2,562 AI Research Scientist Computer Vision jobs in Kenya
AI Research Scientist - Machine Learning
Posted 20 days ago
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Job Description
Our client, a cutting-edge AI and Emerging Technologies firm, is seeking an exceptionally talented AI Research Scientist specializing in Machine Learning. This role offers a Hybrid work arrangement, combining the benefits of remote flexibility with in-office collaboration. You will be at the forefront of developing novel AI algorithms and solutions that push the boundaries of what's possible. Your responsibilities will include designing, implementing, and evaluating advanced machine learning models for diverse applications. This role demands a strong theoretical foundation in AI and ML, coupled with practical experience in translating research into tangible products. You will work on cutting-edge projects, analyze complex datasets, and contribute to high-impact research publications and patents. The ability to identify critical research questions, experiment with novel approaches, and effectively communicate complex technical concepts to both technical and non-technical audiences is paramount. We are seeking a highly innovative and driven individual with a passion for artificial intelligence and a proven track record in machine learning research. The ideal candidate possesses excellent programming skills, a deep understanding of deep learning frameworks, and a collaborative spirit. This is a unique opportunity to contribute to transformative technologies within a dynamic and forward-thinking organization.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence
- Develop, implement, and optimize novel ML algorithms and deep learning models
- Analyze large and complex datasets to extract meaningful insights and drive model performance
- Design and execute experiments to validate research hypotheses
- Collaborate with cross-functional teams to integrate AI solutions into products and services
- Publish research findings in top-tier conferences and journals
- Develop and maintain robust, scalable, and efficient AI systems
- Stay abreast of the latest advancements in AI/ML research and industry trends
- Contribute to intellectual property development, including patents and white papers
- Mentor junior researchers and interns
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
- Minimum of 5 years of research experience in machine learning or AI
- Strong theoretical foundation in statistical modeling, deep learning, and reinforcement learning
- Proficiency in programming languages such as Python, Java, or C++
- Extensive experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras)
- Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP)
- Proven track record of publications in leading AI conferences and journals
- Excellent analytical, problem-solving, and critical thinking skills
- Strong communication and presentation skills, with the ability to explain complex concepts clearly
- Ability to work both independently and collaboratively in a team-oriented environment
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Principal AI Research Scientist - Machine Learning
Posted 20 days ago
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Job Description
Our client is seeking a visionary Principal AI Research Scientist to lead groundbreaking research in Machine Learning and AI. This is a fully remote position, enabling you to contribute from anywhere in the world to the forefront of artificial intelligence innovation. You will spearhead the development of novel AI algorithms, models, and systems, pushing the boundaries of what's possible in areas such as deep learning, natural language processing, computer vision, and reinforcement learning. Responsibilities include conducting original research, designing and implementing state-of-the-art ML models, publishing findings in top-tier scientific venues, and mentoring a team of talented AI researchers. You will collaborate closely with engineering teams to translate research breakthroughs into production-ready AI solutions. The ideal candidate will have a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a substantial and impactful publication record in leading AI conferences and journals. A minimum of 10 years of post-doctoral research experience in AI/ML is required, with demonstrated experience in leading research projects and driving innovation. Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch) and strong programming skills in Python are mandatory. A deep understanding of various ML paradigms, including supervised, unsupervised, and self-supervised learning, is essential. Proven ability to formulate research questions, design experiments, and interpret complex results is crucial. Exceptional problem-solving skills and the ability to think critically and creatively about challenging AI problems are a must. This is an unparalleled opportunity to shape the future of AI. Join our elite, remote-first research group supporting our innovation hub based near **Naivasha, Nakuru, KE**.
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Lead AI Research Scientist - Deep Learning
Posted 20 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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Principal AI Research Scientist - Deep Learning
Posted 20 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a highly accomplished Principal AI Research Scientist to lead cutting-edge research and development in deep learning. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking projects from anywhere. You will be responsible for conceiving, designing, and implementing novel AI algorithms and models to solve complex real-world problems. Your work will involve extensive research, experimentation, and collaboration with a team of world-class engineers and scientists. You will publish research findings in leading academic journals and present at international conferences. The ideal candidate will have a Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record and significant experience in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Expertise in areas like natural language processing, computer vision, reinforcement learning, or generative models is highly desirable. You will mentor junior researchers, guide project roadmaps, and contribute to the strategic direction of our AI initiatives. This role demands exceptional analytical and problem-solving skills, creativity, and the ability to work independently and collaboratively in a remote setting. You will be pushing the boundaries of AI, developing solutions that will shape future technologies, with a focus on applications relevant to the **Bungoma, Bungoma, KE** region. A deep understanding of mathematics, statistics, and machine learning principles is fundamental. We are looking for a visionary leader who can inspire innovation and drive significant advancements in artificial intelligence. Your passion for discovery and your commitment to scientific rigor will be key to your success in this transformative role.
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Lead AI Research Scientist - Machine Learning
Posted 20 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a brilliant Lead AI Research Scientist specializing in Machine Learning. This is a fully remote, critical role where you will spearhead groundbreaking research and development in artificial intelligence. You will lead a team of talented researchers, design and implement novel ML algorithms, and contribute to the development of cutting-edge AI products. Your work will involve pushing the boundaries of current AI capabilities and shaping the future of intelligent systems. A strong publication record and deep theoretical understanding are essential.
Responsibilities:
Responsibilities:
- Lead and mentor a team of AI researchers and engineers in the design and implementation of advanced machine learning models and algorithms.
- Define research objectives and develop innovative approaches to solve complex AI challenges.
- Conduct rigorous research, including experimentation, analysis, and validation of new AI techniques.
- Develop and implement state-of-the-art ML algorithms for applications such as natural language processing, computer vision, predictive analytics, and reinforcement learning.
- Design and manage large-scale datasets for training and evaluating AI models.
- Collaborate with product development teams to integrate research findings into practical AI solutions.
- Stay abreast of the latest advancements in AI, ML, deep learning, and related fields through continuous learning and participation in academic conferences.
- Publish research findings in top-tier journals and conferences.
- Contribute to the intellectual property portfolio of the company through patent applications.
- Evaluate and adopt new technologies and methodologies to enhance research capabilities.
- Effectively communicate complex research concepts to both technical and non-technical audiences.
- Drive innovation and foster a culture of scientific excellence within the AI research team.
- This position demands exceptional intellectual curiosity, a passion for discovery, and the ability to lead and inspire a high-performing remote research group.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 8 years of experience in AI research and development, with a significant focus on machine learning.
- Proven track record of leading research projects and delivering impactful results.
- Deep theoretical and practical understanding of various ML paradigms (supervised, unsupervised, reinforcement learning, deep learning).
- Proficiency in programming languages such as Python, R, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies and distributed computing frameworks.
- Strong publication record in leading AI/ML conferences and journals.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional leadership, communication, and interpersonal skills.
- Ability to work independently and collaboratively in a remote research environment.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
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AI Research Scientist - Machine Learning Applications
Posted 13 days ago
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Job Description
Our client, a cutting-edge technology firm, is actively seeking a brilliant AI Research Scientist specializing in machine learning applications to join their innovative team. This is a fully remote position, allowing you to contribute to groundbreaking research and development from anywhere in Kenya. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record and hands-on experience in developing and deploying ML models. You will be at the forefront of exploring new AI frontiers, developing novel algorithms, and applying machine learning techniques to solve complex real-world problems across various domains. Responsibilities include conducting research, designing and implementing ML models, experimenting with different algorithms and architectures, and evaluating model performance. You will also be involved in data preprocessing, feature engineering, and model optimization. A deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch), natural language processing (NLP), computer vision, or reinforcement learning is essential. Proficiency in programming languages such as Python, along with extensive experience in data manipulation and scientific computing libraries (e.g., NumPy, Pandas, Scikit-learn), is required. The successful candidate will possess strong analytical and critical thinking skills, with the ability to work independently and collaboratively in a fast-paced, research-oriented environment. Excellent communication skills are necessary for presenting research findings, writing technical papers, and collaborating with other researchers and engineers. This role is based in Kericho, Kericho, KE , but is performed entirely remotely, emphasizing asynchronous communication and digital collaboration. We are looking for a passionate, curious, and highly motivated individual driven by a desire to push the boundaries of AI. This is an exceptional opportunity to contribute to transformative AI technologies and shape the future of intelligent systems, all within a flexible, remote work setting.
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5
AI Research Scientist - Machine Learning Models
Posted 17 days ago
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Job Description
Our client is seeking a brilliant and innovative AI Research Scientist to join their cutting-edge Artificial Intelligence division, focusing on developing advanced machine learning models. This is a fully remote role, allowing top-tier talent to contribute to pioneering AI research from anywhere in the world. You will be at the forefront of designing, implementing, and evaluating novel ML algorithms for complex problems, pushing the boundaries of what's possible in AI. This position requires a strong theoretical foundation in machine learning, exceptional programming skills, and a passion for creating impactful AI solutions.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and artificial intelligence.
- Design, develop, and implement novel ML algorithms and models for various applications.
- Collaborate with a team of AI researchers and engineers to define research objectives and approaches.
- Analyze and interpret large datasets to train and validate ML models.
- Optimize ML models for performance, scalability, and efficiency.
- Stay current with the latest research papers, trends, and advancements in AI and ML.
- Publish research findings in top-tier AI conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the efficacy of new AI techniques.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and interns in the field of AI.
- Effectively communicate complex technical concepts to both technical and non-technical audiences.
- Manage research projects and timelines in a remote research environment.
- Evaluate and integrate new AI tools and frameworks.
- Ensure reproducibility and rigorous validation of research outcomes.
- Contribute to the strategic direction of AI research within the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of research experience in machine learning or a related AI field.
- Proven track record of research contributions, including publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR) or journals.
- Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, natural language processing, computer vision, or generative models.
- Proficiency in programming languages commonly used in AI research, such as Python, with strong experience in libraries like TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.
- Solid understanding of mathematical foundations of ML, including linear algebra, calculus, and probability theory.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) for ML workloads is a plus.
- Ability to work independently and drive research initiatives forward with minimal supervision.
- A deep passion for advancing the field of Artificial Intelligence and its applications.
- Experience with large-scale data analysis and distributed computing frameworks (e.g., Spark) is beneficial.
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6
AI Research Scientist - Machine Learning Specialization
Posted 20 days ago
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Job Description
Our client, a cutting-edge research and development organization, is looking for a brilliant AI Research Scientist with a specialization in Machine Learning to join their elite, remote-first research team. This role offers the opportunity to push the boundaries of artificial intelligence, contributing to groundbreaking advancements in various application domains. You will be responsible for designing, developing, and implementing novel machine learning algorithms and models, conducting in-depth research, and publishing findings in top-tier scientific conferences and journals. Your work will involve exploring areas such as deep learning, reinforcement learning, natural language processing, and computer vision. Key responsibilities include formulating research problems, collecting and preparing large datasets, experimenting with different ML approaches, and evaluating model performance rigorously. You will collaborate closely with other researchers and engineers to translate research concepts into practical solutions. The ideal candidate holds a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record and proven experience in developing and deploying ML models. Proficiency in programming languages like Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn are essential. Excellent analytical, critical thinking, and problem-solving skills are paramount. As a fully remote position, you must possess exceptional self-management abilities, strong written and verbal communication skills, and the capacity to thrive in a collaborative virtual environment. This is a unique chance to be at the forefront of AI innovation, working on intellectually stimulating challenges and making significant contributions to the field. You will have the freedom to explore new ideas and technologies, shaping the future of AI from your remote office.
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7
Senior AI Research Scientist (Deep Learning)
Posted 20 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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Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 6 days ago
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Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
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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