2,475 Data Scientist Positions jobs in Kenya
AI Research Scientist - Machine Learning
Posted 21 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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Principal AI Research Scientist, Machine Learning
Posted 21 days ago
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Responsibilities:
- Lead the design and execution of advanced AI research projects, focusing on machine learning.
- Develop novel algorithms and methodologies in areas such as deep learning, reinforcement learning, NLP, or computer vision.
- Conduct theoretical analysis and empirical validation of AI models.
- Publish research findings in leading AI conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production systems.
- Mentor and guide junior researchers and engineers.
- Identify and explore new research opportunities and emerging AI trends.
- Contribute to the strategic direction of the AI research division.
- Present research findings to internal stakeholders and the broader scientific community.
- Ensure the responsible and ethical development of AI technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Minimum of 10 years of post-doctoral or industry research experience in AI/ML.
- Exceptional publication record in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Deep expertise in one or more subfields of machine learning (e.g., deep learning architectures, probabilistic models, optimization).
- Proficiency in programming languages such as Python, and ML frameworks like TensorFlow or PyTorch.
- Strong theoretical foundation and practical implementation skills.
- Excellent problem-solving, analytical, and critical thinking abilities.
- Outstanding communication and presentation skills.
- Proven ability to lead research initiatives and mentor teams.
- Experience working in a remote research environment is advantageous.
Lead Research Scientist - AI & Machine Learning
Posted 7 days ago
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Responsibilities:
- Lead the design and implementation of advanced AI/ML models and algorithms.
- Conduct cutting-edge research in areas such as deep learning, NLP, computer vision, etc.
- Develop novel research methodologies and experimental designs.
- Analyze and interpret large datasets to extract meaningful insights.
- Evaluate and optimize model performance using rigorous scientific methods.
- Mentor and guide junior research scientists and engineers.
- Collaborate with cross-functional teams to integrate research findings into products.
- Stay current with the latest advancements in AI/ML and related fields.
- Contribute to publications, patents, and conference presentations.
- Manage research project timelines and deliverables in a remote environment.
Qualifications:
- Ph.D. or M.S. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 5+ years of research experience in AI/ML, with a strong publication record.
- Proven expertise in one or more AI/ML subfields (e.g., deep learning, NLP, CV).
- Proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch).
- Experience with large-scale data analysis and cloud computing platforms.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong leadership and mentoring capabilities.
- Exceptional written and verbal communication skills, particularly for technical concepts.
- Ability to work independently and drive research initiatives in a remote setting.
Principal Research Scientist - AI and Machine Learning
Posted 23 days ago
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Lead AI Research Scientist - Machine Learning
Posted 20 days ago
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Responsibilities:
- Lead the research and development of advanced machine learning models and algorithms for various applications, including but not limited to natural language processing, computer vision, and predictive analytics.
- Design and conduct rigorous experiments to evaluate and validate new approaches and methodologies.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with engineering teams to transition research prototypes into production-ready systems.
- Mentor and guide junior researchers and engineers, fostering their growth and development in AI.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for innovation and competitive advantage.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Define research roadmaps and strategies for key AI initiatives.
- Present research outcomes and technical insights to internal stakeholders and external partners.
- Ensure the ethical development and deployment of AI technologies.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of post-doctoral or industry research experience in AI/ML.
- Demonstrated publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Expertise in at least one major ML framework (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with scientific computing libraries (e.g., NumPy, SciPy, Pandas).
- Deep understanding of various ML algorithms, including deep learning, reinforcement learning, and statistical modeling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and mentor team members.
- Exceptional communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Experience working in a remote or distributed research environment is advantageous.
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AI Research Scientist - Machine Learning Applications
Posted 16 days ago
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AI Research Scientist - Machine Learning Models
Posted 20 days ago
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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.
AI Research Scientist - Machine Learning Specialization
Posted 23 days ago
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