TL;DR
AI/ML Engineer (AI): Building and scaling AI/ML infrastructure and pipelines for an AI-powered decision intelligence platform with an accent on turning models into reliable, scalable products and ensuring production readiness. Focus on designing and implementing end-to-end ML pipelines, contributing to AI/ML infrastructure, and setting technical direction for enterprise AI solutions.
Location: Hybrid in Dubai. Applicants must already have the legal right to work in Spain.
Company
hirify.global is a B2B SaaS company building an AI-powered decision intelligence app for enterprises to democratize AI in business.
What you will do
- Partner with Data Scientists and Engineers to bring AI solutions to production.
- Design and implement end-to-end ML pipelines (data→model→deployment→monitoring) autonomously.
- Contribute to APIs, tools, and libraries used by AI team members, including Cloud & LLM Infrastructure.
- Own complex projects and lead technical initiatives from design to implementation (Senior/Principal).
- Shape AI Platform strategy and be a technical reference for Aily’s AI team (Principal).
- Lead cross-team design sessions, define, enforce, and maintain org-wide standards (Principal).
Requirements
- Solid AI/ML fundamentals and strong Python skills.
- Experience with APIs, Kubernetes, Docker, and Cloud platforms.
- Strong software engineering practices and deep AI/ML knowledge (Senior/Principal).
- Outstanding problem-solving skills and ability to lead and mentor junior team members (Senior/Principal).
- Mastery in modern AI/ML stack (AWS, FastAPI, Docker, K8s, Python, CI/CD, Airflow, Agentic coding, concurrency) (Principal).
- Applicants must already have the legal right to work in Spain.
Nice to have
- Startup mindset: comfortable with ambiguity, proactive, hands-on, and willing to improve things beyond your immediate scope.
Culture & Benefits
- Impact-driven environment at the intersection of AI, business, ML engineering, and product.
- Opportunity to build real systems that power decision-making at scale.
- Strong collaboration with Data Scientists, Product Managers, and Engineers.
- Empowering business-critical decision-making for enterprise users.
- Team focused on innovation, minimizing entropy, and accelerating progress for Aily.
- Opportunity to "Lead Boldly" and scale AI systems for faster, smarter decisions.
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