Job at a Glance
- 📍 Location: Dubai, United Arab Emirates
- 🏢 Company: Omnix International
- 💼 Employment Type: Contract
- 📊 Seniority: Associate
- 🏭 Industry: IT Services and IT Consulting and Software Development
- 📅 Date Posted: 2026-08-10
- 🌐 Category: Artificial Intelligence
About the Role & Company
Omnix International is bringing a Senior AI/ML Engineer on board in Dubai, United Arab Emirates. The role sits inside a Artificial Intelligence team that’s actively expanding its footprint in the region. Career-wise, joining a growing team beats a static one; there’s more room to shape scope early. Day-to-day you’d be working across the scope typical of a Senior AI/ML Engineer — a mix of delivery and stakeholder work. The UAE market for artificial intelligence talent hasn’t cooled — compensation is competitive and net pay stays high thanks to the tax setup. It’s a solid entry point for candidates who want regional exposure without giving up ownership of real work — you’re contributing, not observing.
Key Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data
- Comfort with master’s degree in AI, Machine Learning, Data Science, or Computer Science is preferred
- Relevant experience and continuous professional development in AI technologies will be
- Practical grasp of experience using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
- Real-world 5+ years of software or AI/ML engineering experience
- Practical grasp of 3+ years building and operating production AI solutions
- Experience with enterprise AI governance, cloud platforms, and secure AI development
Job Description
Design, build, deploy, and support enterprise AI solutions leveraging Machine Learning, Generative AI, and Agentic AI. The role focuses on delivering scalable, secure, and governed AI systems while ensuring operational excellence, compliance, and accountable AI practices across the entire AI lifecycle.
AI & ML Engineering · Build, deploy, and optimize machine learning and deep learning models. · Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation. · Integrate AI services into enterprise applications and internal platforms.
Generative AI · Build LLM-based applications, AI copilots, and RAG solutions. · Put in place prompt engineering, model evaluation, embeddings, and semantic search. · Optimize model performance, scalability, and cost. Agentic AI · Design and deploy autonomous and multi-agent AI systems. · Build agent orchestration, planning, reasoning, memory, and tool integration. · Put in place human-in-the-loop approvals and enterprise workflow automation.
AI Operations (MLOps / LLMOps / AgentOps) · Build CI/CD pipelines for AI models and agents. · Monitor AI systems for performance, drift, hallucinations, security, and reliability. · Handle model versioning, deployment, observability, and lifecycle operations.
AI Governance & Accountable AI · Put in place AI governance, model risk management, and Accountable AI practices. · Keep up model documentation, validation, audit readiness, and compliance. · Make sure fairness, traceability, maintainability, privacy, and regulatory adherence. Agent Governance & Security · Govern AI agent lifecycle, identity, access, and runtime controls. · Put in place guardrails, audit logging, and secure integration with enterprise systems. · Protect AI solutions against prompt injection, data leakage, and adversarial attacks. Teamwork · Work with business, engineering, security, and architecture teams to deliver AI solutions. · Mentor team members and promote AI engineering standards and best practice
AI & Machine Learning · Machine Learning, Deep Learning, NLP, Computer Vision · Predictive Analytics, Feature Engineering, Model Optimization
ATS Resume Tips for This Role
To get past Applicant Tracking Systems (ATS) for this Senior AI/ML Engineer opening, tailor your resume with the pointers below:
- Include these keywords verbatim in your Skills and Experience sections: Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, LLM, Computer Vision, MLOps, SQL. ATS parsers match exact strings, not synonyms.
- Use a single-column layout. Two-column resumes break parsers — text gets scrambled or dropped.
- Save as .docx or standard .pdf (not scanned/image PDF). Avoid text boxes, headers, footers, graphics.
- Use standard section headings: Experience, Education, Skills, Certifications.
- Mirror the exact job title (Senior AI/ML Engineer) in your target role line where truthful.
- Quantify results with numbers, percentages, currency. Metrics improve ATS scoring and human review.
- Spell acronyms out once (e.g., Search Engine Optimization (SEO)) so parser catches both forms.
- Font: Arial, Calibri, or Times New Roman at 10-12pt. Fancy fonts can render as unreadable glyphs.
Top 10 Interview Questions for This Role
- Walk me through your background and why you’re interested in this role.
- Describe a challenging project you owned end-to-end. What was the outcome?
- Tell me about a time you disagreed with a stakeholder. How did you handle it?
- How do you prioritize when everything on your plate feels urgent?
- How do you decide between fine-tuning a model vs. prompt engineering?
- Explain overfitting to a non-technical stakeholder.
- Walk through your data validation pipeline for training data.
- How do you evaluate model performance beyond accuracy?
- Describe your MLOps setup — from experimentation to production.
- How do you handle model drift once a system is in production?
How to Apply
#DubaiJobs #AIJobs #ArtificialIntelligence #Hiring #DubaiAI #JobAlert #Get9to5Jobs
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