2,608 Senior AI Research Scientist Nlp Remote jobs in Kenya
Principal AI Research Scientist - NLP (Remote)
Posted 21 days ago
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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 .
Lead AI Research Scientist - NLP (Remote)
Posted 19 days ago
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Senior AI Research Scientist (NLP) - Remote
Posted 21 days ago
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Key Responsibilities:
- Conduct advanced research in Natural Language Processing (NLP) and Machine Learning.
- Develop, implement, and evaluate novel NLP algorithms and models.
- Publish research findings in leading peer-reviewed journals and conferences.
- Collaborate with a team of scientists and engineers on AI research projects.
- Design and execute experiments to validate research hypotheses.
- Stay abreast of the latest advancements in AI and NLP.
- Mentor junior researchers and contribute to team knowledge sharing.
- Potentially contribute to grant writing and securing research funding.
- Translate research outcomes into potential product or application features.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
- Minimum of 5 years of post-doctoral research experience in NLP.
- Strong publication record in top-tier NLP and AI conferences/journals (e.g., ACL, NeurIPS, ICML).
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch) and NLP libraries (Hugging Face, spaCy).
- Proficiency in Python and experience with scientific computing libraries.
- Deep understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with large language models (LLMs) and transformer architectures.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and effectively in a remote, collaborative research environment.
Senior AI Research Scientist - NLP Specialist (Remote)
Posted 17 days ago
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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.
Lead Research Scientist - Remote Sensing & AI
Posted 21 days ago
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Responsibilities:
- Lead and mentor a team of remote research scientists.
- Develop and implement advanced AI and machine learning models for remote sensing data.
- Design and execute research experiments to test hypotheses.
- Analyze and interpret complex datasets, deriving actionable insights.
- Publish research findings in top-tier scientific journals and conferences.
- Collaborate with cross-functional teams to translate research into products.
- Contribute to grant writing and secure research funding.
- Oversee research project planning, execution, and reporting.
- Stay abreast of the latest advancements in AI, machine learning, and remote sensing.
- Foster a culture of innovation and scientific excellence.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, Geospatial Science, or a related field with a specialization in AI/ML and remote sensing.
- 8+ years of relevant research experience, including leadership roles.
- Proven expertise in machine learning, deep learning, computer vision, and geospatial data analysis.
- Experience with remote sensing platforms and data (e.g., satellite imagery, LiDAR).
- Strong programming skills (e.g., Python, R, TensorFlow, PyTorch).
- Demonstrated ability to lead research projects and teams in a remote environment.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong publication record and proven ability to communicate complex ideas.
- Experience with cloud computing platforms (AWS, Azure, GCP).
Senior Data Scientist, Remote AI Applications
Posted 15 days ago
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Responsibilities:
- Develop, train, and deploy machine learning and deep learning models.
- Perform exploratory data analysis to identify patterns and insights.
- Clean, transform, and prepare large datasets for analysis and modeling.
- Design and implement feature engineering techniques.
- Evaluate and select appropriate statistical and machine learning algorithms.
- Validate model performance and iterate on improvements.
- Translate complex analytical findings into actionable business recommendations.
- Collaborate with engineers to integrate models into production systems.
- Stay current with the latest research and advancements in data science and AI.
- Mentor junior data scientists and contribute to knowledge sharing.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience as a Data Scientist or in a related analytical role.
- Proven expertise in machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Strong understanding of data manipulation, visualization, and storytelling.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and presentation abilities for remote collaboration.
- Ability to work independently and manage multiple projects effectively.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Lead Data Scientist - Remote Analytics & AI
Posted 21 days ago
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Principal AI Research Scientist - Deep Learning for NLP
Posted 18 days ago
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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 16 days ago
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Senior AI Research Scientist - Machine Learning & NLP
Posted 6 days ago
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