650 AI & Emerging Technologies jobs in Kenya
Remote Principal Data Scientist - AI Research
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Remote Senior AI/ML Engineer - Emerging Technologies
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Lead AI Research Scientist - Generative Models
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Responsibilities:
- Conduct state-of-the-art research in AI and Machine Learning, with a focus on generative models (e.g., GANs, VAEs, Transformers).
- Develop, implement, and validate novel AI algorithms and models.
- Collaborate with a globally distributed team of researchers and engineers to translate research findings into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to building a strong research culture.
- Stay current with the latest advancements in AI and related fields.
- Design and execute experiments to evaluate model performance and identify areas for improvement.
- Work with large-scale datasets and high-performance computing infrastructure.
- Contribute to the intellectual property portfolio through patents and publications.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research contributions in AI, particularly in generative models, demonstrated through publications or open-source contributions.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote work environment.
- Ability to work independently and take initiative in a fast-paced research setting.
- Experience leading research projects or teams is highly desirable.
Remote Principal AI Research Scientist
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Senior AI Research Scientist (NLP)
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Key Responsibilities:
- Conduct in-depth research into advanced NLP topics such as transformer architectures, large language models (LLMs), sentiment analysis, named entity recognition, machine translation, and text summarization.
- Design, develop, and implement state-of-the-art NLP models and algorithms.
- Evaluate and benchmark model performance, identifying areas for improvement and optimization.
- Stay abreast of the latest advancements in AI, machine learning, and NLP through literature review and conference attendance.
- Collaborate with engineering teams to deploy trained models into production environments.
- Contribute to the company's intellectual property through publications and patent applications.
- Mentor junior researchers and provide technical guidance.
- Effectively communicate complex research findings to both technical and non-technical audiences.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Proven track record of significant contributions to NLP research, evidenced by publications in top-tier conferences or journals.
- Deep understanding of machine learning principles and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in programming languages such as Python, with proficiency in relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with large-scale data processing and distributed computing environments.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, essential for a remote-first environment.
- Demonstrated ability to work independently and manage projects effectively.
Senior AI Research Scientist (Remote)
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Senior AI Research Scientist - Generative Models
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critical role focused on advancing the state-of-the-art in generative models and artificial intelligence. You will be instrumental in developing and implementing novel algorithms, contributing to groundbreaking research, and pushing the boundaries of what's possible with AI. The ideal candidate will possess a deep theoretical understanding of machine learning, a strong track record of research publications, and hands-on experience with large-scale model training and deployment.
Responsibilities:
- Lead research initiatives in areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
- Design, develop, and implement novel AI algorithms and models, with a particular focus on generative approaches (e.g., GANs, VAEs, Diffusion Models, Large Language Models).
- Conduct rigorous experimental analysis to evaluate model performance and identify areas for improvement.
- Collaborate with cross-functional teams to integrate AI solutions into existing and new products and services.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
- Stay abreast of the latest advancements in AI and emerging technologies, identifying opportunities for strategic application.
- Contribute to the overall AI strategy and roadmap of the organization.
- Ensure responsible AI development practices, considering ethical implications and fairness.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of relevant research or industry experience in AI/ML.
- Proven expertise in developing and deploying deep learning models, especially generative models.
- Proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of linear algebra, calculus, probability, and statistics.
- Excellent problem-solving skills and a creative approach to research.
- Demonstrated ability to work independently and as part of a collaborative remote team.
- Strong communication and interpersonal skills.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- A portfolio of impactful AI projects or research publications is highly desirable.
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Principal Research Scientist - AI/ML
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Responsibilities:
- Lead cutting-edge research in artificial intelligence and machine learning.
- Develop novel algorithms and methodologies in areas like deep learning, NLP, and computer vision.
- Formulate research hypotheses and design rigorous experiments.
- Analyze large datasets to train and validate AI models.
- Publish research findings in leading scientific journals and conferences.
- Collaborate with a global team of researchers and engineers.
- Mentor junior researchers and contribute to team development.
- Stay abreast of the latest advancements and trends in AI/ML research.
- Contribute to the development of new AI-powered products and services.
- Translate theoretical research into practical applications.
- Present research progress and findings to internal and external stakeholders.
- Secure research grants and partnerships where applicable.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- Minimum of 8 years of post-doctoral research experience in AI/ML, with a significant publication record in top-tier venues.
- Deep expertise in one or more AI/ML subfields (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proficiency in Python and major ML frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong understanding of mathematical foundations of machine learning (linear algebra, calculus, probability, statistics).
- Experience with large-scale data processing and distributed computing.
- Proven ability to lead research projects and drive innovation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills.
- Ability to work effectively in a highly collaborative, remote research environment.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is a plus.
Senior AI Research Scientist - Machine Learning
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Key Responsibilities:
- Conduct groundbreaking research in areas such as deep learning, reinforcement learning, natural language processing, and computer vision.
- Develop, train, and evaluate sophisticated machine learning models for various applications.
- Design and implement scalable AI systems and pipelines.
- Stay abreast of the latest advancements in AI and machine learning research and apply them to our projects.
- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers, fostering their growth and development.
- Contribute to the strategic direction of our AI initiatives.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant research contributions in AI/ML, evidenced by publications or patents.
- Expertise in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Strong understanding of algorithms, data structures, and software engineering best practices.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote-first environment.
Principal AI Research Scientist (Remote)
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Responsibilities:
- Lead and conduct advanced research in key areas of artificial intelligence, including machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Design, implement, and evaluate novel AI algorithms and models.
- Collaborate with cross-functional teams to integrate AI solutions into existing and future products and services.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for new research directions.
- Develop and maintain robust, scalable, and efficient AI systems.
- Contribute to the strategic direction of the company's AI initiatives.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Drive the development of intellectual property through patents and publications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- 5+ years of post-graduate research experience in AI or ML, with a strong publication record.
- Proven expertise in one or more AI sub-fields (e.g., deep learning frameworks like TensorFlow/PyTorch, NLP, CV, RL).
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with large-scale data analysis and distributed computing environments.
- Demonstrated ability to lead research projects from conception to completion.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Experience working in a remote, collaborative environment.
- Ability to work independently and take initiative.