What Blockchain Developer Jobs are in Nigeria?

Our client, a rapidly growing technology firm specializing in artificial intelligence and machine learning solutions, is seeking an exceptional Principal Machine Learning Engineer. This role, based in the bustling city of Maiduguri, Borno, NG , will be pivotal in designing, developing, and deploying advanced AI models and algorithms that drive innovation across our product suite. You will work on challenging problems, tackle large-scale datasets, and contribute to the core architecture of our next-generation intelligent systems. The ideal candidate possesses a deep theoretical understanding of ML concepts, extensive practical experience in implementing and scaling ML solutions, and a passion for staying at the cutting edge of AI research. This is a fantastic opportunity to lead impactful projects and mentor a talented team of engineers in Maiduguri, Borno, NG , contributing significantly to our client's technological advancements.

• Lead the design, development, and implementation of sophisticated machine learning models and algorithms for various applications.
• Architect and build scalable, production-ready ML systems and infrastructure.
• Process, clean, and analyze large, complex datasets to extract meaningful insights and train models.
• Experiment with and evaluate different ML algorithms and techniques to optimize performance and accuracy.
• Collaborate with product managers, software engineers, and data scientists to define project requirements and deliver robust AI solutions.
• Develop and maintain ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
• Stay abreast of the latest advancements in machine learning, deep learning, and AI research, and identify opportunities for their application.
• Mentor and guide junior machine learning engineers and contribute to the team's technical growth.
• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
• Ensure the ethical and responsible development and deployment of AI systems.
• Contribute to the technical roadmap and strategy for AI initiatives in Maiduguri, Borno, NG .

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8 years of professional experience in machine learning engineering or a related role.
• Proven track record of successfully developing, deploying, and scaling ML models in production environments.
• Expertise in common ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, and XGBoost.
• Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Solid understanding of algorithms, data structures, and software engineering best practices.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark).
• Familiarity with MLOps principles and tools for model deployment, monitoring, and management.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong leadership and communication skills, with the ability to mentor and guide teams in Maiduguri, Borno, NG .

Our client offers a highly competitive salary, comprehensive health and wellness benefits, generous stock options, and opportunities for continuous learning and professional development. We foster a collaborative and innovative work culture in Maiduguri, Borno, NG , where cutting-edge AI challenges are tackled daily. Join our client and be part of shaping the future of artificial intelligence.

• Develop, implement, and deploy machine learning models for beauty-related applications such as personalized recommendations, image analysis, and trend forecasting.
• Analyze large, complex datasets to identify patterns, insights, and opportunities for product improvement and innovation.
• Collaborate with product managers, engineers, and researchers to define project requirements and translate business needs into data science solutions.
• Design and conduct A/B tests and other experiments to evaluate the effectiveness of AI features.
• Develop and maintain data pipelines and infrastructure for efficient data processing and model training.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and AI, particularly as they apply to the beauty industry.
• Mentor junior data scientists and contribute to the overall technical growth of the team.
• Ensure data privacy and ethical considerations are addressed in all AI development.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Minimum of 5 years of professional experience in data science or machine learning, with a proven track record of delivering impactful solutions.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience in computer vision and image processing is highly desirable for beauty tech applications.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
• Familiarity with the beauty or consumer goods industry is a plus.

• Develop, implement, and maintain comprehensive AI ethics policies and governance frameworks.
• Advise on the ethical implications of AI research and product development initiatives.
• Conduct ethical risk assessments and provide mitigation strategies for AI systems.
• Ensure compliance with relevant data privacy regulations and AI-specific legislation.
• Develop and deliver training programs on AI ethics and responsible AI practices to employees.
• Monitor emerging trends and best practices in AI ethics and governance globally.
• Collaborate with legal, compliance, and engineering teams to integrate ethical considerations into AI development processes.
• Establish mechanisms for stakeholder engagement and feedback on AI ethics concerns.
• Oversee the creation of transparency reports and documentation related to AI ethics.
• Champion a culture of responsible AI innovation throughout the organization.

• Advanced degree (Master's or PhD) in Ethics, Philosophy, Law, Public Policy, Computer Science with an ethics focus, or a related field.
• 5+ years of experience in AI ethics, responsible AI, technology policy, or a related field.
• Strong understanding of AI/ML technologies and their societal implications.
• Knowledge of relevant legal and regulatory frameworks concerning AI and data privacy (e.g., GDPR).
• Proven ability to develop and implement policy and governance frameworks.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional communication and interpersonal skills, with the ability to engage diverse audiences.
• Experience in risk assessment and management.
• Ability to work effectively across different departments and with senior leadership.
• Familiarity with international standards and best practices for AI ethics.
• Demonstrated commitment to ethical principles and responsible technology development.

• Competitive compensation package.
• Comprehensive health, dental, and vision insurance.
• Generous annual leave allowance.
• Opportunities for professional development and attending conferences.
• Flexible hybrid work arrangement.
• Contributory pension scheme.
• Access to cutting-edge AI research and development.
• Relocation assistance may be available.
• Supportive and inclusive work environment.
• Opportunity to shape the future of responsible AI.

• Develop and implement advanced computer vision algorithms and models.
• Train, test, and deploy deep learning models for tasks such as image classification, object detection, segmentation, and tracking.
• Process and analyze large-scale image and video datasets.
• Collaborate with software engineers to integrate computer vision models into production systems.
• Research and stay current with the latest advancements in computer vision and deep learning.
• Design and conduct experiments to evaluate model performance and identify areas for improvement.
• Work with stakeholders to define project requirements and deliverables.
• Develop data augmentation and pre-processing techniques to improve model robustness.
• Contribute to the development of internal tools and libraries for computer vision tasks.
• Present findings and model results to technical and non-technical audiences.

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• Proven experience in developing and deploying computer vision models in real-world applications.
• Strong proficiency in Python and libraries such as OpenCV, NumPy, and Pandas.
• Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Solid understanding of image processing techniques and algorithms.
• Experience with large-scale dataset management and annotation.
• Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and their ML services.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and as part of a team in a focused, on-site environment.
• Experience with C++ is a plus.

• Competitive salary and performance-based incentives.
• Comprehensive health and wellness benefits.
• Opportunities for continuous learning and professional development.
• Work on challenging and impactful projects.
• Collaborative and supportive team culture.
• Relocation assistance available.
• Company-provided resources and equipment.
• Paid vacation and sick leave.
• Regular team events and social gatherings.

• Conduct cutting-edge research in Explainable AI (XAI), focusing on developing and evaluating methods for understanding complex machine learning models.
• Develop and implement novel XAI techniques, including feature importance, model visualization, counterfactual explanations, and causal inference methods.
• Collaborate with AI/ML engineers to integrate XAI methods into model development and deployment pipelines.
• Design and conduct experiments to assess the effectiveness and interpretability of AI models.
• Publish research findings in top-tier AI conferences and journals.
• Work on ensuring fairness, accountability, and transparency in AI systems through explainability.
• Contribute to building trust in AI by making model decisions understandable to stakeholders.
• Stay abreast of the latest research and trends in XAI, machine learning, and AI ethics.
• Mentor junior researchers and contribute to a collaborative research environment.
• Communicate research results and insights effectively to both technical and non-technical audiences.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field with a strong focus on XAI or interpretable ML.
• Proven track record of impactful research in XAI or interpretable ML, demonstrated through publications in reputable venues.
• Strong theoretical understanding of machine learning algorithms and their interpretability challenges.
• Proficiency in programming languages such as Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with XAI libraries and toolkits (e.g., LIME, SHAP, Captum) is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to present complex ideas clearly.
• Experience working with large datasets and complex models.
• Familiarity with AI ethics principles and their intersection with explainability is a significant plus.
• Ability to work independently and drive research initiatives.

• Design end-to-end AI solutions, encompassing data ingestion, model training, deployment, and monitoring.
• Collaborate with clients to gather requirements, assess feasibility, and define project scope.
• Develop architectural blueprints and technical specifications for AI systems.
• Select appropriate AI/ML algorithms, tools, and platforms for specific use cases.
• Oversee the implementation and integration of AI solutions, ensuring alignment with client objectives.
• Provide technical leadership and guidance to development teams.
• Stay current with emerging AI technologies, cloud services, and best practices in automation.
• Develop and present compelling proposals and technical documentation to clients.
• Identify opportunities for leveraging AI to optimize business processes and create new value.
• Ensure the scalability, security, and performance of deployed AI solutions.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software architecture, with a significant focus on AI/ML solutions.
• Proven experience designing and deploying AI models in production environments.
• Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
• Proficiency in programming languages like Python, Java, or Scala.
• Experience with MLOps tools and practices for CI/CD of AI models.
• Knowledge of various AI domains, including NLP, computer vision, and predictive analytics.
• Excellent communication, presentation, and client-facing skills.
• Ability to translate complex technical concepts into business terms.
• Experience with agile development methodologies.
• Familiarity with data engineering and database technologies.

• Competitive salary package.
• Performance-based incentives.
• Health and wellness programs.
• Opportunities for professional certifications and training.
• Collaborative and innovative work environment.
• Hybrid work arrangement offering flexibility.
• Contribution to impactful client projects.
• Retirement savings plan.
• Travel allowances for client engagements.
• Access to cutting-edge technology and tools.

Our client, a global leader in artificial intelligence innovation, is looking for a brilliant and driven AI Research Scientist specializing in Computer Vision to join their esteemed research division. This is a fully remote role, enabling you to contribute from anywhere while working on groundbreaking projects. You will be instrumental in pushing the boundaries of visual perception and understanding through AI, developing novel algorithms and models for a wide array of applications. This position demands a deep theoretical understanding coupled with practical implementation skills, a passion for scientific discovery, and the ability to translate complex research into tangible advancements. You will be part of a highly collaborative and intellectually stimulating environment, working alongside some of the brightest minds in the field. If you are passionate about solving challenging problems in computer vision and making a significant impact through your research, this is the perfect opportunity for you. We are committed to fostering a diverse and inclusive remote-first culture where innovation thrives and every voice is heard.

• Conduct fundamental and applied research in computer vision, focusing on areas such as object detection, image segmentation, facial recognition, scene understanding, and generative models.
• Design, develop, and implement novel algorithms and deep learning architectures for visual data processing.
• Stay abreast of the latest advancements in computer vision research through literature review and conference attendance.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with engineering teams to translate research prototypes into scalable and deployable AI solutions.
• Mentor junior researchers and contribute to the overall scientific strategy of the team.
• Design and execute experiments, analyze results, and draw meaningful conclusions.
• Develop and maintain high-quality code for research experiments and prototypes.
• Contribute to the intellectual property portfolio of the company through patents and publications.
• Present research findings to internal stakeholders and the broader scientific community.

• Ph.D. or equivalent research experience in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• Proven track record of impactful research contributions in computer vision, evidenced by publications in top venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
• Strong theoretical understanding of deep learning, convolutional neural networks, and other relevant machine learning techniques.
• Proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Experience with large-scale datasets and distributed training environments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of explaining complex technical concepts clearly.
• Ability to work independently and collaboratively in a fully remote setting.
• Experience with image and video processing techniques.
• A proactive and curious mindset, eager to explore new research frontiers.

• Highly competitive salary and stock options.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget for conferences and training.
• Opportunity to work on challenging and impactful research problems.
• A fully remote work setup with maximum flexibility.
• Access to state-of-the-art research infrastructure and computational resources.
• Retirement savings plan with employer match.
• Collaborative and intellectually stimulating research environment.

• Conduct advanced research in Explainable AI (XAI), developing novel methodologies for interpreting complex AI models.
• Design, implement, and evaluate XAI techniques for various machine learning models (e.g., deep neural networks, ensemble methods).
• Explore and develop methods for assessing model transparency, fairness, and accountability.
• Collaborate with AI/ML engineers to integrate XAI solutions into production systems.
• Analyze model behavior and generate insights into decision-making processes.
• Publish research findings in top-tier AI/ML conferences and journals.
• Stay abreast of the latest research trends and advancements in XAI, AI ethics, and trustworthy AI.
• Contribute to the strategic direction of XAI research within **Our client**.
• Mentor junior researchers and contribute to knowledge sharing within the team.
• Develop and present research proposals and findings to internal and external stakeholders.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a specialization in XAI or a closely related area.
• Demonstrated track record of significant research contributions in XAI, evidenced by publications in reputable venues.
• Strong programming skills in Python, with expertise in ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of various machine learning algorithms and model interpretability techniques (e.g., LIME, SHAP, attention mechanisms).
• Experience with data analysis, visualization, and statistical methods.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong written and verbal communication skills, with the ability to clearly articulate complex research concepts.
• Ability to work independently and effectively in a remote research environment.

• Assist senior researchers in designing and implementing computer vision algorithms.
• Process and analyze image and video data for research experiments.
• Implement and test deep learning models for computer vision tasks under supervision.
• Conduct literature reviews on relevant AI and computer vision research topics.
• Document experimental procedures, results, and findings.
• Participate in team meetings and contribute to discussions on research projects.
• Support data annotation and management tasks as needed.
• Gain practical experience with AI development tools and frameworks.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
• Basic understanding of computer vision concepts and machine learning principles.
• Familiarity with Python programming language.
• Exposure to deep learning frameworks like TensorFlow or PyTorch is a plus.
• Enthusiasm for AI and a strong desire to learn.
• Good analytical and problem-solving skills.
• Ability to work both independently and as part of a team.
• Good communication skills.

• Stipend provided throughout the internship duration.
• Hands-on experience with real-world AI research projects.
• Mentorship from experienced AI researchers and engineers.
• Opportunity to learn and apply advanced AI techniques.
• Exposure to a professional and collaborative work environment.
• Hybrid work arrangement offering flexibility.
• Potential for future employment opportunities based on performance.