AI Engineer
PACE NigeriaAbout the role
AI Engineer – Role Description & Qualifications
Role Overview
The AI Engineer is responsible for designing, developing, deploying, and optimizing artificial intelligence solutions that enhance products, automate business processes, and support data-driven decision-making. This role works at the intersection of software engineering, machine learning, and data science to build intelligent systems capable of solving complex business challenges. The position requires strong technical expertise, analytical thinking, and collaboration with cross-functional teams to deliver scalable and reliable AI-powered applications.
Key Responsibilities
- Design, develop, and deploy artificial intelligence and machine learning solutions for business and product applications.
- Build, train, evaluate, and optimize machine learning models using structured and unstructured data.
- Develop data processing pipelines to prepare, transform, and validate datasets for model development.
- Integrate AI models into software applications, APIs, and production environments.
- Monitor model performance and implement improvements to maintain accuracy, reliability, and scalability.
- Collaborate with data scientists, software engineers, and product teams to translate business requirements into AI solutions.
- Conduct experiments, analyze results, and document methodologies and findings.
- Implement best practices for model versioning, testing, deployment, and lifecycle management.
- Ensure AI solutions meet security, privacy, and quality standards throughout development and deployment.
- Stay informed about emerging AI technologies, research, and industry trends to identify opportunities for innovation.
Qualifications and Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, or a related technical field.
- Experience in machine learning, artificial intelligence, software engineering, or data engineering is preferred.
- Strong understanding of machine learning algorithms, statistical modeling, and data processing techniques.
- Proficiency in one or more programming languages commonly used for AI development.
- Experience with machine learning frameworks, model deployment, and API integration is an advantage.
- Knowledge of databases, cloud platforms, and software development best practices.
- Strong analytical, mathematical, and problem-solving abilities.
- Excellent communication and collaboration skills for working with multidisciplinary teams.
- High attention to detail and commitment to developing reliable, maintainable AI solutions.
- Self-motivated, adaptable, and committed to continuous learning in the rapidly evolving field of artificial intelligence.
Summary
The AI Engineer plays a critical role in developing intelligent technologies that improve efficiency, automate complex processes, and create innovative digital solutions. This position offers opportunities to work with advanced AI technologies, contribute to impactful projects, and continuously expand technical expertise while shaping the future of intelligent software systems.
Responsibilities
- Design, develop, and deploy artificial intelligence and machine learning solutions for business and product applications.
- Build, train, evaluate, and optimize machine learning models using structured and unstructured data.
- Develop data processing pipelines to prepare, transform, and validate datasets for model development.
- Integrate AI models into software applications, APIs, and production environments.
- Monitor model performance and implement improvements to maintain accuracy, reliability, and scalability.
- Collaborate with data scientists, software engineers, and product teams to translate business requirements into AI solutions.
- Conduct experiments, analyze results, and document methodologies and findings.
- Implement best practices for model versioning, testing, deployment, and lifecycle management.
Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, or a related technical field.
- Experience in machine learning, artificial intelligence, software engineering, or data engineering is preferred.
- Strong understanding of machine learning algorithms, statistical modeling, and data processing techniques.
- Proficiency in one or more programming languages commonly used for AI development.
- Experience with machine learning frameworks, model deployment, and API integration is an advantage.
- Knowledge of databases, cloud platforms, and software development best practices.
- Strong analytical, mathematical, and problem-solving abilities.
- Excellent communication and collaboration skills for working with multidisciplinary teams.
Skills mentioned
About PACE Nigeria
The Partnership for Agile Governance and Climate Engagement (PACE) is a transformative 48-month programme funded by UK International Development, aimed at enhancing governance and climate resilience in Nigeria. By adopting a Whole-of-Society Approach, PACE mobilises diverse stakeholders—including government, civil society, the private sector, and local communities—to collaboratively address the complex challenges of climate change and governance. Key Objectives: • Empower Citizens: Ensure active citizen engagement in policy-making and delivery. • Strengthen Institutions: Enhance accountability and responsiveness of governance structures, particularly for marginalised groups. • Mobilise Resources: Promote transparent management of public finances and increase internally generated revenue. • Improve Performance: Deliver critical services in health, education, and social protection with effective resource management. Strategic Initiatives: • Issue-Based Coalitions: Foster collaboration among reformers to tackle governance and climate issues through targeted projects. • Governance Capability: Address critical challenges such as reliance on oil revenues and lack of transparency to promote equitable resource access. • Research and Learning: Utilise evidence-based decision-making to inform strategies and advocacy efforts. • Strategic Opportunities Fund: Respond flexibly to emerging political opportunities for impactful interventions. Implemented in Kaduna, Kano, Jigawa, and the Federal PACE, this initiative draws on over two decades of governance reform experiences in Nigeria, aiming to influence change across all 36 states. Join us in fostering a more accountable and climate-resilient Nigeria!