2,475 Data Scientists jobs in Kenya
Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 23 days ago
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AI Research Scientist - Machine Learning
Posted 23 days ago
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Graduate Research Scientist - AI & Machine Learning
Posted 23 days ago
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Principal Research Scientist - AI & Machine Learning
Posted 23 days ago
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Job Description
Key Responsibilities:
- Lead and direct cutting-edge research projects in AI and Machine Learning, focusing on areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
- Develop, test, and implement advanced ML algorithms and models.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with product teams to translate research outcomes into practical applications and product features.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific inquiry and rigor.
- Stay abreast of the latest advancements in AI/ML research and identify new research opportunities.
- Design and conduct experiments to validate hypotheses and evaluate model performance.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of novel approaches.
- Contribute to the intellectual property portfolio through patents and disclosures.
- Present research findings to technical and non-technical audiences.
- Engage in strategic planning for the research roadmap and future directions of AI development.
- Effectively manage research projects, including timelines, resources, and deliverables, balancing remote and on-site work as required.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- Minimum of 10 years of hands-on research experience in AI/ML, with a proven track record of significant contributions and publications.
- Deep theoretical understanding and practical experience with various ML algorithms, including deep neural networks, SVMs, and ensemble methods.
- Expertise in programming languages commonly used in AI research (e.g., Python, R, C++) and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) for large-scale ML model training.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
- Proven ability to lead research teams and manage complex R&D projects.
- Experience with data science tools and techniques for data cleaning, feature engineering, and analysis.
- Ability to work independently and collaboratively in a hybrid work environment.
- A genuine passion for scientific discovery and technological advancement.
Principal AI Research Scientist - Machine Learning
Posted 23 days ago
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- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 8 years of post-doctoral research experience in AI/ML, with a strong publication record.
- Expertise in at least one of the following areas: deep learning, natural language processing, computer vision, reinforcement learning, or statistical modeling.
- Proficiency in Python and major ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven ability to lead research projects from conception to implementation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex research findings clearly.
- Experience mentoring junior researchers and collaborating in a team environment.
Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 21 days ago
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Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
- Design, develop, and implement novel AI algorithms and models.
- Stay current with the latest advancements and publications in AI research.
- Collaborate with engineers to deploy AI models into production systems.
- Analyze large datasets to extract insights and inform model development.
- Conduct rigorous experimentation and validation of AI solutions.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Contribute to patent applications and intellectual property development.
- Present research findings to technical and non-technical stakeholders.
- Identify and explore new research opportunities and potential applications of AI.
- Drive innovation and contribute to the strategic direction of AI research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI, ML, or DL, with a strong publication record.
- Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
- Proficiency in Python, R, and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Proven ability to design and conduct complex experiments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 9 days ago
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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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Lead Research Scientist - AI & Machine Learning
Posted 6 days ago
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- Defining and executing a research roadmap in AI/ML.
- Leading and mentoring a team of research scientists and engineers.
- Developing novel AI algorithms and models for complex problems.
- Designing and conducting rigorous experiments to validate hypotheses.
- Analyzing large datasets to extract meaningful insights.
- Collaborating with product teams to integrate AI solutions into applications.
- Publishing research findings in leading academic conferences and journals.
- Staying abreast of the latest advancements in AI and ML research.
- Securing research grants and managing project budgets.
- Presenting research outcomes to technical and non-technical stakeholders.
- Ph.D. in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of research experience in AI/ML, with at least 3 years in a leadership role.
- Strong publication record in top-tier AI/ML venues.
- Deep theoretical understanding of deep learning, reinforcement learning, natural language processing, computer vision, etc.
- Proficiency in programming languages such as Python, R, or C++.
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Proven ability to lead and inspire a research team.
- Excellent communication, presentation, and interpersonal skills.
- Experience with cloud computing platforms (AWS, GCP, Azure).
Principal Research Scientist - AI and Machine Learning
Posted 23 days ago
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Lead AI Research Scientist - Machine Learning
Posted 23 days ago
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Job Description
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.