421 AI Research jobs in Kenya
AI Research Scientist - Deep Learning
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The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field, with a strong publication record in top-tier AI conferences and journals. You must have a minimum of 5 years of hands-on experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras. Proven expertise in programming languages like Python is essential, along with a solid understanding of advanced machine learning techniques, statistical modeling, and data mining. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly advantageous. Exceptional analytical, critical thinking, and problem-solving skills are required, as are excellent written and verbal communication abilities for effectively presenting complex research to diverse audiences. This fully remote position offers an unparalleled opportunity to contribute to the future of AI from the comfort of your home office.
Senior AI Research Scientist - Deep Learning
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Principal AI Research Scientist - Deep Learning
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Senior AI Research Scientist - Deep Learning
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Senior AI Research Scientist (Deep Learning)
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Key Responsibilities:
- Conduct cutting-edge research in deep learning, machine learning, and related AI fields.
- Design, develop, and implement novel deep learning models and algorithms.
- Train and evaluate models using large-scale datasets and high-performance computing resources.
- Stay abreast of the latest advancements in AI research and apply them to practical problems.
- Collaborate with engineers to integrate research prototypes into production systems.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of the team's intellectual property through patents and internal knowledge sharing.
- Mentor junior researchers and contribute to a positive and collaborative research environment.
- Analyze complex data to identify patterns and inform model development.
- Present research findings to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in deep learning and machine learning.
- Proven track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Strong proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in programming languages like Python.
- Experience with large-scale data processing and distributed training is highly desirable.
- Strong mathematical and statistical foundation.
- Excellent problem-solving, analytical, and critical thinking skills.
- Effective communication and collaboration skills, suitable for a remote team.
- Ability to work independently and drive research projects forward.
Senior AI Research Scientist - Deep Learning
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The successful candidate will be responsible for conducting in-depth research, designing and implementing advanced deep learning architectures, and experimenting with various machine learning frameworks such as TensorFlow and PyTorch. You will collaborate closely with a team of world-class engineers and data scientists to translate research findings into practical applications, pushing the boundaries of what's possible in AI.
Key responsibilities include:
- Leading research initiatives in areas such as computer vision, natural language processing, or reinforcement learning.
- Developing and optimizing deep neural networks for performance and scalability.
- Designing and executing rigorous experiments to validate new models and techniques.
- Analyzing large datasets to extract meaningful insights and identify patterns.
- Staying abreast of the latest advancements in AI and machine learning through continuous learning and participation in academic communities.
- Mentoring junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Collaborating with product teams to integrate AI solutions into our offerings.
- Documenting research findings and presenting them at internal and external forums.
To be considered for this role, you must possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A strong publication record in top-tier AI conferences and journals is highly desirable. Proven experience (5+ years) in developing and deploying deep learning models in a production environment is required. Excellent programming skills in Python and familiarity with relevant libraries (e.g., NumPy, SciPy, Pandas) are essential. Outstanding analytical, problem-solving, and communication skills are also necessary. The ability to work effectively in a dynamic, collaborative team environment is crucial. Experience with cloud platforms like AWS or Azure, and distributed computing frameworks like Spark, is a plus.
AI Research Scientist
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AI Research Scientist
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Key responsibilities include:
- Conducting original research in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Developing and implementing novel AI algorithms and models.
- Designing and executing experiments to evaluate AI system performance.
- Collaborating with cross-functional teams to integrate AI solutions into products and services.
- Staying abreast of the latest advancements and research trends in AI and related fields.
- Publishing research findings in top-tier conferences and journals.
- Mentoring junior researchers and engineers.
- Contributing to the development of AI strategies and roadmaps.
- Translating complex research results into understandable insights for stakeholders.
- Building and maintaining high-quality, production-ready AI codebases.
- Ensuring ethical considerations and bias mitigation are integrated into AI development.
- Prototyping and demonstrating new AI capabilities.
- Securing and managing research grants and collaborations.
- Presenting research findings internally and externally.
- Contributing to intellectual property through patents and publications.
The ideal candidate possesses a strong academic background, a passion for AI research, and a proven ability to innovate. You should have excellent analytical and problem-solving skills, proficiency in programming languages like Python, and experience with deep learning frameworks such as TensorFlow or PyTorch. This role is crucial for driving our client's technological advancements and requires a candidate who thrives in an intellectually stimulating and collaborative environment. The hybrid nature of this role requires flexibility and a commitment to engaging with the team both remotely and on-site in **Kericho, Kericho, KE**.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Demonstrated experience in AI research with publications in reputable venues.
- Strong programming skills in Python and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of machine learning theory and algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and as part of a team in a hybrid setting.
- Experience with distributed computing frameworks is desirable.
- Familiarity with software development best practices.
AI Research Scientist
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- Conduct state-of-the-art research in Artificial Intelligence and Machine Learning areas.
- Develop, implement, and evaluate novel AI algorithms and models, including deep learning, reinforcement learning, and generative models.
- Design and conduct experiments to validate research hypotheses and measure performance.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Publish research findings in top-tier academic conferences and journals.
- Stay abreast of the latest advancements in AI, ML, and related fields.
- Mentor junior researchers and contribute to the scientific growth of the team.
- Develop prototypes and proof-of-concepts for new AI applications.
- Analyze large datasets to extract insights and inform model development.
- Contribute to intellectual property development through patents and publications.
- Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Demonstrated research experience with a strong publication record in top AI/ML venues.
- Expertise in one or more areas of AI, such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Proficiency in programming languages like Python and libraries such as TensorFlow, PyTorch, Scikit-learn.
- Strong mathematical and statistical background.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, especially for discussing complex technical concepts remotely.
- Ability to work independently and drive research projects to completion in a remote environment.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
AI Research Scientist
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Your responsibilities will include staying abreast of the latest academic research and industry trends in AI, identifying promising areas for exploration, and formulating research hypotheses. You will design and execute experiments, analyze results, and publish findings in reputable venues. Collaboration with software engineers to translate research prototypes into practical applications will be a key aspect of the role. You will also mentor junior researchers and contribute to the strategic direction of our AI initiatives. The ideal candidate possesses a deep theoretical understanding of AI, strong programming skills in languages like Python, and hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras. As a fully remote scientist, you must be highly self-motivated, possess exceptional analytical and critical thinking skills, and be adept at communicating complex technical concepts effectively to both technical and non-technical audiences within a distributed team environment.
Key Responsibilities:
- Conduct research and develop novel algorithms in machine learning, deep learning, and related AI fields.
- Design and implement experiments to validate AI models and hypotheses.
- Analyze large datasets to extract insights and build predictive models.
- Develop and deploy AI solutions for real-world applications.
- Collaborate with engineers to integrate AI models into production systems.
- Stay current with state-of-the-art AI research and publications.
- Publish research findings in peer-reviewed journals and conferences.
- Contribute to the intellectual property portfolio through patent applications.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven research experience in AI/ML, evidenced by publications or projects.
- Strong programming skills in Python and experience with AI frameworks (TensorFlow, PyTorch).
- Deep understanding of various machine learning algorithms and statistical modeling.
- Experience with big data technologies and cloud platforms is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote research environment.