast-paced environment.

Requirements

  • 7+ years of experience in machine learning, data science, or AI solution architecture
  • Proven track record deploying ML systems into production at scale
  • Deep understanding of ML algorithms, statistical methods, and LLM architectures
  • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
  • Experience with MLOps tools and cloud services (AWS/GCP/Azure)
  • Strong grasp of vector databases (FAISS, Pinecone, Weaviate) and prompt engineering
  • Experience with LoRA, QLoRA, or other fine-tuning strategies for foundation models

Responsibilities

  • Architect end-to-end AI/ML pipelines from data ingestion to deployment and monitoring
  • Design and integrate scalable LLM and deep learning systems across cloud and hybrid platforms
  • Evaluate ML model approaches including fine-tuning (LoRA, QLoRA) and pre-training methodologies
  • Lead MLOps strategy (CI/CD for models, monitoring, retraining pipelines) using modern tools (e.g., MLflow, Kubeflow)
  • Guide adoption of vector databases and RAG frameworks for real-time inference at scale
  • Partner with product and engineering to convert business needs into AI solutions
  • Set technical direction, mentor team members, and evangelize best practices in model development
  • Ensure ethical AI deployment, data governance, and regulatory compliance

Benefits

Benefits & Growth Opportunities:

·       Competitive salary and performance bonuses

·       Comprehensive health insurance

·       Professional development and certification support

·       Opportunity to work on cutting-edge AI projects

·       International exposure and travel opportunities

·       Flexible working arrangements

·       Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  4  0

Tags: Architecture AWS Azure CI/CD Data governance Deep Learning Engineering FAISS GCP Kubeflow LLMs LoRA Machine Learning MLFlow ML models MLOps Pinecone Pipelines Prompt engineering Python PyTorch RAG Statistics TensorFlow Weaviate

Perks/benefits: Career development Competitive pay Flex hours Health care Startup environment

Region: Middle East

More jobs like this