2,602 Senior AI Research Scientist Nlp Focus jobs in Kenya
AI Research Scientist - NLP Focus
Posted 9 days ago
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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.
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.
Remote Senior Data Scientist (AI Focus)
Posted 11 days ago
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Key responsibilities include:
- Leading the design, development, and implementation of advanced machine learning models and AI algorithms to solve complex business problems.
- Analyzing large, complex datasets to identify trends, patterns, and actionable insights.
- Developing predictive models for forecasting, classification, and recommendation systems.
- Utilizing statistical methods and data mining techniques to explore and interpret data.
- Collaborating with cross-functional teams, including engineers, product managers, and business stakeholders, to define project requirements and deliver data-driven solutions.
- Designing and conducting A/B tests and other experiments to evaluate the effectiveness of models and features.
- Communicating complex analytical findings and recommendations to both technical and non-technical audiences through compelling visualizations and presentations.
- Staying abreast of the latest advancements in data science, AI, and machine learning research and technologies.
- Developing and maintaining robust data pipelines and ensuring data quality and integrity.
- Mentoring junior data scientists and contributing to the team's technical growth.
- Evaluating and selecting appropriate tools and technologies for data analysis and model deployment.
- Contributing to the development of data governance policies and best practices.
- This role requires a Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a proven track record of applying AI/ML techniques to real-world problems. Strong programming skills in Python or R, and extensive experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data manipulation tools (e.g., Pandas, SQL) are essential. Excellent analytical, statistical, and problem-solving abilities, along with strong communication and presentation skills, are critical for this remote position. If you are a data-savvy professional passionate about leveraging AI to drive innovation and business value, we invite you to apply. This is an exciting chance to make a significant impact from Embu, Embu, KE .
Principal AI Research Scientist - Deep Learning for NLP
Posted 17 days ago
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Job Description
Key Responsibilities:
- Lead research initiatives in deep learning for NLP, identifying novel research directions and formulating research questions.
- Design, develop, and implement state-of-the-art deep learning models for various NLP applications.
- Conduct rigorous experimentation, analyze results, and publish findings in top-tier AI conferences and journals.
- Collaborate closely with other researchers, engineers, and product teams to translate research into practical applications.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific rigor.
- Stay abreast of the latest advancements in AI, machine learning, and NLP, and identify opportunities for innovation.
- Contribute to the development of robust and scalable NLP systems and libraries.
- Evaluate and benchmark new algorithms and models against existing state-of-the-art.
- Present research findings to both technical and non-technical audiences.
- Manage research projects from conception to completion within a remote work structure, ensuring effective collaboration and documentation.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7-10 years of post-doctoral research experience in AI/ML, with a strong specialization in NLP.
- Proven track record of publications in leading AI/ML conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Deep understanding of deep learning architectures, including transformers, RNNs, CNNs, and their applications in NLP.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with large-scale datasets and distributed training is highly desirable.
- Strong mathematical and statistical background.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to clearly articulate complex research concepts.
- Demonstrated leadership experience and the ability to guide research teams.
- A passion for advancing the field of AI and its real-world applications.
- Comfortable working autonomously and collaboratively in a remote environment.
Principal AI Research Scientist - Machine Learning & NLP
Posted 17 days ago
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Job Description
Responsibilities:
- Conduct advanced research in machine learning, deep learning, and natural language processing, focusing on areas such as large language models (LLMs), transformer architectures, reinforcement learning, and computer vision.
- Design, develop, and implement novel AI algorithms and models to solve complex business problems.
- Lead research projects from conception to prototype development and potential productization.
- Collaborate with cross-functional teams, including software engineers, product managers, and other researchers, to translate research findings into tangible solutions.
- Publish research findings in top-tier academic conferences and journals, and contribute to the broader AI research community.
- Mentor junior researchers and engineers, fostering a collaborative and innovative research environment.
- Evaluate and benchmark the performance of AI models, ensuring state-of-the-art results.
- Stay current with the latest advancements in AI, machine learning, and related fields.
- Develop and maintain high-quality, well-documented code for AI models and experiments.
- Identify new research opportunities and contribute to the strategic direction of the AI research roadmap.
- Present research findings and technical concepts to diverse audiences, including technical and non-technical stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Extensive research experience (7+ years) in AI, with a proven track record of publications and contributions to the field, particularly in NLP and/or deep learning.
- Deep understanding of theoretical ML concepts and practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, and experience with libraries like scikit-learn, Keras, Hugging Face Transformers.
- Experience working with large datasets and distributed computing environments.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
- Demonstrated ability to work independently and lead research initiatives in a remote setting.
This is a fully remote position, offering unparalleled flexibility. The role supports our forward-thinking initiatives impacting areas around **Kericho, Kericho, KE**.
Senior AI Research Scientist - Machine Learning & NLP
Posted 6 days ago
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Senior AI Research Scientist - Machine Learning & NLP Lead
Posted 10 days ago
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Job Description
Responsibilities:
- Conduct advanced research in machine learning, deep learning, and natural language processing.
- Design, develop, and implement novel AI models and algorithms to solve complex problems.
- Lead research projects from conception to prototype and potential production deployment.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Analyze large datasets, identify patterns, and extract meaningful insights.
- Stay abreast of the latest advancements in AI, ML, and NLP research and technologies.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Develop and maintain high-quality, well-documented code (e.g., Python) and research frameworks.
- Evaluate and select appropriate AI/ML tools and platforms for research and development.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of hands-on research experience in AI, with a strong focus on machine learning and NLP.
- Proven track record of developing and deploying advanced ML/NLP models.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, spaCy, Hugging Face).
- Strong programming skills in Python and experience with data manipulation and analysis tools.
- Solid understanding of statistical modeling, algorithms, and data structures.
- Excellent problem-solving, critical thinking, and analytical skills.
- Strong publication record in reputable AI/ML conferences or journals is highly desirable.
- Ability to work independently and lead research initiatives in a remote setting.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts.
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Lead AI & Machine Learning Engineer - NLP
Posted 11 days ago
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Key responsibilities include researching, implementing, and evaluating state-of-the-art NLP techniques and models, such as transformers, recurrent neural networks (RNNs), and convolutional neural networks (CNNs). You will develop and optimize ML pipelines for data preprocessing, model training, and inference. The ideal candidate will have a strong background in programming languages like Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. You will also be responsible for data acquisition, cleaning, and feature engineering for NLP tasks. Collaboration with cross-functional teams, including data scientists, software engineers, and product managers, is crucial. This role requires exceptional problem-solving skills, a deep understanding of computational linguistics, and the ability to translate complex technical concepts into practical applications. You will contribute to defining the AI strategy and roadmap, mentor junior engineers, and stay at the forefront of AI research.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in AI and Machine Learning, with a strong focus on NLP.
- Proven experience in developing and deploying NLP models for tasks like text classification, sentiment analysis, named entity recognition, machine translation, and text generation.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Keras, NLTK, spaCy, Hugging Face Transformers).
- Solid understanding of statistical modeling, machine learning algorithms, and deep learning architectures.
- Experience with large datasets and distributed computing frameworks (e.g., Spark).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Demonstrated leadership potential or experience in guiding technical teams.
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.