Senior AI Engineer / AI Architect Engineer

Systems Limited; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A technology solutions provider is seeking experienced candidates with over 6 years in AI, machine learning, and data science. The role involves deploying models using Kubernetes and optimizing performance. Proficiency in Python and cloud platforms is essential. Ideal for those with a track record of delivering impactful solutions. Located in Abu Dhabi, UAE.

Qualifications

• 6+ years of experience in AI, machine learning, or data science.
• Hands-on experience deploying and scaling machine learning models using Kubernetes.
• Proficiency in Python and common ML/Data Science libraries.

Skills

AI experience

Machine learning

Data science

Kubernetes

Model optimization

Python

Cloud platforms (AWS, Azure, GCP)

Job description

Looking for candidates available in UAE only.

Interview mode - Face to Face.

JD:

Technical & Functional Skills

• 6+ years of experience in AI, machine learning, or data science, with a proven track record of delivering high-impact solutions. Leadership or mentorship experience is highly valued.
• Hands-on experience deploying and scaling machine learning models in production using Kubernetes, with a focus on performance and reliability.
• Experience with optimizing model serving, including GPU inferencing and framework-specific performance tuning.
• Deep understanding of model evaluation techniques, A/B testing, and AI explainability methods (e.g., SHAP, LIME).
• Proficiency or experience with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code).
• Experience with automated testing frameworks (e.g., pytest, unittest, pydantic) and CI/CD practices for machine learning.
• Expertise in designing or utilizing Knowledge Graphs, with experience in graph databases such as TigerGraph or Neo4j.
• Familiarity with Reinforcement Learning (RL) concepts and their practical application.
• Proficiency in Python and common ML/Data Science libraries (e.g., scikit-learn, pandas, PyTorch, TensorFlow).
• Experience with LLMs, NLP techniques, and agentic frameworks (e.g., LangChain, CrewAI, Microsoft Agentic Framework, MCP, A2A).
• Strong experience with cloud platforms (AWS, Azure, or GCP).