2,065 Natural Language Processing jobs in Kenya
AI Research Scientist (NLP)
Posted 19 days ago
Job Viewed
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.
AI Research Scientist - NLP Focus
Posted 9 days ago
Job Viewed
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 19 days ago
Job Viewed
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.
Principal AI Research Scientist (NLP)
Posted 19 days ago
Job Viewed
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.
Senior AI Research Scientist (NLP)
Posted 19 days ago
Job Viewed
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.
Remote AI Research Scientist - NLP
Posted 19 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
Job Viewed
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.
Be The First To Know
About the latest Natural language processing Jobs in Kenya !
Principal AI Research Scientist - NLP (Remote)
Posted 19 days ago
Job Viewed
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 .
Principal Remote AI Research Scientist (NLP)
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Lead innovative research projects in NLP, focusing on areas such as language understanding, generation, translation, sentiment analysis, and information extraction.
- Design and implement novel algorithms and models to address complex NLP challenges.
- Develop and train large-scale language models, leveraging advanced deep learning techniques.
- Conduct rigorous experimentation and evaluation of NLP models, ensuring robust and reliable performance.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific excellence.
- Stay abreast of the latest advancements in AI, machine learning, and NLP, identifying new research opportunities.
- Contribute to the development of the company's AI strategy and roadmap.
- Analyze large text datasets, identifying patterns and insights to drive model development.
- Present research proposals and results to technical and executive audiences.
- Contribute to building and maintaining our client's intellectual property portfolio.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field, with a strong specialization in NLP.
- Minimum of 8 years of research experience in NLP, including significant contributions through publications in leading venues.
- Proven track record of leading research projects and driving innovation in NLP.
- Deep understanding of various NLP techniques, including deep learning architectures (e.g., Transformers, RNNs, LSTMs), statistical methods, and symbolic AI.
- Expertise in programming languages such as Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent scientific writing and presentation skills.
- Ability to work independently and lead research initiatives in a fully remote environment.
- Strong collaborative and communication skills, with the ability to work effectively with cross-functional teams.
- Experience with large-scale data processing and distributed computing is a plus.
- A passion for pushing the boundaries of AI and NLP research.
Remote Lead AI Research Scientist - NLP
Posted 17 days ago
Job Viewed
Job Description
- Leading research initiatives in Natural Language Processing and understanding.
- Developing and refining novel deep learning architectures for NLP tasks.
- Designing and implementing experiments to evaluate model performance.
- Staying abreast of the latest advancements in AI, NLP, and machine learning.
- Mentoring and guiding junior researchers, fostering a collaborative research environment.
- Publishing research findings in leading academic venues (e.g., NeurIPS, ICML, ACL).
- Collaborating with engineering teams to translate research prototypes into deployable solutions.
- Analyzing and interpreting complex datasets to inform model development.
- Defining research roadmaps and setting ambitious goals for the NLP team.
- Contributing to intellectual property development and patent applications.
- Presenting research work internally and externally to diverse audiences.
- Managing research project timelines and resources effectively.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
- 7+ years of research experience in NLP and deep learning, with a strong publication record.
- Expertise in transformer architectures, large language models (LLMs), and related NLP techniques.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy).
- Experience with large-scale data processing and model training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven leadership and team management capabilities.
- Exceptional communication and presentation skills, crucial for remote collaboration.
- Ability to conduct independent research and drive innovation.