1,060 AI Specialists jobs in Kenya
Lead AI Ethicist - Responsible AI Development
Posted 5 days ago
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Senior Machine Learning Engineer - Remote AI Development
Posted 1 day ago
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Responsibilities:
- Design, build, train, and deploy scalable machine learning models and algorithms.
- Develop and implement feature engineering techniques and data preprocessing pipelines.
- Evaluate model performance using appropriate metrics and conduct rigorous experimentation.
- Collaborate with data scientists to prototype and test new ML models and approaches.
- Integrate ML models into production systems and ensure their performance and reliability.
- Optimize ML algorithms for efficiency, scalability, and performance on large datasets.
- Stay current with the latest research and advancements in machine learning, deep learning, and artificial intelligence.
- Develop and maintain ML infrastructure, including training and deployment pipelines.
- Communicate complex technical concepts and results to both technical and non-technical stakeholders.
- Contribute to the overall AI strategy and roadmap of the organization.
The successful candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. A minimum of 6 years of professional experience in machine learning engineering or a closely related role is required. Proven experience with Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras is mandatory. Strong understanding of statistical modeling, algorithm design, and data mining techniques is essential. Experience with cloud platforms (AWS, Azure, GCP) and their ML services is highly desirable. Proficiency in software engineering best practices, including version control (Git) and CI/CD, is expected. Excellent problem-solving skills, strong analytical abilities, and the capacity to work independently and manage multiple projects in a remote setting are crucial. This is an exceptional opportunity to drive innovation in AI and make a significant impact.
Artificial Intelligence Research Scientist
Posted 3 days ago
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AI Solutions Architect (Cloud AI)
Posted 5 days ago
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Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 8+ years of experience in software engineering or data science, with a strong focus on AI/ML.
- 5+ years of experience designing and implementing AI/ML solutions on cloud platforms (AWS, Azure, GCP).
- Proficiency in Python and relevant AI/ML libraries.
- Strong understanding of various ML algorithms, NLP, computer vision, and deep learning.
- Experience with MLOps practices is highly desirable.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote setting.
Principal AI Engineer - NLP & Conversational AI
Posted 1 day ago
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Graduate Research Assistant - Artificial Intelligence
Posted 2 days ago
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Key Responsibilities:
- Assist in the design and execution of AI research experiments.
- Collect, clean, and preprocess large datasets for model training and evaluation.
- Implement and test machine learning algorithms and models using programming languages such as Python.
- Conduct literature reviews to stay updated on the latest advancements in AI.
- Analyze experimental results and contribute to the interpretation of findings.
- Prepare research reports, documentation, and presentations.
- Collaborate with team members on research proposals and publications.
- Assist in the development of AI prototypes and applications.
- Troubleshoot and resolve issues related to research code and data.
- Learn and apply advanced AI techniques and tools under expert guidance.
- Currently pursuing or recently completed a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of machine learning concepts and algorithms.
- Proficiency in Python programming and relevant AI libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data manipulation and analysis tools.
- Excellent analytical and problem-solving skills.
- Strong academic record and research potential.
- Ability to work independently and as part of a remote team.
- Effective written and verbal communication skills.
- Enthusiasm for AI and a strong desire to learn.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) is a plus.
Lead Technical Recruiter - AI & Data Science
Posted 3 days ago
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AI Ethics Specialist
Posted 3 days ago
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The AI Ethics Specialist will be responsible for developing, implementing, and overseeing AI ethics frameworks, policies, and guidelines. This includes conducting ethical risk assessments for new AI projects, advising development teams on bias mitigation and fairness in algorithms, and staying abreast of evolving global AI regulations and best practices. You will collaborate with legal, engineering, product, and policy teams to integrate ethical considerations throughout the AI lifecycle. Strong analytical skills, a deep understanding of AI technologies, and a passion for ethical innovation are essential. This position offers a unique opportunity to influence the trajectory of AI responsibly.
Key Responsibilities:
- Develop and maintain comprehensive AI ethics policies, frameworks, and best practices.
- Conduct ethical impact assessments for AI systems and projects, identifying potential risks and proposing mitigation strategies.
- Advise engineering and product teams on fairness, accountability, transparency, and privacy in AI design and development.
- Monitor and analyze emerging AI ethical issues, regulatory landscapes, and industry standards.
- Collaborate with cross-functional teams (legal, engineering, policy, product) to embed ethical considerations into AI development processes.
- Develop and deliver training programs on AI ethics to internal stakeholders.
- Engage with external stakeholders, including academics, policymakers, and civil society organizations, on AI ethics matters.
- Contribute to the company's thought leadership on responsible AI.
Qualifications:
- Master's or PhD degree in a relevant field such as Ethics, Philosophy, Law, Computer Science, Data Science, or Public Policy, with a specialization in AI or technology ethics.
- 3-5 years of experience in AI ethics, technology policy, or a related field.
- Demonstrated understanding of AI/ML concepts and their ethical implications.
- Knowledge of relevant legal and regulatory frameworks concerning AI and data privacy (e.g., GDPR, AI Act).
- Excellent analytical, research, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to articulate complex ethical and technical concepts clearly to diverse audiences.
- Experience in policy development and stakeholder engagement.
- Ability to work effectively in a hybrid work environment, balancing remote and in-office collaboration.
This is a hybrid role, requiring a blend of remote flexibility and in-office collaboration. The target location for this role is Malindi, Kilifi, KE . We are looking for individuals who are passionate about shaping a future where AI benefits society ethically and responsibly.
AI Integration Specialist
Posted 6 days ago
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Responsibilities:
- Identify and evaluate AI technologies for business integration.
- Design and implement strategies for AI solution deployment.
- Develop APIs and connectors for seamless integration.
- Manage the deployment and testing of AI applications.
- Collaborate with data scientists and engineers on AI projects.
- Provide technical support and training to end-users.
- Assess the impact of AI on existing business processes.
- Stay current with AI trends and best practices.
- Ensure ethical and responsible implementation of AI.
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of experience in AI integration, software development, or data science.
- Proficiency in programming languages (e.g., Python, R).
- Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
- Understanding of machine learning, NLP, and data analysis.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
AI Ethics Specialist
Posted 6 days ago
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Responsibilities:
- Develop and implement AI ethics frameworks and guidelines.
- Conduct ethical risk assessments for AI systems and applications.
- Advise AI development teams on ethical considerations and best practices.
- Monitor AI regulations, standards, and public discourse.
- Collaborate with legal, policy, and engineering teams.
- Promote ethical AI principles across the organization.
- Develop educational materials and training on AI ethics.
- Engage with external stakeholders on AI ethics initiatives.
- Ensure compliance with relevant ethical and regulatory requirements.
- Advanced degree in Ethics, Philosophy, Law, Computer Science, or a related field with a focus on technology ethics.
- 3+ years of experience in AI ethics, technology policy, or responsible AI development.
- Strong understanding of AI and machine learning concepts.
- In-depth knowledge of ethical theories, principles, and their application to technology.
- Experience with ethical risk assessment methodologies and impact assessments.
- Excellent analytical, research, and communication skills.
- Ability to articulate complex ethical issues clearly and persuasively.
- Experience working in a remote, collaborative environment.
- Familiarity with AI governance frameworks is a plus.