2,279 Data Science jobs in Kenya
Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 19 days ago
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Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 18 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.
AI & Machine Learning Research Fellow
Posted 12 days ago
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Key Responsibilities:
- Assist senior researchers in designing, implementing, and testing machine learning models for various applications.
- Conduct literature reviews on cutting-edge AI research topics and summarize findings.
- Develop and preprocess datasets for training and evaluating machine learning algorithms.
- Write clean, efficient, and well-documented code in Python, utilizing libraries such as TensorFlow, PyTorch, and scikit-learn.
- Participate in team meetings and brainstorming sessions to propose new research directions and solutions.
- Contribute to the development of research papers, presentations, and technical reports.
- Help in the deployment and testing of AI models in simulated or real-world environments.
- Collaborate with other interns and researchers on assigned projects.
- Maintain detailed records of experiments, results, and methodologies.
- Gain exposure to various domains of AI, including but not limited to, natural language processing, computer vision, and reinforcement learning.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a closely related quantitative field.
- Strong foundational knowledge of machine learning algorithms, data structures, and software development principles.
- Proficiency in Python programming and experience with relevant AI/ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
- Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Basic understanding of mathematical concepts such as linear algebra, calculus, and probability.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to clearly articulate technical concepts.
- Must be self-motivated, detail-oriented, and capable of working independently in a remote setting.
- A genuine passion for artificial intelligence and a desire to learn and contribute to research.
- Previous research experience or personal AI projects are a plus.
AI Research Scientist - Machine Learning
Posted 19 days ago
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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
Graduate Research Scientist - AI & Machine Learning
Posted 19 days ago
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Principal Research Scientist - AI & Machine Learning
Posted 19 days ago
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Principal AI Research Scientist - Machine Learning
Posted 19 days ago
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Lead Research Scientist - AI & Machine Learning
Posted 2 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 19 days ago
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Machine Learning Engineer - AI Research
Posted 19 days ago
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Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Conduct research and experiments to advance AI capabilities.
- Process, clean, and analyze large datasets.
- Perform feature engineering and model selection.
- Train, evaluate, and optimize machine learning models.
- Deploy ML models into production environments.
- Collaborate with research and engineering teams on AI projects.
- Stay up-to-date with the latest advancements in ML and AI.
- Document research findings and technical specifications.
- Contribute to the development of new AI products and services.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 3+ years of experience in machine learning engineering or AI research.
- Proficiency in programming languages such as Python.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of statistical modeling, algorithms, and data structures.
- Experience with data manipulation and analysis tools.
- Excellent problem-solving and analytical skills.
- Ability to work independently and manage research projects in a remote setting.
- Strong communication and presentation skills.