AI Engineering Lead for Production Solutions

NCS Group

Dubai

On-site

AED 420,000 - 600,000

Full time

6 days ago
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Job summary

NCS Group is seeking a proven AI/ML technical leader to guide cross-functional teams in delivering AI-powered products and MVPs. You will shape architecture, drive capability development, and partner with senior stakeholders to ensure client outcomes.

The role demands excellence in ambiguity and a track record of delivering measurable business value through AI innovations. You will lead teams across research, design, engineering, and delivery, championing responsible AI and scalable practices

Qualifications

  • Education and experience leading AI/ML delivery in production with measurable business impact.
  • Ability to translate business needs into technical execution and roadmaps.
  • Experience guiding large engineering teams and engaging executives.

Responsibilities

  • Lead multidisciplinary teams from problem framing to production-ready AI solutions.
  • Define architecture, tech stack, and delivery approach for complex AI initiatives.
  • Translate challenges into hypotheses, strategies, and execution plans.
  • Oversee AI-enabled solutions with software engineering, orchestration, and automation.
  • Balance speed, quality, security, and business value in architectural trade-offs.
  • Mentor and develop high-performing AI engineering teams.

Skills

Leadership
Strategic Thinking
Mentoring
Stakeholder Management
AI/ML Delivery

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

LangChain
LlamaIndex
MLOps
Docker
Kubernetes

Job description

NCS Group is seeking a proven AI/ML technical leader to guide cross-functional teams in delivering AI-powered products and MVPs. You will shape architecture, drive capability development, and partner with senior stakeholders to ensure client outcomes.

The role demands excellence in ambiguity and a track record of delivering measurable business value through AI innovations. You will lead teams across research, design, engineering, and delivery, championing responsible AI and scalable practices

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