What Jobs are available for AI Researchers in Kenya?
Showing 1882 AI Researchers jobs in Kenya
AI Research Scientist - Computer Vision
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct research and development in computer vision, including object detection, image segmentation, facial recognition, and video analysis.
- Design, implement, and evaluate novel deep learning models and algorithms.
- Stay abreast of the latest research papers and advancements in AI and computer vision.
- Collaborate with other researchers and engineers to integrate AI models into products and services.
- Develop prototypes and proof-of-concepts for new AI applications.
- Analyze large datasets to train and refine machine learning models.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to patent applications and intellectual property development.
- Mentor junior researchers and contribute to the team's knowledge base.
- Ensure the ethical and responsible development of AI technologies.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, AI, or a related quantitative field.
- Proven track record of research excellence in computer vision, demonstrated by publications in leading venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Solid understanding of classical computer vision techniques.
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills to convey complex technical concepts.
- Ability to work independently and as part of a globally distributed research team.
- A passion for pushing the boundaries of artificial intelligence.
This fully remote role allows you to engage in high-impact AI research without geographical limitations. You will be working alongside world-class experts in a collaborative and intellectually stimulating environment. Our client is dedicated to fostering a culture of innovation and providing the resources needed for cutting-edge research. This is an exceptional opportunity for a visionary scientist to make significant contributions to the field of AI. The remote nature of this position ensures maximum flexibility and accessibility for top talent.
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AI Research Scientist (Deep Learning)
Posted 1 day ago
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AI Research Scientist (Deep Learning)
Posted 4 days ago
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Job Description
Responsibilities:
- Conduct fundamental and applied research in deep learning, neural networks, computer vision, natural language processing, or reinforcement learning.
- Design, implement, and evaluate novel AI models and algorithms.
- Stay abreast of the latest advancements in AI research and competitive landscape.
- Collaborate with cross-functional teams to translate research findings into practical applications and product features.
- Develop and maintain high-quality code for AI models and experiments, often in Python.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to the team's knowledge base.
- Analyze large-scale datasets to identify patterns and insights relevant to AI development.
- Contribute to the strategic direction of AI research within the organization.
- Develop benchmarks and evaluation metrics to assess the performance of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publications in leading AI conferences (e.g., NeurIPS, ICML, CVPR, ACL) or journals.
- Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs) and their applications.
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills, particularly in Python, and experience with libraries like NumPy, SciPy, and Pandas.
- Experience with big data technologies and cloud computing platforms (AWS, GCP, Azure) is a plus.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Strong written and verbal communication skills for presenting complex technical concepts.
- Ability to work independently and collaboratively in a distributed, remote environment.
- Demonstrated ability to initiate and lead research projects from conception to completion.
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Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
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AI Research Scientist (Machine Learning)
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct theoretical and applied research in machine learning, deep learning, and related AI fields.
- Design, develop, and implement novel ML algorithms and models for various applications.
- Experiment with new architectures, training methodologies, and optimization techniques.
- Analyze large datasets to extract insights and identify patterns relevant to AI development.
- Collaborate with product teams to translate research findings into practical applications and features.
- Stay abreast of the latest academic research and industry trends in AI and machine learning.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and interns, fostering a culture of innovation and learning.
- Contribute to the development of AI strategies and roadmaps.
- Write clean, efficient, and well-documented code for research prototypes and production systems.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research and publications in top-tier AI/ML venues.
- Strong theoretical foundation in machine learning, deep learning, statistical modeling, and optimization.
- Expertise in programming languages such as Python, and proficiency with ML frameworks like TensorFlow, PyTorch, or Keras.
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Demonstrated ability to work independently and drive research projects forward in a remote setting.
- Experience with cloud computing platforms (AWS, Azure, GCP) for ML workloads is a plus.
- Passion for pushing the boundaries of AI and emerging technologies.
This is an exceptional opportunity for a talented AI researcher to make significant contributions to groundbreaking AI advancements in a flexible, fully remote environment. If you are driven by discovery and eager to shape the future of artificial intelligence, we want to hear from you.
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Lead AI Research Scientist - Computer Vision
Posted 1 day ago
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Job Description
Key responsibilities include defining research roadmaps, designing novel neural network architectures, conducting rigorous experimentation, and publishing findings in top-tier AI conferences and journals. You will explore and implement state-of-the-art techniques in areas such as generative AI, reinforcement learning for vision tasks, and explainable AI. Experience with large-scale datasets and distributed training frameworks (e.g., TensorFlow, PyTorch) is essential. You will also contribute to intellectual property generation and stay abreast of the rapidly evolving AI landscape. As a fully remote lead, you will need exceptional leadership, communication, and project management skills to guide your team and stakeholders effectively. Your ability to foster a collaborative and innovative research environment, even across distances, will be critical. This role offers the chance to shape the future of AI-powered visual intelligence. The primary reference point for this exciting remote opportunity is Meru, Meru, KE , supporting our strategic technology development.
Key Responsibilities:
- Lead research and development efforts in computer vision and deep learning.
- Design, implement, and evaluate novel AI models and algorithms.
- Mentor and guide a team of AI researchers and engineers.
- Publish research findings in leading AI conferences and journals.
- Collaborate with product and engineering teams to integrate AI solutions.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision.
- Develop prototypes and proofs-of-concept for new AI applications.
- Contribute to the development of the company's AI strategy and roadmap.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 7+ years of research experience in computer vision and deep learning.
- Proven track record of publications in top AI conferences (e.g., CVPR, ICCV, NeurIPS).
- Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed training.
- Excellent leadership, communication, and problem-solving skills for a remote environment.
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Principal AI Research Scientist - Computer Vision
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Lead research initiatives in computer vision and deep learning.
- Design, implement, and evaluate novel AI models and algorithms.
- Publish research findings in leading AI conferences and journals.
- Mentor and guide junior research scientists and engineers.
- Collaborate with cross-functional teams to integrate research into products.
- Identify and explore new research directions and opportunities.
- Develop and maintain high-quality, well-documented code.
- Contribute to the company's intellectual property portfolio.
- Stay abreast of the latest advancements in AI and computer vision.
- Drive innovation and set technical direction for AI projects.
- Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on Computer Vision.
- Proven track record of significant publications in top AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Deep expertise in deep learning, CNNs, transformers, and various computer vision tasks.
- Strong programming skills in Python and experience with frameworks like TensorFlow or PyTorch.
- Experience with large-scale datasets and distributed computing/training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to conduct independent research and lead complex projects.
- Strong communication and collaboration skills for remote teamwork.
- Experience mentoring junior researchers is a plus.
- Demonstrated ability to translate research into practical applications.
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Lead AI Research Scientist - Deep Learning
Posted 1 day ago
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Job Description
Key Responsibilities:
- Lead the design and execution of research projects in areas such as computer vision, natural language processing, reinforcement learning, and generative models.
- Develop and implement state-of-the-art deep learning algorithms and models.
- Conduct rigorous experimentation, data analysis, and performance evaluation of AI systems.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Mentor junior researchers and guide their technical development.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Contribute to the strategic direction of the company's AI roadmap.
- Present complex research concepts to both technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in deep learning and AI.
- Proven track record of publications in leading AI venues.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (NumPy, SciPy, Pandas).
- Demonstrated ability to lead research teams and manage projects independently.
- Excellent analytical and problem-solving skills.
- Effective communication and collaboration skills, suitable for a remote work environment.
This is a unique opportunity to make a significant impact in the field of AI, working on cutting-edge research from your home office. The role is associated with Nyeri, Nyeri, KE , but will be performed remotely.
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Principal AI Research Scientist - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Lead and conduct fundamental and applied research in deep learning, machine learning, and related AI fields.
- Develop and implement state-of-the-art algorithms and models for complex AI problems, including areas like computer vision, natural language processing, and reinforcement learning.
- Design and execute experiments to validate research hypotheses and measure performance.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Stay current with the latest advancements in AI and machine learning research.
- Identify new research opportunities and develop proposals for future projects.
- Contribute to the intellectual property portfolio through patents and publications.
- Foster a culture of innovation and scientific rigor.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on research experience in deep learning and machine learning, with a strong publication record.
- Expertise in at least one of the following areas: computer vision, natural language processing, reinforcement learning, generative models.
- Proficiency in programming languages such as Python and relevant AI frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed training.
- Strong understanding of mathematical concepts underpinning machine learning (linear algebra, calculus, probability, statistics).
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative environment.
- Strong communication and presentation skills, with the ability to convey complex technical ideas clearly.
- Demonstrated ability to work independently and drive research initiatives forward.
This fully remote position based out of **Nyeri, Nyeri, KE**, offers the chance to work on impactful projects that will define the future. Join a team that values intellectual curiosity and scientific excellence.
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