2,602 AI Research Scientist Nlp jobs in Kenya
AI Research Scientist (NLP)
Posted 20 days ago
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Job Description
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Extensive research experience in NLP, with a proven publication record in leading AI/NLP conferences and journals (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python.
- Strong theoretical understanding of machine learning, statistical modeling, and various NLP techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research setting.
- Exceptional communication skills to present complex research findings clearly.
Principal AI Research Scientist (NLP)
Posted 20 days ago
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Job Description
Responsibilities:
- Lead research and development efforts in advanced Natural Language Processing techniques.
- Design, implement, and evaluate state-of-the-art NLP models and algorithms.
- Explore and apply deep learning frameworks (e.g., TensorFlow, PyTorch) to NLP tasks.
- Conduct fundamental research on topics such as language understanding, generation, translation, and summarization.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and engineers, providing technical guidance and leadership.
- Collaborate with cross-functional teams to translate research prototypes into practical applications.
- Stay abreast of the latest advancements in AI, machine learning, and NLP.
- Identify novel research opportunities and propose innovative solutions.
- Contribute to the overall AI strategy and roadmap of the organization.
- Develop and maintain high-quality, well-documented code for research experiments and prototypes.
- Present research results to technical and non-technical audiences.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
- Minimum of 8 years of post-doctoral research experience in NLP and Machine Learning.
- Demonstrated track record of impactful research publications in leading NLP/AI venues (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning architectures for NLP, including Transformers, RNNs, LSTMs, and CNNs.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of linguistic principles and computational linguistics.
- Experience with large-scale data processing and analysis.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to lead research projects and mentor teams.
- Exceptional communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
AI Research Scientist - NLP Specialization
Posted today
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Job Description
Responsibilities:
- Conduct state-of-the-art research in NLP, including areas such as sentiment analysis, machine translation, text summarization, and question answering.
- Develop and implement novel machine learning algorithms and deep learning models for various NLP tasks.
- Design and execute experiments to evaluate the performance of developed models.
- Analyze large datasets to extract insights and identify patterns relevant to NLP challenges.
- Collaborate with other researchers and engineers to translate research findings into practical applications.
- Publish research findings in leading academic conferences and journals.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Contribute to the development of intellectual property and potential patents.
- Mentor junior researchers and interns within the AI team.
- Present research outcomes to both technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
- Proven track record of research in NLP, demonstrated through publications, projects, or contributions to open-source NLP libraries.
- Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
- In-depth knowledge of NLP techniques, including transformer models, recurrent neural networks, and word embeddings.
- Experience with data preprocessing, feature engineering, and model evaluation for NLP tasks.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills for technical reporting and presentations.
- Ability to work independently and collaboratively in a research-intensive environment.
This is an on-site position located in Embu, Embu, KE , offering a unique opportunity to work within a dedicated AI research facility.
AI Research Scientist - NLP Focus
Posted 9 days ago
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Job Description
Key Responsibilities:
- Conduct advanced research in Natural Language Processing, including areas such as sentiment analysis, named entity recognition, question answering, and text summarization.
- Develop, train, and evaluate novel deep learning models for NLP tasks using frameworks like TensorFlow, PyTorch, or Keras.
- Explore and implement state-of-the-art NLP architectures, including transformers, LSTMs, and CNNs.
- Design and execute experiments to test hypotheses and validate research findings.
- Contribute to the development of production-ready AI systems and applications powered by NLP.
- Collaborate closely with other AI researchers and engineers in a remote setting, sharing knowledge and insights.
- Publish research findings in top-tier AI conferences and journals.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Develop and maintain high-quality code, documentation, and testing procedures.
- Mentor junior researchers and engineers, fostering a culture of innovation.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- 3+ years of hands-on research experience in Natural Language Processing.
- Strong theoretical understanding of machine learning, deep learning, and statistical modeling.
- Proven experience with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers).
- Proficiency in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
- Experience with large datasets and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong publication record in reputable AI venues is highly desirable.
- Ability to work independently and collaboratively in a fully remote, fast-paced environment.
Lead AI Research Scientist (NLP)
Posted 20 days ago
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Job Description
Responsibilities:
- Lead research and development efforts in advanced NLP techniques, including but not limited to, large language models (LLMs), sentiment analysis, machine translation, and text generation.
- Design, implement, and evaluate novel AI algorithms and models.
- Mentor and guide a team of AI engineers and researchers, fostering innovation and technical excellence.
- Collaborate with product teams to integrate AI solutions into client offerings.
- Publish research findings in top-tier AI conferences and journals.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Develop and maintain robust, scalable AI pipelines and infrastructure.
- Identify and evaluate new technologies and methodologies to enhance our AI capabilities.
- Contribute to the intellectual property portfolio through patents and publications.
- Present research outcomes and project progress to stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of hands-on experience in AI research and development, with a strong specialization in NLP.
- Proven track record of leading research projects and publishing in leading AI venues.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python.
- Deep understanding of statistical modeling, machine learning algorithms, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and interpersonal skills.
- Ability to work effectively in a fully remote, collaborative environment.
- Experience with LLMs and prompt engineering is highly desirable.
Senior AI Research Scientist (NLP)
Posted 20 days ago
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Job Description
Key Responsibilities:
- Conduct original research in NLP, focusing on areas such as machine translation, text generation, sentiment analysis, information extraction, and dialogue systems.
- Develop, train, and evaluate novel deep learning models for various NLP tasks.
- Implement and optimize NLP algorithms using frameworks like TensorFlow, PyTorch, or JAX.
- Stay abreast of the latest research advancements in AI and NLP by reading academic papers and attending conferences.
- Collaborate with other researchers and engineers to translate research findings into practical applications.
- Design and conduct experiments to test hypotheses and validate model performance.
- Publish research results in leading AI/NLP conferences and journals.
- Contribute to the development of internal AI platforms and tools.
- Mentor junior researchers and contribute to a culture of innovation and scientific excellence.
- Present research findings to both technical and non-technical audiences.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field.
- Minimum of 5 years of post-graduate research experience in NLP, with a strong publication record in top-tier conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Deep understanding of machine learning, deep learning, and statistical modeling techniques.
- Proficiency in programming languages such as Python and experience with ML/DL libraries (e.g., PyTorch, TensorFlow, scikit-learn).
- Experience with large language models (LLMs), transformer architectures, and related technologies.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to clearly articulate complex research concepts.
- Proven ability to work independently and collaboratively in a remote research environment.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
This is a premier fully remote opportunity for a leading AI researcher. The role supports advanced AI development for innovative technology solutions impacting the global landscape, with strategic alignment to initiatives supporting Malindi, Kilifi, KE . Requires a pioneering spirit and a passion for discovery.
Senior AI Research Scientist - NLP Specialist (Remote)
Posted 16 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in NLP, including areas such as sentiment analysis, machine translation, text summarization, question answering, and dialogue systems.
- Develop, train, and deploy state-of-the-art NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Design and implement novel algorithms and architectures to address complex language understanding and generation challenges.
- Analyze and process large-scale text datasets, ensuring data quality and relevance for model training.
- Collaborate with cross-functional teams, including software engineers, product managers, and other researchers, to integrate NLP capabilities into new and existing products.
- Publish research findings in top-tier conferences and journals, and present work to internal and external audiences.
- Stay current with the latest advancements in AI, machine learning, and NLP research globally.
- Mentor junior researchers and scientists, fostering a culture of innovation and knowledge sharing.
- Contribute to the intellectual property portfolio through patent applications and novel discoveries.
- Develop strategies for scaling NLP models and applications to handle real-world complexities and large user bases.
- Design and conduct experiments to evaluate the performance of NLP models and identify areas for improvement.
- Ensure the ethical considerations and potential biases in NLP models are addressed proactively.
- Contribute to the strategic direction of NLP research within the organization.
- Develop benchmarks and evaluation metrics for NLP tasks.
- Write high-quality technical documentation and reports.
- Ph.D. in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field, with a strong focus on NLP.
- A minimum of 7 years of research and development experience in NLP.
- Demonstrated expertise in deep learning for NLP, including transformer models, recurrent neural networks, and attention mechanisms.
- Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Transformers, Gensim).
- Experience with large language models (LLMs) and their applications.
- Strong publication record in reputable NLP conferences and journals.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Superior communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and lead research projects in a remote setting.
- Experience with cloud computing platforms (AWS, Azure, GCP) and distributed training is a plus.
- A passion for innovation and a drive to solve challenging problems.
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Remote AI Research Scientist - NLP
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP) and related AI fields.
- Develop and implement novel NLP algorithms and models.
- Design, train, and evaluate deep learning models for various NLP tasks.
- Stay abreast of the latest advancements in NLP research and literature.
- Collaborate with cross-functional teams to integrate NLP solutions into products and services.
- Analyze and interpret large datasets to extract meaningful insights.
- Publish research findings in reputable journals and present at conferences.
- Contribute to the development of AI strategies and roadmaps.
- Mentor junior researchers and engineers.
- Evaluate and benchmark state-of-the-art NLP techniques.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a focus on NLP.
- Proven track record of research contributions in NLP, demonstrated through publications or patents.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in Python programming and NLP libraries (e.g., NLTK, SpaCy, Transformers).
- Strong understanding of machine learning algorithms and statistical modeling.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote teamwork.
- Ability to work independently and manage research projects effectively.
Senior AI Research Scientist - NLP Focus
Posted 17 days ago
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Job Description
This role requires a deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch), advanced statistical methods, and extensive experience with large-scale datasets. You will be responsible for conducting rigorous research, publishing findings in top-tier conferences and journals, and mentoring junior researchers. Collaboration with cross-functional teams, including software engineers and product managers, will be crucial to translate research outcomes into practical applications. The ideal candidate possesses a PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, coupled with a proven track record of innovation and research excellence. Experience with transformer architectures, large language models (LLMs), and other state-of-the-art NLP techniques is essential. Strong programming skills in Python are a must. You should have excellent analytical and problem-solving skills, with the ability to articulate complex technical concepts clearly and effectively. As a remote employee, you must be self-motivated, disciplined, and capable of managing your workload efficiently. The ability to thrive in a collaborative, distributed team environment and contribute to a culture of innovation is highly valued. We are looking for a visionary individual who is passionate about the potential of AI to solve real-world problems and shape the future of human-computer interaction. Your contributions will significantly impact the direction of our client's AI strategy and product development.
Key Responsibilities:
- Lead research and development of advanced NLP models.
- Design and implement novel AI algorithms for language understanding and generation.
- Conduct experiments and analyze results to validate research hypotheses.
- Stay abreast of the latest advancements in AI and NLP.
- Publish research findings in leading academic venues.
- Collaborate with engineering teams to deploy models into production.
- Mentor junior researchers and contribute to team knowledge sharing.
- Present research progress and outcomes to stakeholders.
- PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Extensive experience in NLP research and development.
- Deep knowledge of deep learning frameworks (TensorFlow, PyTorch).
- Expertise in transformer architectures and LLMs.
- Proficient in Python programming.
- Strong publication record in top-tier conferences/journals.
- Excellent analytical and problem-solving skills.
- Proven ability to work independently and in a remote team setting.
Principal AI Research Scientist - NLP (Remote)
Posted 20 days ago
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Job Description
The ideal candidate will hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record in NLP and related areas. A minimum of 7-10 years of post-doctoral research experience, or equivalent industry experience in AI/ML research, is required. Proven expertise in areas such as deep learning frameworks (e.g., TensorFlow, PyTorch), transformer models, sequence-to-sequence architectures, and language generation is essential. Proficiency in programming languages like Python and experience with large-scale data processing are also critical. You should possess exceptional analytical, problem-solving, and critical thinking skills. Outstanding communication and collaboration abilities are necessary to thrive in a remote research setting. The ability to mentor junior researchers and lead complex projects independently is paramount. This unique remote opportunity allows you to work on challenging problems at the forefront of AI research, contributing to groundbreaking innovations for our client, with potential ties to research hubs near Malindi, Kilifi, KE .