3,686 Junior AI jobs in Kenya
Senior AI Ethicist - Responsible AI Development
Posted 2 days ago
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Responsibilities:
- Develop and implement ethical frameworks and guidelines for AI development and deployment.
- Conduct ethical risk assessments and impact analyses for AI projects.
- Advise AI/ML teams on bias detection, mitigation, and fairness in algorithms.
- Promote transparency, accountability, and explainability in AI systems.
- Stay informed about global AI ethics regulations, standards, and best practices.
- Collaborate with cross-functional teams to integrate ethical considerations into the AI lifecycle.
- Develop training materials and conduct workshops on AI ethics for internal teams.
- Engage with external stakeholders, including researchers, policymakers, and the public, on AI ethics topics.
- Contribute to thought leadership and publications on AI ethics.
- Advocate for responsible innovation and the societal benefit of AI.
Qualifications:
- Master's or Ph.D. in Ethics, Philosophy, Computer Science, Law, Sociology, or a related field with a specialization in AI ethics.
- Minimum of 5 years of experience in AI ethics, responsible AI, or technology policy.
- Deep understanding of AI, machine learning concepts, and their ethical implications.
- Proven experience in developing ethical guidelines, conducting risk assessments, or advising on AI fairness.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and presentation skills, with the ability to explain complex ethical issues clearly.
- Demonstrated ability to work independently and influence stakeholders in a remote setting.
- Familiarity with relevant legal and regulatory landscapes related to AI.
- Strong research skills and ability to stay current with evolving AI trends.
- Passion for promoting ethical AI development and deployment.
Remote AI Development Trainee
Posted 2 days ago
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As a Remote AI Development Trainee, you will:
- Participate in guided learning modules covering core AI concepts, programming languages (Python, R), and relevant libraries (TensorFlow, PyTorch, scikit-learn).
- Assist in data collection, cleaning, and preprocessing for machine learning models.
- Contribute to the development, training, and evaluation of AI models under the mentorship of senior team members.
- Learn to implement and test various algorithms and techniques in supervised, unsupervised, and reinforcement learning.
- Engage in collaborative coding sessions and contribute to internal AI development projects.
- Help in documenting AI project progress, methodologies, and results.
- Troubleshoot and debug code to ensure the performance and reliability of AI applications.
- Attend virtual team meetings, knowledge-sharing sessions, and workshops.
- Develop a portfolio of AI projects demonstrating your acquired skills and understanding.
- Gain exposure to MLOps practices for deploying and monitoring AI models in production environments.
Ideal Candidates Will Possess:
- A strong foundation in mathematics, statistics, and computer science principles.
- Basic programming skills, preferably in Python.
- A keen interest in Artificial Intelligence, Machine Learning, and Data Science.
- Excellent problem-solving abilities and a logical mindset.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote team.
- Self-discipline and motivation to learn and succeed in a fully remote learning environment.
- A bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent demonstrable experience.
This program is ideal for individuals looking to launch a career in AI from **Malindi, Kilifi, KE**, without the need to relocate. Our client is committed to fostering talent and providing a clear career path within the exciting field of artificial intelligence. Join us and help shape the future of technology.
Remote Lead AI Ethicist - Responsible AI Development
Posted 2 days ago
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Lead AI Ethicist - Responsible AI Development (Remote)
Posted 2 days ago
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Responsibilities:
- Develop and implement ethical guidelines for AI development and deployment.
- Conduct ethical risk assessments and impact analyses for AI systems.
- Advise AI development teams on mitigating bias, ensuring fairness, and protecting privacy.
- Monitor and analyze emerging AI regulations and ethical standards.
- Collaborate with cross-functional teams to integrate ethical considerations into AI projects.
- Develop training materials and conduct workshops on AI ethics.
- Contribute to public discourse and thought leadership on responsible AI.
- Build consensus among stakeholders on critical ethical issues.
- Champion a culture of responsible AI development within the organization.
- Engage with external bodies and researchers on AI ethics topics.
- Advanced degree (Master's or Ph.D.) in Ethics, Philosophy, Computer Science, Law, or a related field with a focus on AI ethics.
- Deep understanding of AI principles, machine learning, and data science.
- Proven experience in developing and implementing ethical frameworks for technology.
- Strong knowledge of AI bias, fairness, transparency, and accountability issues.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional written and verbal communication skills.
- Ability to engage and influence diverse stakeholders.
- Experience working in a technology or research-focused environment.
- Familiarity with data privacy regulations (e.g., GDPR).
- Passion for ensuring AI technologies benefit society.
Principal Machine Learning Engineer - Remote AI Development
Posted 2 days ago
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Junior Data Scientist & AI Development Intern
Posted today
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- Assisting in the collection, cleaning, and preprocessing of large datasets.
- Supporting the development and training of machine learning models.
- Conducting exploratory data analysis (EDA) to identify patterns and trends.
- Contributing to the implementation of AI algorithms and solutions.
- Collaborating with senior team members on data visualization and reporting.
- Learning and applying statistical modeling techniques.
- Documenting code, methodologies, and findings.
- Participating in team meetings and brainstorming sessions.
- Gaining practical experience with data science tools and programming languages (e.g., Python, R).
- Assisting with the testing and validation of AI systems.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of fundamental statistical concepts and machine learning principles.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to producing accurate results.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
Graduate Software Engineer - AI Development (Remote)
Posted 2 days ago
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Responsibilities:
- Assist in the development and implementation of AI/ML models and applications.
- Write, test, and debug code primarily in Python.
- Support data collection, cleaning, and preprocessing for AI projects.
- Participate in code reviews and contribute to improving code quality.
- Collaborate with senior engineers on software development tasks.
- Assist in creating technical documentation and reports.
- Learn and apply best practices in software engineering and AI development.
- Contribute to team discussions and brainstorming sessions.
- Gain practical experience in a professional AI development environment.
- Support ongoing research and development initiatives.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, AI, or a related field.
- Strong understanding of programming principles, data structures, and algorithms.
- Proficiency in Python is essential.
- Familiarity with machine learning concepts and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus.
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication skills.
- Ability to work independently and collaborate effectively in a remote team.
- Eagerness to learn and adapt to new technologies.
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Remote AI Solutions Architect - Machine Learning & Data Science
Posted 2 days ago
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Key Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions tailored to client needs, leveraging cloud platforms and best practices.
- Lead the development, training, and deployment of various machine learning models, including supervised, unsupervised, and deep learning algorithms.
- Collaborate closely with data scientists, engineers, and business stakeholders to define project scope, technical requirements, and success criteria.
- Evaluate and select appropriate AI/ML tools, frameworks, and technologies for specific project requirements.
- Develop and maintain comprehensive technical documentation, including architecture diagrams, API specifications, and deployment guides.
- Provide technical leadership and guidance throughout the project lifecycle, from conceptualization to production deployment.
- Stay abreast of the latest advancements in AI, Machine Learning, and related emerging technologies.
- Troubleshoot and resolve complex technical issues related to AI model performance and system integration.
- Communicate technical concepts effectively to both technical and non-technical audiences.
- Contribute to the development of reusable AI components and best practices within the organization.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 10 years of experience in software engineering, with a significant focus (minimum 6 years) on designing and implementing AI/ML solutions.
- Proven expertise in machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python, R, or Scala, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent understanding of data architecture, data pipelines, and MLOps principles.
- Demonstrated ability to translate business problems into scalable AI solutions.
- Exceptional problem-solving, analytical, and architectural design skills.
- Strong communication and presentation skills, with the ability to influence technical and business leaders.
- Ability to work independently and collaboratively in a remote team environment.
- Must have a reliable internet connection and a dedicated professional workspace.
Senior Technical Recruiter - AI & Data Science
Posted 2 days ago
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Remote Graduate Program - AI & Data Science
Posted 2 days ago
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