254 AI Researcher jobs in Kenya
Lead AI Researcher
Posted 1 day ago
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- Leading and mentoring a team of AI researchers and engineers.
- Defining research strategies and roadmaps for AI advancements.
- Conducting cutting-edge research in areas such as deep learning, NLP, and computer vision.
- Designing and implementing novel AI algorithms and models.
- Analyzing experimental results and drawing actionable insights.
- Publishing research findings in top-tier conferences and journals.
- Collaborating with product teams to integrate research outcomes into practical solutions.
- Securing intellectual property and patent applications.
- Staying abreast of the latest AI research and technological trends.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 8+ years of experience in AI research and development, with a significant publication record.
- Demonstrated expertise in one or more AI subfields (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proven experience leading research teams and managing complex projects.
- Proficiency in programming languages like Python and ML frameworks (TensorFlow, PyTorch).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills for effective remote collaboration.
- Experience with cloud computing platforms and distributed systems.
- Ability to translate complex research concepts into understandable terms.
Principal AI Researcher
Posted 3 days ago
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Senior AI Researcher - Machine Learning
Posted 4 days ago
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Responsibilities:
- Lead the design and implementation of advanced machine learning algorithms and models.
- Conduct cutting-edge research in areas such as deep learning, NLP, computer vision, or reinforcement learning.
- Analyze and interpret large, complex datasets to identify patterns and generate insights.
- Develop and prototype novel AI solutions, and collaborate on their integration into products.
- Publish research findings in leading academic conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Mentor and guide junior AI researchers and engineers.
- Collaborate with cross-functional teams to define research objectives and project roadmaps.
- Present research results and technical findings to both technical and non-technical stakeholders.
- Contribute to the strategic direction of the AI research group.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 6 years of post-doctoral research experience in machine learning.
- Proven track record of significant research contributions, evidenced by publications in top AI venues.
- Deep understanding of machine learning theory and practical application.
- Expertise in one or more subfields such as deep learning, NLP, computer vision, or reinforcement learning.
- Proficiency in programming languages like Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies and distributed computing is a plus.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to explain complex concepts effectively.
- Demonstrated ability to work independently and lead research projects in a remote setting.
Lead AI Researcher - Quantum Machine Learning
Posted today
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Job Description
Responsibilities:
- Conceptualize, design, and execute innovative research projects in quantum machine learning.
- Develop and implement novel quantum algorithms for machine learning tasks.
- Analyze and interpret complex experimental and simulation data.
- Publish research findings in top-tier academic journals and present at international conferences.
- Collaborate closely with quantum computing hardware engineers and software developers.
- Mentor and guide junior researchers and post-doctoral fellows.
- Secure research grants and funding opportunities.
- Contribute to the strategic direction of the research group.
- Develop and maintain strong relationships with academic and industry partners.
- Ensure ethical considerations are addressed in all research endeavors.
- Translate theoretical breakthroughs into practical applications and proofs-of-concept.
Qualifications:
- Ph.D. in Physics, Computer Science, Mathematics, or a related field with a strong focus on quantum computing or machine learning.
- Minimum of 7 years of post-doctoral research experience in AI, quantum computing, or a closely related area.
- Demonstrated expertise in quantum algorithms, quantum information theory, and quantum machine learning techniques.
- Proficiency in programming languages like Python, C++, and quantum programming frameworks (e.g., Qiskit, Cirq, PennyLane).
- Strong understanding of machine learning principles, deep learning, and statistical modeling.
- Experience with high-performance computing environments and cloud platforms.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Proven leadership capabilities and experience managing research teams.
- Ability to work independently and thrive in a fast-paced, collaborative remote research environment.
- A portfolio of significant research contributions, including publications and patents, is essential.
- Experience in developing proposals for funding bodies is highly desirable.
Lead AI Researcher - Natural Language Processing
Posted 2 days ago
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Responsibilities include:
- Leading research initiatives in NLP, focusing on areas such as machine translation, sentiment analysis, text summarization, and question answering.
- Designing, developing, and implementing advanced NLP models and algorithms.
- Collaborating with cross-functional teams of engineers and product managers to integrate research findings into practical applications.
- Publishing research findings in top-tier AI conferences and journals.
- Mentoring junior researchers and guiding their technical development.
- Evaluating and benchmarking new NLP techniques and technologies.
- Securing and managing research grants and collaborations.
- Contributing to the intellectual property portfolio of the company.
The successful candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in NLP. Proven experience (5+ years) in leading AI research projects and delivering impactful results is essential. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python) is required. A deep understanding of statistical NLP, machine learning, and deep learning techniques is crucial. Excellent communication, collaboration, and problem-solving skills are necessary for this remote role. This position is based in the region of Bungoma, Bungoma, KE , and operates entirely remotely.
Senior AI Researcher - Natural Language Processing
Posted 2 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing.
- Develop and implement advanced NLP algorithms and models.
- Explore and apply deep learning techniques to NLP tasks.
- Publish research findings in leading academic venues.
- Collaborate with engineering teams to deploy NLP solutions.
- Mentor junior researchers and contribute to team growth.
- Stay informed about the latest research trends and advancements in AI and NLP.
- Design and execute experiments to validate hypotheses.
- Ph.D. or Master's degree in Computer Science, Computational Linguistics, AI, or a related field.
- Significant research experience and publications in NLP.
- Expertise in deep learning for NLP (Transformers, RNNs, CNNs).
- Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow).
- Experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for technical and non-technical audiences.
- Ability to work independently and collaboratively in a remote setting.
Principal AI Researcher - Natural Language Processing (NLP)
Posted today
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Job Description
Key Responsibilities:
- Lead research initiatives in advanced Natural Language Processing (NLP) domains, including but not limited to, deep learning for language understanding, generation, translation, sentiment analysis, and dialogue systems.
- Conceptualize, design, and implement novel AI models and algorithms to solve challenging NLP problems.
- Conduct rigorous theoretical and empirical research, publish findings in top-tier conferences and journals.
- Collaborate with a diverse team of AI researchers, engineers, and data scientists to translate research into practical applications and products.
- Stay at the forefront of AI and NLP research by actively monitoring academic literature and industry trends.
- Develop and mentor junior researchers, fostering a collaborative and innovative research environment.
- Design and execute experiments to evaluate the performance of NLP models and systems.
- Contribute to the development of AI strategies and roadmaps.
- Identify opportunities for intellectual property development and patent applications.
- Present research findings to technical and non-technical audiences, including senior leadership and external stakeholders.
- Ensure the ethical development and deployment of AI technologies.
- Manage research projects, including planning, execution, and reporting.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong specialization in Natural Language Processing.
- Minimum of 7 years of hands-on research experience in NLP, with a proven track record of significant contributions (publications, patents, open-source projects).
- Deep expertise in machine learning techniques, particularly deep learning architectures relevant to NLP (e.g., Transformers, RNNs, LSTMs, CNNs).
- Proficiency in programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, Hugging Face Transformers, NLTK, spaCy.
- Experience with large-scale datasets and distributed computing environments.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to articulate complex research concepts clearly.
- Proven ability to lead research projects and mentor team members in a remote setting.
- Strong collaboration and teamwork skills.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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AI Ethics Researcher
Posted 5 days ago
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AI Ethics Researcher
Posted 6 days ago
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Senior AI Ethics Researcher
Posted today
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Responsibilities:
- Lead research initiatives on AI ethics, focusing on areas such as bias, fairness, transparency, accountability, and privacy.
- Develop and refine ethical guidelines, policies, and standards for AI development and deployment.
- Collaborate closely with AI researchers, engineers, and product managers to integrate ethical considerations into the entire AI lifecycle.
- Conduct ethical risk assessments and impact analyses for new AI projects and features.
- Stay abreast of the latest advancements in AI, machine learning, and related ethical and societal concerns.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and contribute to building a strong ethical AI culture within the organization.
- Engage with external stakeholders, including policymakers, academics, and civil society organizations, to foster dialogue on AI ethics.
- Ph.D. in Computer Science, Philosophy, Ethics, Sociology, or a related field with a specialization in AI ethics or responsible AI.
- 5+ years of experience in AI ethics research, policy development, or related consulting.
- Proven track record of publishing high-impact research in reputable venues.
- Deep understanding of machine learning concepts and their societal implications.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to articulate complex ethical concepts to diverse audiences.
- Experience in developing and implementing ethical frameworks and governance structures.
- Ability to work independently and collaboratively in a remote, fast-paced environment.