989 Junior AI jobs in Kenya
Senior AI Ethicist, Responsible AI Development
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Key Responsibilities:
- Develop, implement, and refine ethical guidelines and principles for AI development and deployment.
- Conduct thorough ethical risk assessments and impact analyses for AI projects throughout their lifecycle.
- Advise AI researchers, engineers, and product managers on ethical considerations related to data privacy, bias detection and mitigation, fairness, transparency, and accountability.
- Develop and deliver training programs on AI ethics and responsible AI practices for internal teams.
- Stay abreast of evolving regulations, industry standards, and academic research in AI ethics and governance.
- Collaborate with legal, policy, and external stakeholders to ensure compliance and promote ethical AI practices.
- Facilitate discussions and provide guidance on complex ethical dilemmas arising from AI applications.
- Develop mechanisms for monitoring and auditing AI systems for adherence to ethical standards.
- Contribute to the company's public communication and thought leadership on AI ethics.
- Engage with external organizations and communities to advance the field of responsible AI.
- Advocate for human-centric AI design and deployment.
- Advanced degree (Master's or PhD) in Philosophy, Ethics, Law, Computer Science, Sociology, or a related field with a specialization in AI ethics or technology policy.
- Minimum of 6 years of experience in AI ethics, technology governance, policy development, or a related field, with a strong focus on artificial intelligence.
- Deep understanding of AI technologies, machine learning concepts, and their societal implications.
- Knowledge of ethical theories, principles of fairness, bias mitigation techniques, and data privacy regulations (e.g., GDPR).
- Experience in developing ethical frameworks, conducting risk assessments, and implementing governance structures.
- Strong analytical, research, and critical thinking skills.
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex ethical concepts to diverse audiences.
- Demonstrated ability to work collaboratively in a cross-functional team environment.
- Familiarity with AI development lifecycles and best practices for responsible innovation.
- Experience in public speaking or contributing to policy discussions is a plus.
Senior AI Ethicist - Responsible AI Development
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Senior Program Manager, AI Product Development
Posted 5 days ago
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AI/Machine Learning Engineer
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Responsibilities:
- Design, develop, and implement machine learning models and algorithms for various applications.
- Process, clean, and transform large datasets for model training and evaluation.
- Evaluate model performance and implement improvements through iterative development.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
- Research and stay abreast of the latest advancements in AI, machine learning, and deep learning.
- Develop and maintain robust ML pipelines for data ingestion, model training, and deployment.
- Build and optimize scalable AI systems and infrastructure.
- Communicate complex technical concepts to both technical and non-technical audiences.
- Contribute to the architectural design of AI-driven features and products.
- Write clean, efficient, and well-documented code in Python or other relevant languages.
- Deploy ML models into production environments and monitor their performance.
- Troubleshoot and resolve issues related to AI model performance and deployment.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 3 years of experience in developing and deploying machine learning models.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Strong understanding of statistical modeling, data mining, and algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving, analytical, and critical-thinking skills.
- Ability to work effectively both independently and as part of a remote team.
- Strong communication and collaboration skills.
- Experience with MLOps practices is a significant plus.
- Knowledge of natural language processing (NLP) or computer vision is advantageous.
AI/Machine Learning Engineer
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AI/Machine Learning Engineer
Posted today
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Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Collect, clean, and preprocess large datasets for ML training.
- Train, evaluate, and optimize the performance of ML models.
- Develop and deploy ML solutions into production environments.
- Stay abreast of the latest advancements in AI and ML research.
- Collaborate with data scientists and software engineers on AI projects.
- Develop APIs for ML models and integrate them into applications.
- Document ML models, methodologies, and experimental results.
- Identify opportunities for applying AI/ML to solve business challenges.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in developing and deploying ML models in a production environment.
- Strong proficiency in Python and ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of statistical modeling and data analysis techniques.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Ability to work independently in a remote setting.
AI Ethicist
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- Developing and implementing ethical frameworks for AI development.
- Conducting ethical reviews of AI projects and algorithms.
- Identifying and mitigating bias in AI systems.
- Ensuring transparency and explainability in AI decision-making.
- Advising on the societal impact of AI technologies.
- Collaborating with cross-functional teams on ethical AI implementation.
- Staying abreast of advancements in AI and ethical AI research.
- Contributing to AI ethics policy and governance discussions.
- Engaging with stakeholders on AI ethics concerns.
- Creating educational materials on responsible AI practices.
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AI Ethicist
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Senior AI Engineer - Machine Learning
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Senior AI / Machine Learning Engineer
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Responsibilities:
- Design, develop, and implement machine learning models and AI algorithms.
- Manage the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, and evaluation.
- Utilize Python and popular ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Deploy ML models into production environments, ensuring scalability and performance.
- Work with cloud ML platforms (AWS SageMaker, Azure ML, Google AI Platform).
- Analyze and interpret complex datasets to extract actionable insights.
- Collaborate with data engineers and software engineers to integrate ML solutions.
- Stay current with advancements in AI and machine learning research.
- Mentor junior ML engineers and share knowledge.
- Develop and maintain documentation for ML models and processes.
- Master's or Ph.D. in Computer Science, AI, Data Science, Statistics, or a related quantitative field.
- 5+ years of professional experience in AI/Machine Learning engineering.
- Strong programming skills in Python.
- In-depth knowledge of ML frameworks like TensorFlow, PyTorch, scikit-learn.
- Experience with cloud platforms and their ML services.
- Proficiency in data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Understanding of statistical modeling, algorithms, and data structures.
- Experience with MLOps principles and tools is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities in a remote team setting.