6,489 Machine Learning Engineer AI Research jobs in Kenya
AI/ML Research Scientist (Computer Vision)
Posted 18 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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AI Research Scientist - Computer Vision
Posted 20 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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Senior AI/ML Research Scientist (Computer Vision)
Posted 20 days ago
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Job Description
Our client, a pioneering research and development lab at the forefront of AI and Emerging Technologies, is seeking an exceptional Senior AI/ML Research Scientist specializing in Computer Vision. This fully remote role involves pushing the boundaries of artificial intelligence by developing novel algorithms and models for image and video analysis. The ideal candidate will have a Ph.D. or a strong Master's degree in a relevant field, a publication record in top-tier AI conferences, and extensive experience in deep learning frameworks. You will work on challenging problems with a world-class team of researchers.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in computer vision, including areas such as object detection, image segmentation, facial recognition, and 3D vision.
- Develop and implement novel deep learning models and algorithms for complex visual tasks.
- Design and execute experiments to validate research hypotheses and measure model performance.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research through literature review and conference participation.
- Collaborate with other researchers and engineers to translate research findings into practical applications.
- Publish research results in top-tier academic conferences and journals.
- Develop prototypes and proof-of-concepts for new AI-driven features and products.
- Contribute to the intellectual property of the organization through patents and publications.
- Mentor junior researchers and interns in AI/ML and computer vision.
- Contribute to the design and implementation of our AI infrastructure.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 5 years of research experience in AI/ML, with a strong focus on computer vision.
- Proven track record of publications in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or journals.
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python, and experience with scientific computing libraries (e.g., NumPy, SciPy).
- Strong understanding of classical computer vision techniques and modern deep learning architectures.
- Experience with large-scale datasets and distributed training is a plus.
- Ability to work independently and as part of a highly collaborative, remote research team.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
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Remote AI/ML Research Scientist (Computer Vision)
Posted 11 days ago
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Job Description
Our client is at the forefront of AI and Emerging Technologies, and we are seeking a brilliant Remote AI/ML Research Scientist specializing in Computer Vision. This is a fully remote position, offering you the chance to conduct groundbreaking research and develop cutting-edge solutions in visual intelligence. You will work with a world-class team to push the boundaries of what's possible in image and video analysis, object detection, recognition, and more.
Key Responsibilities:
Key Responsibilities:
- Conduct original research in computer vision and machine learning, focusing on areas such as image recognition, object detection, segmentation, and generative models.
- Develop and implement novel algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and execute experiments to evaluate model performance, analyze results, and iterate on research hypotheses.
- Collaborate with software engineers to translate research prototypes into deployable AI systems.
- Stay abreast of the latest academic research and industry trends in computer vision and AI.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of intellectual property, including patents and proprietary algorithms.
- Analyze large-scale datasets to train and validate machine learning models.
- Effectively communicate complex research concepts and results to both technical and non-technical audiences.
- Mentor junior researchers and contribute to a collaborative and innovative research environment.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- Proven track record of research and development in computer vision, evidenced by publications, patents, or significant contributions to open-source projects.
- Strong theoretical understanding and practical experience with deep learning architectures (CNNs, RNNs, Transformers) and computer vision techniques.
- Proficiency in programming languages such as Python and experience with deep learning libraries (TensorFlow, PyTorch, Keras).
- Experience with data manipulation, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting research and collaborating effectively.
- Ability to work independently, manage research projects, and meet ambitious deadlines in a remote setting.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- A passion for pushing the boundaries of AI and its applications.
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Lead AI Research Scientist - Computer Vision
Posted 20 days ago
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Job Description
Our client, a pioneering firm in Artificial Intelligence, is looking for an exceptional Lead AI Research Scientist specializing in Computer Vision. This is a fully remote role offering the chance to push the boundaries of AI innovation. You will lead cutting-edge research projects focused on developing novel algorithms and models for image recognition, object detection, video analysis, and related computer vision tasks. Your responsibilities will include designing and conducting experiments, analyzing results, and publishing findings in top-tier academic venues and internal technical reports. You will mentor junior researchers, collaborate with engineering teams to translate research prototypes into production-ready systems, and stay abreast of the latest advancements in AI and machine learning. The ideal candidate will have a Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in computer vision. Proven experience in leading research projects and managing a team is highly desirable. Expertise in deep learning frameworks such as TensorFlow or PyTorch, and proficiency in programming languages like Python, C++, and CUDA, are essential. You should have a deep theoretical understanding of machine learning principles and practical experience in implementing and deploying complex AI models. This role requires excellent analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to diverse audiences. You will contribute to the strategic direction of our AI research roadmap and play a critical role in shaping the future of our AI products. This is a unique opportunity to work on challenging problems with a world-class team, enjoying the flexibility of a remote work environment. The job location for this role is based in **Machakos, Machakos, KE**, but it is a fully remote position.
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Principal AI Research Scientist - Computer Vision
Posted 20 days ago
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Job Description
Our client, a leader in pioneering AI research, is seeking an exceptional Principal AI Research Scientist specializing in Computer Vision to join their fully remote, globally distributed team. This senior role offers the unique opportunity to push the boundaries of what's possible in visual intelligence, developing groundbreaking algorithms and models that will define the future of AI. You will be at the forefront of innovation, tackling complex challenges in image recognition, object detection, semantic segmentation, 3D vision, and generative modeling. Your work will directly impact next-generation AI products and services, setting new industry standards.
As a Principal Scientist, you will lead ambitious research projects from conception to completion, including formulating research questions, designing experiments, implementing novel algorithms, and rigorously evaluating their performance. You will be expected to publish your findings in top-tier AI conferences and journals, contributing significantly to the scientific community. Collaboration is key; you will work closely with a world-class team of AI researchers, engineers, and product managers, sharing knowledge and fostering a culture of scientific excellence. A deep theoretical understanding of deep learning, convolutional neural networks (CNNs), transformers, and related architectures is essential, alongside extensive practical experience in developing and deploying large-scale computer vision systems.
The ideal candidate will have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record in leading computer vision venues. You should possess exceptional programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. Expertise in areas like self-supervised learning, few-shot learning, or adversarial attacks in computer vision is highly desirable. You must be a self-starter, capable of working independently in a remote setting, with excellent analytical, problem-solving, and communication skills. The ability to mentor junior researchers and guide research direction will be a significant asset.
Key responsibilities include:
As a Principal Scientist, you will lead ambitious research projects from conception to completion, including formulating research questions, designing experiments, implementing novel algorithms, and rigorously evaluating their performance. You will be expected to publish your findings in top-tier AI conferences and journals, contributing significantly to the scientific community. Collaboration is key; you will work closely with a world-class team of AI researchers, engineers, and product managers, sharing knowledge and fostering a culture of scientific excellence. A deep theoretical understanding of deep learning, convolutional neural networks (CNNs), transformers, and related architectures is essential, alongside extensive practical experience in developing and deploying large-scale computer vision systems.
The ideal candidate will have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record in leading computer vision venues. You should possess exceptional programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. Expertise in areas like self-supervised learning, few-shot learning, or adversarial attacks in computer vision is highly desirable. You must be a self-starter, capable of working independently in a remote setting, with excellent analytical, problem-solving, and communication skills. The ability to mentor junior researchers and guide research direction will be a significant asset.
Key responsibilities include:
- Leading cutting-edge research in computer vision and deep learning.
- Developing novel algorithms for image analysis, object recognition, and scene understanding.
- Designing and implementing large-scale AI models for computer vision tasks.
- Publishing research findings in top-tier conferences and journals.
- Collaborating with cross-functional teams to translate research into impactful products.
- Mentoring and guiding junior research scientists.
- Staying abreast of the latest advancements in AI and computer vision.
- Contributing to the intellectual property and strategic direction of the company.
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5
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 - 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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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 5 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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