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AI Specialist Engineer

Uniccon Group

Abuja · On-site Full-time 4w ago

About the role

Job title : AI Specialist Engineer Job Location : Abuja Deadline : April 10, 2026 Quick Recommended Links

Job Summary • We are seeking a highly skilled AI Specialist Engineer to design, develop, and deploy advanced artificial intelligence solutions that address complex business challenges. • This role combines technical expertise, leadership capability, and strategic thinking to translate business problems into scalable AI-powered solutions. • The successful candidate will lead the development of machine learning systems and collaborate with engineering teams to integrate AI capabilities into mobile and backend platforms.

Key Responsibilities Technical Leadership: • Lead the architecture, development, and deployment of AI and machine learning solutions. • Design scalable AI systems, including: • Natural Language Processing (NLP) • Machine Learning models • Deep Learning architectures • Generative AI models • Oversee the full AI development lifecycle, including: • Data collection • Data preprocessing • Feature engineering • Model training pipelines • Ensure model optimization, performance tuning, and continuous monitoring in production environments. • Guide the development and implementation of AI APIs and microservices for integration with mobile applications and backend systems.

Required Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. • Minimum of 5+ years of experience in AI/ML development. • At least 2+ years of experience leading or managing technical teams. • Strong proficiency in Python for machine learning and AI development.

Experience working with AI/ML frameworks such as: • TensorFlow • PyTorch • Scikit-learn • Strong understanding of: • Natural Language Processing (NLP) • Deep Learning techniques • Predictive modeling • Experience building and integrating REST APIs with backend systems. • Knowledge of cloud platforms and containerization technologies, including: • Docker • Kubernetes • Experience using Git and CI/CD pipelines for development and deployment workflows.

Preferred Qualifications • Experience working with c onversational AI systems and Large Language Model (LLM) integrations. • Proven experience building production-grade AI applications. • Background in AI research or published AI-related projects. • Knowledge of Edge AI and robotics integration. • Strong analytical thinking and advanced problem-solving capabilities. • Demonstrated experience in mentoring engineers and building AI development teams.

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