130 AI Software Engineer jobs in Nigeria

Today

C

Rest of Nigeria (Niger) Full Time

IT & Telecoms Confidential

• Minimum Qualification :

About the Project:

Centrovance AI is an ambitious EdTech initiative designed to revolutionize assessment, recruitment, and corporate training . Our platform leverages artificial intelligence to automate testing, grading, and interviews — making them smarter, faster, and more secure.

Role Overview:

We are looking for a Lead AI/ML Engineer to spearhead the design, development, and deployment of our AI models. This is a leadership role that requires both technical depth and vision, as you'll guide the AI strategy and collaborate with a multidisciplinary team of developers, designers, and specialists.

Key Responsibilities:

• Design and implement AI/ML models for automated grading, feedback, and facial recognition.
• Develop algorithms for cheat detection, device monitoring, and performance analytics.
• Collaborate with backend ) and frontend teams to integrate AI solutions.
• Lead experimentation, testing, and optimization of AI features.
  Provide technical leadership and mentorship to junior engineers.

Qualifications:

• Strong background in Machine Learning, Deep Learning, and Computer Vision.
• Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with AI model deployment (cloud/offline environments).
• Familiarity with NLP and education/recruitment technology is a plus.
  Leadership experience or proven ability to manage projects and mentor others.

What We Offer:

• Opportunity to lead AI innovation in one of the fastest-growing EdTech projects.
• Collaborative, mission-driven team environment.
  Early-stage influence with potential for leadership growth.

Interested candidates can reach out via LinkedIn or contact us directly at

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Today

D

Abuja Full Time

IT & Telecoms Confidential

• Minimum Qualification :
• Experience Level : Mid level
• Experience Length : 3 years

Job Summary

We are looking for a highly skilled Artificial Intelligence (AI) Engineer to design, develop, and deploy AI-driven solutions that enhance our clients' digital transformation initiatives at Data2Bots. You will be responsible for building machine learning models, developing AI algorithms, and integrating AI capabilities into diverse client systems across multiple industries. This role is ideal for someone who enjoys problem-solving, has strong software engineering fundamentals, and is passionate about turning complex data into real-world business applications that drive measurable client outcomes.

Key Responsibilities

• Design, develop, and implement AI models, machine learning algorithms, and deep learning solutions tailored to specific client requirements and business objectives.
• Train and fine-tune machine learning models using large, complex datasets to improve accuracy and performance and deliver actionable business insights.
• Build and optimize AI-driven applications, including natural language processing (NLP), computer vision, recommendation systems, predictive analytics, and intelligent automation solutions.
• Develop and integrate AI models into cloud-based and edge computing environments, ensuring seamless deployment across client infrastructures.
• Work with structured and unstructured data from diverse sources, applying advanced data preprocessing, feature engineering, and data augmentation techniques.
• Collaborate with cross-functional teams, including data scientists, software engineers, DevOps specialists, and business analysts, to align AI solutions with client business objectives and technical requirements.
• Deploy AI models to production environments, monitor their performance in real-world scenarios, and continuously improve them based on client feedback and evolving business needs.
• Research and stay up-to-date with the latest AI advancements, frameworks, and industry best practices to enhance Data2Bots' AI capabilities and competitive advantage.
• Optimize AI models for efficiency, scalability, cost-effectiveness, and real-time processing to meet demanding client performance requirements.
• Ensure AI models adhere to ethical AI principles, fairness standards, bias mitigation techniques, and responsible AI deployment practices across all client engagements.
• Participate in client meetings, technical presentations, and solution demonstrations to communicate AI capabilities and project outcomes effectively.
• Mentor junior team members and contribute to Data2Bots' knowledge base through documentation, best practices, and technical guidelines.

Required Skills & Qualifications

• Bachelor's or master's degree in computer science, artificial intelligence, machine learning, data science, or a related technical field.
• Minimum 3-5 years of proven experience in AI/ML model development, training, and production deployment in business environments.
• Expert-level proficiency in Python with extensive experience in AI/ML development; knowledge of R, Java, or Scala is advantageous.
• Hands-on experience with machine learning frameworks, including TensorFlow, PyTorch, Scikit-learn, Keras, and Hugging Face Transformers.
• Strong understanding of deep learning architectures, NLP techniques, computer vision applications, reinforcement learning, and generative AI models (GPT, BERT, CNNs, RNNs, Transformers).
• Extensive experience working with cloud platforms (AWS SageMaker, Azure ML Studio, GCP AI Platform) for AI model deployment and management.
• Knowledge of big data technologies such as Apache Spark, Hadoop, Kafka, or distributed computing frameworks for handling large-scale datasets.
• Experience with MLOps tools and practices, including MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines for model monitoring, retraining, and continuous deployment.
• Strong analytical and problem-solving skills with demonstrated ability to translate business requirements into technical AI solutions.
• Excellent communication and teamwork skills, with proven ability to explain complex AI concepts to both technical and non-technical stakeholders in client-facing environments.
• Experience working in consulting or client services environments with ability to manage multiple projects simultaneously.
• Demonstrated track record of delivering AI projects from conception to production deployment.

Preferred Qualifications

• Experience in deploying AI models in real-world applications such as intelligent chatbots, fraud detection systems, predictive analytics platforms, document processing automation, recommendation engines, and computer vision solutions.
• Familiarity with AI ethics frameworks, model interpretability tools (SHAP, LIME), explainable AI techniques, and bias mitigation strategies.
• Knowledge of edge AI deployment, IoT applications, and mobile AI optimization techniques.
• Experience with specific industry domains, including finance, healthcare, retail, manufacturing, telecommunications, or government sectors.
• Contributions to AI research publications, open-source AI projects, or technical community initiatives.
• Experience with modern data engineering tools and practices, including data lakes, data warehouses, and streaming data processing.
• Knowledge of API development, microservices architecture, and system integration for AI applications.
• Familiarity with agile development methodologies and project management tools used in consulting environments.
• Experience mentoring technical teams or leading AI initiative implementations.
  Certifications in cloud AI services (AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer) or relevant AI/ML specializations.

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We are hiring at TheRetina Labs

TheRetina Labs is expanding, and we're looking for passionate, driven, and creative individuals to join our team. This is your opportunity to be part of a company that's reimagining the boundaries of computer vision and artificial intelligence.

At TheRetina Labs, we're building systems that can see, understand, and interact with the world in ways that feel truly human. Our mission is to shape the future of intelligent technology bridging perception, reasoning, and action into one seamless experience.

We're searching for people who are not afraid to think differently, challenge assumptions, and push limits. Whether you're an engineer, designer, researcher, or innovator, your ideas and expertise can help define the next chapter of visual intelligence.

Organization

• UN Office for the Coordination of Humanitarian Affairs

Posted 22 Aug 2025 Closing date 4 Sep 2025

Work Location
in the Hague, in person / Hybrid or Remote

Expected duration
3 months extendable

Duties And Responsibilities
These are internship positions which are located in Office for the Coordination of Humanitarian Affairs (OCHA) in the Hague, in person / Hybrid or Remote. OCHA is the part of the United Nations Secretariat responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. OCHA also ensures there is a framework within which each actor can contribute to the overall response efforts. OCHA's mission is to mobilize and coordinate effective and principled humanitarian action in partnership with national and international actors in order to alleviate human suffering in disasters and emergencies; advocate the rights of people in need; promote preparedness and prevention and facilitate sustainable solutions. The internship is within the Digital Services Section (DSS). Within OCHA, DSS is dedicated to developing and maintaining innovative technology solutions that support the humanitarian community. The team plays a critical role in facilitating a rapid, effective, and principled response to crises, guided by humanitarian principles. Operating around the clock, DSS ensures that vital information is collected, processed, and disseminated efficiently. The team's work is pivotal in extending the reach of humanitarian aid, addressing increasing needs, drawing attention to overlooked crises, and providing decision-makers with timely and reliable information. We are seeking a motivated and passionate intern to join our team to support the internal AI community building initiative at OCHA. Key Responsibilities: Research and Analysis: 1. Conduct research on emerging AI trends, tools, and best practices relevant to OCHA's work. 2. Prepare internal papers, reports and/or presentations on these topics. Share findings through online engagement (online discussions, presentations, etc.). Content Development and Management: 1. Collaborate with OCHA teams to gather and share insights on AI projects and initiatives. 2. Develop and maintain content for the OCHA AI Intranet site, including policies, guidance, use cases, and project updates. Rapid Prototyping and Experimentation: 1. Explore and test emerging AI tools and approaches through quick, low-effort prototypes (e.g. vibe coding). 2. Contribute to the development and refinement of a Prompt Catalogue to support effective use of generative AI across OCHA. 3. Document learnings from experiments and share insights with the OCHA-AI community to inform future development and adoption. 4. Collaborate with teams to identify practical use cases for AI tools and assess their feasibility through rapid testing. Community Engagement and Support: 1. Support the identification of sustainable activities to help ensure long-term engagement of the OCHA-AI community of practice 2. Contribute updates and other communication materials to keep the OCHA-AI community informed and engaged. 3. Support the community focal point(s) with AI-related inquiries and support within the organization. 4. Support the organization and coordination of regular meetings, workshops, and webinars to promote AI knowledge sharing and collaboration. Training and Capacity Building: 1. Identify and promote opportunities for staff to participate in AI-related training and development programs. This may be done via the OCHA-AI Intranet site/community and/or OCHA's Learning platform. 2. Time permitting, produce short summaries / videos of how AI-approved tools can be used to aid OCHA staff in their work.

Qualifications/special Skills
Applicants must meet one of the following requirements: (a) be enrolled in, or have completed, a graduate school programme (second university degree or equivalent, or higher); (b) be enrolled in, or have completed, the final academic year of a first university degree programme (minimum bachelor's degree or equivalent). Applicants to the UN Internship Programme are not required to have professional work experience. However, a field of study that is closely related to the type of internship that you are applying for is required. Do you meet any of the above criteria? If yes, please indicate which one and attach proof to the application. Please note that you will have to provide an official certificate at a later stage. Applicants should have good knowledge of standard software applications, especially MS Word, MS PowerPoint, and MS Teams.

Languages
English and French are the working languages of the United Nations Secretariat. Fluency in spoken and written English is required for the internship.

Additional Information
Competencies: The United Nations Core Competencies include: 1. Communication: Ability to draft clearly and concisely, good written and oral language skills. 2. Teamwork: Good interpersonal skills, ability to work collaboratively with colleagues from different national and cultural backgrounds to achieve organizational goals. 3. Client Orientation: Considers all those to whom services are provided to be 'clients' and seeks to see things from clients' point of view. 4. Technological Awareness: Keeps abreast of available technology; Understands applicability and limitations of technology to the work of the office; Actively seeks to apply technology to appropriate tasks; Shows willingness to learn new technology. Assessment: Potential candidates may be contacted for interview.

Intern Specific text
Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer.

No Fee
THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS' BANK ACCOUNTS.

How to apply

Apply Now

Job details

Source

• UN Office for the Coordination of Humanitarian Affairs

Type

• Internship

Career category

• Information and Communications Technology

Years of experience

• 0-2 years

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Job Summary

We are looking for a highly skilled Artificial Intelligence (AI) Engineer to design, develop, and deploy AI-driven solutions that enhance our clients' digital transformation initiatives at Data2Bots. You will be responsible for building machine learning models, developing AI algorithms, and integrating AI capabilities into diverse client systems across multiple industries. This role is ideal for someone who enjoys problem-solving, has strong software engineering fundamentals, and is passionate about turning complex data into real-world business applications that drive measurable client outcomes.

Key Responsibilities

• Design, develop, and implement AI models, machine learning algorithms, and deep learning solutions tailored to specific client requirements and business objectives.
• Train and fine-tune machine learning models using large, complex datasets to improve accuracy and performance and deliver actionable business insights.
• Build and optimize AI-driven applications, including natural language processing (NLP), computer vision, recommendation systems, predictive analytics, and intelligent automation solutions.
• Develop and integrate AI models into cloud-based and edge computing environments, ensuring seamless deployment across client infrastructures.
• Work with structured and unstructured data from diverse sources, applying advanced data preprocessing, feature engineering, and data augmentation techniques.
• Collaborate with cross-functional teams, including data scientists, software engineers, DevOps specialists, and business analysts, to align AI solutions with client business objectives and technical requirements.
• Deploy AI models to production environments, monitor their performance in real-world scenarios, and continuously improve them based on client feedback and evolving business needs.
• Research and stay up-to-date with the latest AI advancements, frameworks, and industry best practices to enhance Data2Bots' AI capabilities and competitive advantage.
• Optimize AI models for efficiency, scalability, cost-effectiveness, and real-time processing to meet demanding client performance requirements.
• Ensure AI models adhere to ethical AI principles, fairness standards, bias mitigation techniques, and responsible AI deployment practices across all client engagements.
• Participate in client meetings, technical presentations, and solution demonstrations to communicate AI capabilities and project outcomes effectively.
• Mentor junior team members and contribute to Data2Bots' knowledge base through documentation, best practices, and technical guidelines.

Required Skills & Qualifications

• Bachelor's or master's degree in computer science, artificial intelligence, machine learning, data science, or a related technical field.
• Minimum 3-5 years of proven experience in AI/ML model development, training, and production deployment in business environments.
• Expert-level proficiency in Python with extensive experience in AI/ML development; knowledge of R, Java, or Scala is advantageous.
• Hands-on experience with machine learning frameworks, including TensorFlow, PyTorch, Scikit-learn, Keras, and Hugging Face Transformers.
• Strong understanding of deep learning architectures, NLP techniques, computer vision applications, reinforcement learning, and generative AI models (GPT, BERT, CNNs, RNNs, Transformers).
• Extensive experience working with cloud platforms (AWS SageMaker, Azure ML Studio, GCP AI Platform) for AI model deployment and management.
• Knowledge of big data technologies such as Apache Spark, Hadoop, Kafka, or distributed computing frameworks for handling large-scale datasets.
• Experience with MLOps tools and practices, including MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines for model monitoring, retraining, and continuous deployment.
• Strong analytical and problem-solving skills with demonstrated ability to translate business requirements into technical AI solutions.
• Excellent communication and teamwork skills, with proven ability to explain complex AI concepts to both technical and non-technical stakeholders in client-facing environments.
• Experience working in consulting or client services environments with ability to manage multiple projects simultaneously.
• Demonstrated track record of delivering AI projects from conception to production deployment.

Preferred Qualifications

• Experience in deploying AI models in real-world applications such as intelligent chatbots, fraud detection systems, predictive analytics platforms, document processing automation, recommendation engines, and computer vision solutions.
• Familiarity with AI ethics frameworks, model interpretability tools (SHAP, LIME), explainable AI techniques, and bias mitigation strategies.
• Knowledge of edge AI deployment, IoT applications, and mobile AI optimization techniques.
• Experience with specific industry domains, including finance, healthcare, retail, manufacturing, telecommunications, or government sectors.
• Contributions to AI research publications, open-source AI projects, or technical community initiatives.
• Experience with modern data engineering tools and practices, including data lakes, data warehouses, and streaming data processing.
• Knowledge of API development, microservices architecture, and system integration for AI applications.
• Familiarity with agile development methodologies and project management tools used in consulting environments.
• Experience mentoring technical teams or leading AI initiative implementations.
• Certifications in cloud AI services (AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer) or relevant AI/ML specializations.

Today

Remote (Work From Home) Full Time

IT & Telecoms NGN 900,000 - 1,200,000

Easy Apply

We are looking for an experienced AI Engineer to join their team using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help them improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape their AI strategy.

• Minimum Qualification : Degree
• Experience Level : Mid level
• Experience Length : 3 years

Responsibilities

• Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
• Understand company and client challenges and how integrating AI capabilities can help lead to solutions
• Lead cross-functional teams in identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit
• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
• Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
• Articulate and document the solutions architecture, and lessons learned for each exploration and accelerated incubation
• Manage a team in conducting assessments of the AI and automation market and competitor landscape
  Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation

Requirements:

• 3-5 years of experience in applying AI to practical and comprehensive technology solutions
• Experience with ML, deep learning, TensorFlow, Python, NLP
• Experience in program leadership, governance, and change enablement
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

Project: EU Support to Democratic Governance in Nigeria Programme (EUD SDGN) PHASE II
Brief description of the project:
This technical assistance contract is aiming to lead the implementation of activities under Component 1 of the Programme –Support to INEC. This will require close synergy, coordination and collaboration with other components of the programme, with high priority on delivering as one. Furthermore, the Component 1 of the programme will, under the supervision of the Delegation, support monitoring and evaluation as well as communication and visibility activities across the six components to ensure a coherent and efficient programme delivery.

The
purposes
of this contract are as follows:

• To engender the conditions for inclusive, transparent, credible, and peaceful elections and a more inclusive decision-making process with the meaningful participation of all sectors of society, including women, youth, and other marginalised groups.
• In collaboration with the technical team of the Chairman of the electoral management Body (INEC) already embedded in the programme– Chief Technical Adviser, Special Adviser and Chief Press Secretary - provide capacity development support, technical assistance, policy and expert advice to the electoral management Body – the Independent National Electoral Commission (INEC).
• To contribute to the implementation of the EU Electoral Observation Missions (EU EOM) recommendations, as well as EU EOM follow up mission recommendations.
• Under the direction of the EU Delegation, support Monitoring and Evaluation as well as communication and visibility activities across the programme components.

DAI is looking to recruit: Senior Non-Key Expert – Artificial Intelligence (AI) and Machine Learning (ML) Expert

• Background With the increasing role of Artificial Intelligence (AI) and Machine Learning (ML) in governance, election management bodies must leverage AI-driven solutions to enhance efficiency, transparency, and security in electoral processes. INEC has established an AI Division under its ICT Department and requires support for - AI adoption in voter registration, election logistics management, results management and public communications. For this purpose, DAI, under the EUSDGN project is recruiting a senior AI and machine learning expert who will work with INEC on the below listed objectives.
• Objectives
• Provide strategic guidance on AI and ML integration in election management, specifically voter registration, election logistics management, results management and communications.
• Assess AI use cases for improving voter registration, election logistics monitoring, results management and communications.
• Offer recommendations for AI governance, ethics, and risk management in electoral processes.
• Ensure compliance with national and international AI policies and regulations.
• Advise on AI capacity-building initiatives for INEC staff.
• Scope of Work The AI and ML Advisor will:
• Conduct AI readiness assessments within INEC operations, particularly focusing on voter registration, election logistics management, results management and public communications.
• Advise on AI-driven tools for electoral data analysis and predictive modelling.
• Develop a framework for training and capacity building on the deployment of AI in INEC.
• Support AI-based security enhancements to detect cyber threats, disinformation and electoral fraud.
• Develop guidelines for ethical AI use in Nigerian elections.
• Monitor AI risks and suggest mitigation strategies.
• Collaborate with stakeholders (policymakers, electoral officials, and tech experts) to ensure AI-driven innovations align with democratic principles.
• Key Deliverables
• AI readiness assessment report and recommendations for the AI unit
• Strategic reports on AI integration in election management.
• AI governance framework for election integrity.
• Ethical AI guidelines tailored for EMB operations.
• A comprehensive AI and ML capacity building plan for INEC.
• Line Management and reporting The SNKE will report to the TL and works in partnership with KE2, the Director of the INEC ICT department and the Technical Team of the INEC Chairman.
• Required expertise The expert must possess and demonstrate the following:
• At least a master's degree in ICT relates fields.
• At least 15 years of experience in election administration with an election technology focus and excellent knowledge of ICT supported election operations
• Experienced in undertaking reviews, studies, and research in the field of elections and election technology
• Substantial working knowledge of elections in Nigeria
• Prior experience working on AI and ML with an EMB an advantage

Technical expertise required:

• Programming Skills: Proficiency in languages like Python, R, and Java is essential for building and deploying AI models.
• Machine Learning Frameworks: Familiarity with TensorFlow, PyTorch, Scikit-learn, and other tools helps in developing AI models.
• Deep Learning & Neural Networks: Knowledge of neural architectures like CNNs, RNNs, and transformers is highly valuable.
• Cloud Computing & Deployment: Experience with cloud platforms like AWS, Google Cloud, and Azure for deploying AI models at scale.
• Ethics & AI Governance: Understanding responsible AI, bias mitigation, and regulations around AI applications.
• Proficiency in AI algorithms, data modelling, and predictive analytics.
• Expertise in machine learning techniques, including natural language processing (NLP) and computer vision.
• Experience in developing AI-driven fraud detection systems.
• Ability to design automation tools for voter registration, election logistics management, results management and communications.
• Thorough understanding of electoral systems, voting technologies, election operations, logistics voter registration, communications and media
• Knowledge of legal frameworks governing AI use in elections.
• Ability to advise on ethical AI practices to uphold election integrity and transparency.
• Ability to assess and mitigate risks associated with AI deployment in elections.
• Knowledge of data protection regulations, such as GDPR for international compliance.
• AI Policy & Ethical Considerations
• Familiarity with global AI policies, including responsible AI governance.
• Ability to create guidelines for ethical AI use in election processes.
• Understanding of bias mitigation in AI models to ensure fair electoral practices.
• Strategic Advisory & Capacity Building
• Experience in advising government agencies on AI implementation.
• Ability to design capacity-building programs for EMB officials.

Inputs:
Up to 50 working days; Starting: ASAP

Location and travel arrangements:
Abuja, Nigeria is the location for this assignment. Occasional domestic travel within Nigeria is possible from time to time (consulted by Project Director for DAI Belgium and Team Leader (KE1) and subject to EUD approval)

If you are interested kindly submit a CV in English, indicating field(s) of expertise and experience ASAP, not later than
10th of October 2025
.

Applications are reviewed on a rolling basis, and we encourage consultants with relevant/applicable experience according to selection criteria to apply asap.
Only shortlisted candidates will be contacted

Project: EU Support to Democratic Governance in Nigeria Programme (EUD SDGN) PHASE II

Brief description of the project: This technical assistance contract is aiming to lead the implementation of activities under Component 1 of the Programme –Support to INEC. This will require close synergy, coordination and collaboration with other components of the programme, with high priority on delivering as one. Furthermore, the Component 1 of the programme will, under the supervision of the Delegation, support monitoring and evaluation as well as communication and visibility activities across the six components to ensure a coherent and efficient programme delivery.

The purposes of this contract are as follows:

• To engender the conditions for inclusive, transparent, credible, and peaceful elections and a more inclusive decision-making process with the meaningful participation of all sectors of society, including women, youth, and other marginalised groups.
• In collaboration with the technical team of the Chairman of the electoral management Body (INEC) already embedded in the programme– Chief Technical Adviser, Special Adviser and Chief Press Secretary - provide capacity development support, technical assistance, policy and expert advice to the electoral management Body – the Independent National Electoral Commission (INEC).
• To contribute to the implementation of the EU Electoral Observation Missions (EU EOM) recommendations, as well as EU EOM follow up mission recommendations.
• Under the direction of the EU Delegation, support Monitoring and Evaluation as well as communication and visibility activities across the programme components.

DAI is looking to recruit: Senior Non-Key Expert – Artificial Intelligence (AI) and Machine Learning (ML) Expert

1. Background

With the increasing role of Artificial Intelligence (AI) and Machine Learning (ML) in governance, election management bodies must leverage AI-driven solutions to enhance efficiency, transparency, and security in electoral processes. INEC has established an AI Division under its ICT Department and requires support for - AI adoption in voter registration, election logistics management, results management and public communications. For this purpose, DAI, under the EUSDGN project is recruiting a senior AI and machine learning expert who will work with INEC on the below listed objectives.

2. Objectives

• Provide strategic guidance on AI and ML integration in election management, specifically voter registration, election logistics management, results management and communications.
• Assess AI use cases for improving voter registration, election logistics monitoring, results management and communications.
• Offer recommendations for AI governance, ethics, and risk management in electoral processes.
• Ensure compliance with national and international AI policies and regulations.
• Advise on AI capacity-building initiatives for INEC staff.

3. Scope of Work

The AI and ML Advisor will:

• Conduct AI readiness assessments within INEC operations, particularly focusing on voter registration, election logistics management, results management and public communications.
• Advise on AI-driven tools for electoral data analysis and predictive modelling.
• Develop a framework for training and capacity building on the deployment of AI in INEC.
• Support AI-based security enhancements to detect cyber threats, disinformation and electoral fraud.
• Develop guidelines for ethical AI use in Nigerian elections.
• Monitor AI risks and suggest mitigation strategies.
• Collaborate with stakeholders (policymakers, electoral officials, and tech experts) to ensure AI-driven innovations align with democratic principles.

4. Key Deliverables

• AI readiness assessment report and recommendations for the AI unit
• Strategic reports on AI integration in election management.
• AI governance framework for election integrity.
• Ethical AI guidelines tailored for EMB operations.
• A comprehensive AI and ML capacity building plan for INEC.

5. Line Management and reporting

The SNKE will report to the TL and works in partnership with KE2, the Director of the INEC ICT department and the Technical Team of the INEC Chairman.

6. Required expertise

The expert must possess and demonstrate the following:

• At least a master's degree in ICT relates fields.
• At least 15 years of experience in election administration with an election technology focus and excellent knowledge of ICT supported election operations
• Experienced in undertaking reviews, studies, and research in the field of elections and election technology
• Substantial working knowledge of elections in Nigeria
• Prior experience working on AI and ML with an EMB an advantage

Technical expertise required:

• Programming Skills: Proficiency in languages like Python, R, and Java is essential for building and deploying AI models.
• Machine Learning Frameworks: Familiarity with TensorFlow, PyTorch, Scikit-learn, and other tools helps in developing AI models.
• Deep Learning & Neural Networks: Knowledge of neural architectures like CNNs, RNNs, and transformers is highly valuable.
• Cloud Computing & Deployment: Experience with cloud platforms like AWS, Google Cloud, and Azure for deploying AI models at scale.
• Ethics & AI Governance: Understanding responsible AI, bias mitigation, and regulations around AI applications.
• Proficiency in AI algorithms, data modelling, and predictive analytics.
• Expertise in machine learning techniques, including natural language processing (NLP) and computer vision.
• Experience in developing AI-driven fraud detection systems.
• Ability to design automation tools for voter registration, election logistics management, results management and communications.
• Thorough understanding of electoral systems, voting technologies, election operations, logistics voter registration, communications and media
• Knowledge of legal frameworks governing AI use in elections.
• Ability to advise on ethical AI practices to uphold election integrity and transparency.
• Ability to assess and mitigate risks associated with AI deployment in elections.
• Knowledge of data protection regulations, such as GDPR for international compliance.
• AI Policy & Ethical Considerations
• Familiarity with global AI policies, including responsible AI governance.
• Ability to create guidelines for ethical AI use in election processes.
• Understanding of bias mitigation in AI models to ensure fair electoral practices.
• Strategic Advisory & Capacity Building
• Experience in advising government agencies on AI implementation.
• Ability to design capacity-building programs for EMB officials.

Inputs: Up to 50 working days; Starting: ASAP

Location and travel arrangements: Abuja, Nigeria is the location for this assignment. Occasional domestic travel within Nigeria is possible from time to time (consulted by Project Director for DAI Belgium and Team Leader (KE1) and subject to EUD approval)

If you are interested kindly submit a CV in English, indicating field(s) of expertise and experience ASAP, not later than 10th of October 2025.

Applications are reviewed on a rolling basis, and we encourage consultants with relevant/applicable experience according to selection criteria to apply asap.

Only shortlisted candidates will be contacted

Role Description

This is a full-time on-site role for a Machine Learning Engineer located in Lagos. The Machine Learning Engineer will be responsible for designing and implementing machine learning models, analyzing data sets to identify patterns and trends, and developing algorithms to optimize performance. The individual will collaborate with cross-functional teams to integrate machine learning solutions and participate in the testing and deployment of new models. The role requires staying up-to-date with the latest advancements in the field to ensure the use of cutting-edge techniques.

Qualifications

• Strong skills in Pattern Recognition and Neural Networks
• Proficiency in Computer Science and Algorithms
• Solid understanding of Statistics and data analysis
• Experience in developing and deploying machine learning models
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in a team environment
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience in the technology or software development industry is a plus