368 AI Researcher jobs in Nairobi
Junior Data Scientist for AI Research
Posted 19 days ago
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Key Responsibilities:
- Assist in the collection, cleaning, and pre-processing of large datasets for AI model training.
- Support the development and implementation of machine learning models and algorithms under the guidance of senior researchers.
- Conduct exploratory data analysis to identify patterns and insights relevant to research objectives.
- Help in the evaluation and validation of model performance using various metrics.
- Contribute to the documentation of research findings, methodologies, and code.
- Participate in team meetings and brainstorming sessions to discuss project progress and future directions.
- Research and present relevant academic papers and industry trends in AI and ML.
- Assist in the preparation of research reports and presentations for internal and external audiences.
- Implement and test new AI techniques and frameworks.
- Collaborate with other interns and team members on assigned tasks.
- Ensure code is well-documented and follows best practices for reproducibility.
- Learn and apply advanced statistical and computational techniques relevant to AI research.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field.
- Solid understanding of fundamental machine learning concepts and algorithms.
- Proficiency in Python and experience with relevant libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
- Familiarity with data manipulation and analysis techniques.
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills, both written and verbal, with the ability to articulate technical concepts clearly.
- Ability to work effectively in a remote, collaborative team environment.
- Eagerness to learn and adapt to new technologies and research challenges.
- Previous exposure to AI research projects or Kaggle competitions is a plus.
- Demonstrated passion for artificial intelligence and its applications.
This is a fully remote internship position, providing a flexible and dynamic work experience. You will gain invaluable experience and contribute to meaningful AI research from wherever you are.
AI Research Scientist - Computer Vision
Posted 9 days ago
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Principal AI Research Scientist - Computer Vision
Posted 14 days ago
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Junior Data Scientist - Machine Learning Applications
Posted 19 days ago
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AI Research Scientist - Machine Learning
Posted 3 days ago
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Principal Research Scientist - AI & Machine Learning
Posted 18 days ago
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Principal AI Research Scientist - Machine Learning
Posted 3 days ago
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Senior AI Research Scientist - Computer Vision
Posted 19 days ago
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Responsibilities:
- Conduct advanced research in AI, particularly in areas such as image recognition, object detection, segmentation, and generative models.
- Design, develop, and implement novel algorithms and models using state-of-the-art machine learning techniques.
- Collaborate with a multidisciplinary team of engineers and researchers to translate research findings into practical applications.
- Stay abreast of the latest advancements in AI and machine learning, and proactively identify opportunities for innovation.
- Lead and mentor junior researchers and engineers, fostering a collaborative and high-performing team environment.
- Publish research findings in top-tier conferences and journals.
- Develop and maintain robust, scalable, and efficient AI systems.
- Contribute to the strategic direction of the AI research roadmap.
- Ensure the ethical and responsible development and deployment of AI technologies.
- 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 computer vision and deep learning.
- Strong theoretical and practical understanding of various machine learning algorithms, including deep neural networks (CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Experience with large-scale datasets and distributed training.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and as part of a remote team.
- Experience in leading research projects is a plus.
Remote AI Research Scientist - Computer Vision
Posted 19 days ago
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Principal Research Scientist - AI/ML
Posted 3 days ago
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Core Responsibilities:
- Lead and conduct independent research in state-of-the-art AI and Machine Learning areas, including deep learning, reinforcement learning, natural language processing, computer vision, or other relevant fields.
- Develop novel algorithms, models, and methodologies to solve complex scientific and technical challenges.
- Design and execute rigorous experiments, analyze results, and draw meaningful conclusions.
- Publish research findings in top-tier scientific journals and present at leading international conferences.
- Collaborate with a diverse team of world-class scientists and engineers in a virtual environment.
- Mentor junior researchers and contribute to the intellectual leadership of the research group.
- Stay abreast of the latest advancements in AI/ML and identify emerging research trends and opportunities.
- Develop prototypes and proof-of-concepts to demonstrate the viability of new research ideas.
- Contribute to patent applications and intellectual property generation.
- Ensure research projects align with the company's strategic objectives and technological roadmap.
Required Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- 10+ years of post-Ph.D. research experience in AI/ML, with a proven track record of significant contributions and publications.
- Expertise in one or more core AI/ML areas (e.g., deep learning frameworks like TensorFlow/PyTorch, NLP, computer vision, reinforcement learning).
- Strong programming skills in languages such as Python, with experience in relevant scientific libraries.
- Demonstrated ability to formulate research problems, design experiments, and interpret complex data.
- Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts to diverse audiences.
- Proven experience in leading research projects and mentoring junior scientists.
- Ability to thrive in a fully remote, collaborative, and intellectually stimulating research environment.
- Strong critical thinking and problem-solving abilities.