1045 AI Research Scientist Machine Learning jobs in Nairobi
AI Research Scientist - Computer Vision
Posted 15 days ago
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Principal AI Research Scientist - Computer Vision
Posted 20 days ago
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Senior AI Research Scientist - Deep Learning
Posted 15 days ago
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Remote Senior AI Research Scientist (Computer Vision)
Posted 22 days ago
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Responsibilities:
- Conduct cutting-edge research in computer vision, focusing on deep learning techniques.
- Design, develop, and implement novel algorithms for image recognition, object detection, and other vision tasks.
- Build and train deep neural networks using major AI frameworks.
- Analyze and interpret experimental results, and document findings for research publications and patents.
- Collaborate with engineers to deploy AI models into production systems.
- Stay abreast of the latest research and advancements in computer vision and AI.
- Mentor junior researchers and engineers.
- Present research findings at conferences and to internal stakeholders.
- Contribute to the strategic direction of the AI research roadmap.
- Ph.D. or M.S. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- Minimum of 5 years of research experience in computer vision.
- Proven expertise in deep learning frameworks (TensorFlow, PyTorch, etc.).
- Strong programming skills in Python and experience with C++.
- Extensive knowledge of computer vision algorithms and libraries (OpenCV, etc.).
- Experience with large-scale datasets and distributed training environments.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong publication record in top-tier AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Ability to work independently and collaboratively in a remote team setting.
AI Research Scientist - Machine Learning
Posted 8 days ago
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Principal AI Research Scientist - Machine Learning
Posted 8 days ago
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Senior AI Research Scientist (Computer Vision)
Posted 20 days ago
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Key Responsibilities:
- Conduct advanced research in computer vision and deep learning.
- Design, develop, and implement novel AI models and algorithms.
- Focus on areas such as image recognition, object detection, and semantic segmentation.
- Collaborate with engineering teams to deploy AI solutions into production.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Evaluate and benchmark model performance using rigorous methodologies.
- Stay current with the latest advancements in AI, machine learning, and computer vision.
- Contribute to the strategic direction of AI research initiatives.
- Participate in hybrid work model, balancing remote and in-office collaboration.
Qualifications:
- PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven track record of research and publications in computer vision.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and/or C++.
- Experience with large-scale datasets and distributed training.
- Solid understanding of machine learning theory and algorithms.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Experience with hybrid work environments.
- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure).
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Senior AI Research Scientist - Machine Learning
Posted 17 days ago
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Key Responsibilities:
- Conduct fundamental and applied research in machine learning, deep learning, computer vision, natural language processing, or other AI domains.
- Design, develop, and implement novel AI algorithms and models.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning through literature review and conference participation.
- Publish research findings in leading academic venues and contribute to the scientific community.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific rigor.
- Identify new research opportunities and potential applications of AI to solve challenging problems.
- Develop and maintain high-quality code for research experiments and prototypes.
- Present research findings to both technical and non-technical audiences.
- Contribute to the strategic direction of the company's AI research roadmap.
Remote AI Research Scientist - Machine Learning
Posted 8 days ago
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Key Responsibilities:
- Conduct theoretical and empirical research in machine learning and artificial intelligence.
- Develop novel algorithms and models for various AI applications.
- Design and implement experiments to validate research hypotheses.
- Analyze large-scale datasets and extract meaningful insights.
- Build, train, and evaluate machine learning models.
- Collaborate with cross-functional teams on AI product development.
- Publish research findings in leading AI conferences and journals.
- Stay current with the latest advancements in AI and machine learning.
- Contribute to the intellectual property of the company through patents and publications.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- Proven track record of research in machine learning, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-learn, Keras).
- Strong programming skills in Python and experience with relevant scientific computing libraries.
- Deep understanding of various ML algorithms, including supervised, unsupervised, and reinforcement learning.
- Excellent analytical, mathematical, and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote research environment.
Remote Principal AI Research Scientist - Machine Learning
Posted 15 days ago
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Key responsibilities include conceptualizing and executing research projects, exploring novel approaches to machine learning, deep learning, and related AI domains. You will collaborate with a team of world-class researchers and engineers to translate theoretical concepts into practical applications. This role requires a deep understanding of theoretical ML principles, statistical modeling, and various ML techniques, including supervised, unsupervised, and reinforcement learning. Experience with large-scale data processing, distributed computing, and cloud platforms is essential. The Principal AI Research Scientist will also mentor junior researchers, present findings to internal and external audiences, and stay abreast of the latest advancements in the field. A strong publication record in leading AI venues (e.g., NeurIPS, ICML, ICLR) is highly desirable. This is an exceptional chance for a visionary AI expert to drive innovation and make significant contributions to the field, working remotely from Mombasa, Mombasa, KE , and influencing global technological advancements. We are looking for an individual with a proven ability to conduct independent, high-impact research and a passion for solving complex AI challenges. Your leadership in defining research directions and mentoring emerging talent will be crucial to the continued success of our client's AI initiatives.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 8 years of relevant research experience in AI/ML.
- Extensive publication record in top-tier AI/ML conferences and journals.
- Deep theoretical and practical expertise in machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing frameworks (e.g., Spark).
- Proven ability to lead research projects and mentor junior scientists.
- Strong problem-solving skills and creativity in developing novel AI solutions.
- Excellent communication and presentation skills.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.