Growth Partner Intermediaries Limited is a dedicated HR consulting firm committed to delivering comprehensive human resource solutions to businesses. Our services span recruitment, outsourcing, headhunting, training, people operations and advisory. We exist to empower organizations to focus on their core operations while we expertly handle their HR needs, ensuring efficiency, growth, and people-centredsuccess.

We are recruiting to fill the position below:

Job Title: AI / ML Routing Engineer

Location: Ikoyi, Lagos,
Employment Type: Full-time
Report To: CEO

About the Role

• We are seeking an AI/ML Routing Engineer to design intelligent routing algorithms that optimize traffic flow across our distributed mesh network. This role will leverage reinforcement learning and optimization systems to ensure dynamic, adaptive connectivity.

Key Responsibilities

• Develop AI-driven routing optimization models.
• Implement traffic prediction and congestion avoidance algorithms.
• Design dynamic path selection and load balancing strategies.
• Build data pipelines to support real-time decision-making.
• Collaborate with systems engineers to integrate AI models into production.

Requirements
Qualification and Experience:

• Interested candidates should possess a Master’s Degree with 10-15 years experience.

Core Skills:

• Reinforcement learning and applied AI techniques.
• Optimization systems for large-scale networks.
• Network intelligence and adaptive routing.
• Data engineering and pipeline development.

Ideal Background:

• Experience applying AI/ML to networking or distributed systems.
• Strong background in reinforcement learning and optimization.
• Ability to bridge theoretical models with production-grade systems.

What We Offer

• Competitive compensation with equity opportunities.
• Chance to apply AI/ML to real-world, high-impact networking problems.
• Access to cutting-edge infrastructure and datasets.
• Collaborative environment with cross-disciplinary experts.
• Career growth in a pioneering technology company.

Application Closing Date
31st May, 2026.