2,420 Senior AI Research Scientist Deep Learning jobs in Kenya
Principal AI Scientist - Deep Learning
Posted 6 days ago
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Job Description
Our client is seeking a highly accomplished Principal AI Scientist with deep expertise in deep learning to lead their groundbreaking research and development efforts. This is a fully remote position, allowing you to work with a world-class team from anywhere in the globe. You will be at the forefront of innovation, driving the development of cutting-edge AI models and solutions that solve complex real-world problems. The ideal candidate will have a proven track record of developing and deploying advanced deep learning algorithms, a strong understanding of machine learning principles, and a passion for pushing the boundaries of artificial intelligence. Responsibilities include leading research initiatives, designing and implementing novel deep learning architectures, conducting experiments, analyzing results, and contributing to the publication of research findings. You will collaborate closely with data scientists, software engineers, and domain experts to translate research into impactful products and services. A deep understanding of various deep learning frameworks (e.g., TensorFlow, PyTorch), natural language processing, computer vision, and reinforcement learning is highly desirable. This role demands exceptional analytical skills, creativity, and the ability to mentor and guide other members of the AI team. As a Principal AI Scientist, you will play a critical role in setting the technical direction for AI at our client and shaping the future of intelligent systems. Key responsibilities include:
- Leading advanced research in deep learning and related AI fields.
- Designing, developing, and implementing novel deep learning models and algorithms.
- Conducting rigorous experimentation and evaluation of AI models.
- Translating research breakthroughs into practical applications and product features.
- Collaborating with cross-functional teams to integrate AI solutions into existing products and platforms.
- Mentoring and guiding junior AI scientists and engineers.
- Staying abreast of the latest advancements in AI research and applying them to our challenges.
- Contributing to research publications, patents, and conference presentations.
- Defining technical strategy and roadmap for AI initiatives.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Optimizing model performance and scalability for production environments.
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AI Research Scientist - Computer Vision
Posted 21 days ago
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Job Description
Our client is at the forefront of AI innovation and is looking for a brilliant AI Research Scientist specializing in Computer Vision to join their esteemed team in Kisumu. This role offers a hybrid work arrangement, combining the benefits of in-office collaboration with the flexibility of remote work. You will be instrumental in pushing the boundaries of artificial intelligence, conducting cutting-edge research, and developing novel computer vision models and algorithms. Your work will directly contribute to developing intelligent systems that can perceive, understand, and interpret visual information.
Responsibilities:
Qualifications:
Responsibilities:
- Conduct in-depth research into state-of-the-art computer vision techniques, including object detection, image segmentation, facial recognition, and 3D vision.
- Design, implement, and train deep learning models for complex computer vision tasks.
- Develop and prototype new algorithms and approaches to solve challenging visual perception problems.
- Collaborate with a team of researchers and engineers to integrate AI models into real-world applications and products.
- Stay updated with the latest academic research and industry trends in AI and computer vision.
- Publish research findings in leading conferences and journals.
- Contribute to the development of proprietary AI technologies and intellectual property.
- Analyze and interpret experimental results, providing insights and recommendations for further development.
- Mentor junior researchers and engineers on computer vision topics.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field with a specialization in Computer Vision.
- Proven track record of research and development in computer vision, demonstrated through publications or project portfolios.
- Strong theoretical understanding and practical experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++, and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with large-scale datasets and distributed training environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- A genuine passion for AI and a drive to innovate.
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AI/ML Research Scientist (Computer Vision)
Posted 20 days ago
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Job Description
Our client is seeking a brilliant and innovative AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements from the comfort of your home office. You will be at the forefront of developing novel algorithms and models for image recognition, object detection, and scene understanding. Your work will involve exploring state-of-the-art deep learning techniques, conducting rigorous experiments, and publishing research findings in leading AI conferences and journals. This role is ideal for a passionate researcher with a strong theoretical background and practical implementation skills.
Key responsibilities include:
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
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Lead AI Research Scientist - Computer Vision
Posted 21 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI and emerging technologies, is seeking an exceptional Lead AI Research Scientist specializing in Computer Vision. This senior role will drive innovation in image and video analysis, object detection, image segmentation, and related fields, contributing to groundbreaking AI applications. The ideal candidate will possess a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record and extensive experience in developing and deploying advanced computer vision models. You will lead a team of talented researchers, guide research direction, and collaborate with product development teams to translate research breakthroughs into tangible solutions.
This is a fully remote position, empowering you to conduct pioneering research from anywhere. Your responsibilities will include formulating research hypotheses, designing and executing experiments, and developing novel algorithms and architectures for computer vision tasks. You will leverage state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch) and extensive datasets to train and evaluate models. Mentoring junior scientists, publishing findings in top-tier conferences and journals, and staying ahead of the rapidly evolving AI landscape are key aspects of this role. We expect you to contribute to the intellectual property portfolio and potentially lead patent applications. Effective communication and collaboration with cross-functional teams, including software engineers and product managers, are essential for integrating research into product roadmaps. We seek a visionary leader with a passion for pushing the boundaries of artificial intelligence and a deep commitment to scientific rigor. Experience leading research projects and a strong understanding of the practical applications of computer vision are prerequisites. Experience working in a remote-first, globally distributed team is highly desirable. This is a unique opportunity to shape the future of AI from your home office.
Qualifications:
This is a fully remote position, empowering you to conduct pioneering research from anywhere. Your responsibilities will include formulating research hypotheses, designing and executing experiments, and developing novel algorithms and architectures for computer vision tasks. You will leverage state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch) and extensive datasets to train and evaluate models. Mentoring junior scientists, publishing findings in top-tier conferences and journals, and staying ahead of the rapidly evolving AI landscape are key aspects of this role. We expect you to contribute to the intellectual property portfolio and potentially lead patent applications. Effective communication and collaboration with cross-functional teams, including software engineers and product managers, are essential for integrating research into product roadmaps. We seek a visionary leader with a passion for pushing the boundaries of artificial intelligence and a deep commitment to scientific rigor. Experience leading research projects and a strong understanding of the practical applications of computer vision are prerequisites. Experience working in a remote-first, globally distributed team is highly desirable. This is a unique opportunity to shape the future of AI from your home office.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- Minimum of 7 years of post-doctoral research experience in AI/ML, with a significant focus on computer vision.
- Proven track record of developing and implementing deep learning models for image recognition, object detection, segmentation, and generative tasks.
- Expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong publication record in top AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS).
- Experience leading research teams and managing projects.
- Excellent analytical, problem-solving, and communication skills.
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Principal AI Research Scientist - Computer Vision
Posted 21 days ago
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Job Description
Our client, a pioneering force in AI and Emerging Technologies, is seeking a distinguished Principal AI Research Scientist specializing in Computer Vision to join their globally distributed, fully remote research team. This role is at the forefront of innovation, pushing the boundaries of what's possible in image and video understanding. You will conceptualize, design, and implement novel algorithms and models, publish groundbreaking research, and contribute to the development of next-generation AI products. The ideal candidate possesses a Ph.D. in Computer Vision or a closely related field, a strong publication record, and extensive experience in deep learning frameworks.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in computer vision, including object detection, image segmentation, facial recognition, and video analysis.
- Develop and implement state-of-the-art deep learning models and algorithms.
- Design and execute experiments to validate research hypotheses.
- Publish findings in top-tier AI/ML conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Mentor junior researchers and engineers, fostering a culture of scientific rigor.
- Stay abreast of the latest advancements in computer vision and machine learning.
- Contribute to the strategic direction of AI research within the organization.
- Explore novel applications of computer vision across various domains.
- Ph.D. in Computer Science, Electrical Engineering, or a related field, with a specialization in Computer Vision.
- 10+ years of post-doctoral or industry research experience in computer vision.
- Exceptional track record of publications in leading AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++.
- Strong understanding of image processing, pattern recognition, and machine learning theory.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, able to articulate complex technical concepts clearly.
- Proven ability to lead research initiatives and mentor teams.
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Lead AI Research Scientist - Deep Learning
Posted 21 days ago
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Job Description
Our client is a pioneering force in artificial intelligence and is seeking a visionary Lead AI Research Scientist specializing in Deep Learning to join their fully remote team. This role is at the forefront of developing cutting-edge AI solutions that will shape the future of technology. You will be instrumental in conceiving, designing, and implementing novel deep learning models and algorithms to address complex challenges across various domains. The responsibilities include conducting state-of-the-art research, publishing findings, and contributing to intellectual property. You will lead a team of talented AI researchers and engineers, fostering a collaborative and innovative environment. The ideal candidate will have a proven track record of impactful research in areas such as computer vision, natural language processing, or reinforcement learning. Expertise in frameworks like TensorFlow, PyTorch, or Keras is a prerequisite. You will also be involved in the end-to-end lifecycle of AI projects, from ideation and prototyping to deployment and scaling. Strong communication and presentation skills are essential for sharing research outcomes with both technical and non-technical stakeholders. A Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with at least 5 years of post-graduate research experience, is required. This is a unique opportunity to drive innovation in AI from your remote workstation, contributing to groundbreaking projects in Kitale, Trans-Nzoia, KE , and beyond.
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5
Principal AI Research Scientist - Deep Learning
Posted 11 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a visionary Principal AI Research Scientist specializing in Deep Learning to join their fully remote research division. This is a unique opportunity to shape the future of artificial intelligence by pushing the boundaries of what's possible. You will lead groundbreaking research projects, develop novel algorithms, and contribute to cutting-edge AI products. As a fully remote position, you will collaborate with a global team of brilliant minds, leveraging advanced tools and platforms to conduct your work.
Responsibilities:
Qualifications:
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.
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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6
Senior AI Research Scientist (Deep Learning)
Posted 21 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning to join their pioneering team. This is a fully remote, impactful role where you will drive innovation in artificial intelligence and machine learning. You will be instrumental in conceptualizing, designing, and implementing cutting-edge AI models and algorithms that solve complex real-world problems. Your work will directly contribute to the development of next-generation AI products and services.
Responsibilities:
Responsibilities:
- Conduct in-depth research into advanced deep learning techniques, including but not limited to, convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and generative adversarial networks (GANs).
- Develop and prototype novel AI algorithms and models, rigorously testing their performance and efficiency.
- Collaborate closely with cross-functional teams, including software engineers and data scientists, to integrate AI solutions into production environments.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for application within the company's strategic goals.
- Publish research findings in top-tier conferences and journals, representing the company's thought leadership in AI.
- Mentor junior researchers and contribute to a culture of continuous learning and knowledge sharing.
- Design and execute experiments to validate AI models, analyzing results and iterating for improvement.
- Work with large datasets, ensuring data quality, pre-processing, and feature engineering for optimal model training.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant contributions to the field of deep learning, demonstrated through publications, patents, or open-source projects.
- Expertise in programming languages such as Python, and proficiency with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of linear algebra, calculus, probability, and statistics.
- Experience with cloud platforms (AWS, Azure, GCP) for AI model development and deployment.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
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7
Senior AI Research Scientist - Computer Vision
Posted 21 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Computer Vision to join our cutting-edge team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in advancing our state-of-the-art AI capabilities, focusing on the development and implementation of novel computer vision algorithms and models. Your work will directly impact the future of artificial intelligence applications across various industries. The ideal candidate possesses a deep understanding of deep learning frameworks, image processing techniques, and machine learning methodologies. You will collaborate with a global team of researchers and engineers, contributing to the entire AI lifecycle from ideation and research to prototyping and deployment. Key responsibilities include conducting theoretical and empirical research in computer vision, developing and evaluating novel algorithms for tasks such as object detection, image segmentation, and facial recognition, and staying abreast of the latest advancements in AI and machine learning. You will also be expected to publish research findings in leading academic conferences and journals, mentor junior researchers, and contribute to the strategic direction of our AI initiatives. This role requires a strong analytical mindset, excellent problem-solving skills, and the ability to translate complex research concepts into practical applications. The ability to work independently and as part of a distributed team is crucial. We are looking for individuals passionate about pushing the boundaries of what's possible with AI. Join us in shaping the future of technology from the comfort of your own home. The opportunity to work on groundbreaking projects and collaborate with world-class talent makes this a truly unique career prospect. The vibrant community of **Kericho, Kericho, KE** is the official location for this role, although it is performed remotely.
Responsibilities:
Responsibilities:
- Lead research and development of advanced computer vision algorithms.
- Design, implement, and optimize deep learning models for image and video analysis.
- Conduct rigorous experimentation and validation of AI models.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Stay updated with the latest research trends and publications in AI and computer vision.
- Mentor junior scientists and engineers.
- Publish research findings in top-tier venues.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Proven track record of research and publications in computer vision or deep learning.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Strong knowledge of image processing techniques and machine learning algorithms.
- Excellent communication and collaboration skills.
- Experience with large-scale datasets and distributed computing is a plus.
- Demonstrated ability to work independently and drive projects to completion.
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8
Remote AI Research Scientist (Computer Vision)
Posted 11 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is seeking a brilliant and motivated Remote AI Research Scientist specializing in Computer Vision to join their cutting-edge team. This is a fully remote role, perfect for researchers who thrive in a collaborative, yet autonomous, virtual environment. The ideal candidate will have a strong academic background and practical experience in developing and implementing advanced computer vision algorithms and deep learning models. You will contribute to groundbreaking projects that push the boundaries of artificial intelligence, with a focus on real-world applications.
Key Responsibilities:
Key Responsibilities:
- Conduct theoretical and applied research in computer vision, focusing on areas such as image recognition, object detection, segmentation, and 3D reconstruction.
- Design, develop, and implement state-of-the-art deep learning models for computer vision tasks.
- Experiment with new algorithms, architectures, and techniques to advance AI capabilities.
- Analyze and interpret complex datasets, preparing them for model training and evaluation.
- Evaluate the performance of AI models and algorithms, identifying areas for improvement.
- Collaborate with other researchers and engineers to integrate AI solutions into products and platforms.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research through literature review and conference participation.
- Publish research findings in top-tier academic journals and present at international conferences.
- Develop prototypes and proof-of-concepts for novel AI applications.
- Contribute to the intellectual property portfolio through patents and publications.
- Mentor junior researchers and contribute to the team's scientific growth.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field with a specialization in Computer Vision.
- Strong publication record in reputable AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or journals.
- Proven experience in developing deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages such as Python, and experience with libraries like OpenCV, scikit-learn, NumPy.
- Solid understanding of mathematical concepts underlying AI and computer vision (linear algebra, calculus, probability, statistics).
- Ability to work independently, manage research projects, and collaborate effectively in a remote setting.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills to articulate complex research ideas clearly.
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