2,602 Principal AI Research Scientist Nlp Remote jobs in Kenya
Principal Research Scientist - AI in Biotech - Remote
Posted 20 days ago
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- Defining and driving the strategic research agenda for AI applications in biotechnology.
- Developing and implementing advanced machine learning models for biological data analysis, such as protein folding, drug target identification, and genomic variation analysis.
- Designing and executing complex computational experiments and simulations.
- Collaborating with experimental biologists and chemists to validate AI-driven hypotheses and discoveries.
- Leading the integration of AI/ML tools into the drug discovery and development pipeline.
- Mentoring and guiding a team of talented research scientists and data engineers.
- Publishing research findings in top-tier scientific journals and presenting at international conferences.
- Securing and managing research grants and collaborations.
- Staying abreast of the latest advancements in AI, machine learning, computational biology, and related fields.
- Ensuring the ethical and responsible use of AI in biological research.
- Contributing to the intellectual property portfolio through patents and innovative discoveries.
Principal AI Research Scientist - Deep Learning for NLP
Posted 17 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 17 days ago
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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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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.
Remote Principal Research Scientist - AI & Machine Learning
Posted 3 days ago
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Job Description
Key responsibilities include:
- Leading independent research initiatives in AI and Machine Learning, with a focus on novel algorithm development.
- Designing and implementing state-of-the-art ML models and deep learning architectures.
- Conducting rigorous experimentation, data analysis, and performance evaluation of developed models.
- Publishing research findings in leading academic venues and contributing to the broader scientific community.
- Mentoring and guiding a team of research scientists and engineers.
- Collaborating with product and engineering teams to explore the commercialization of research breakthroughs.
- Staying at the forefront of AI research by actively engaging with the scientific literature and attending conferences.
- Contributing to the strategic direction of the company's AI research roadmap.
- Developing and presenting research proposals to secure funding and resources.
- Ensuring ethical considerations are integrated into AI research and development processes.
To qualify for this position, candidates must possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 10+ years of post-doctoral research experience in AI/ML is required, with a significant portion in a lead or principal research role. A strong portfolio of peer-reviewed publications and demonstrated success in leading research projects are essential. Expertise in at least one of the following areas is highly desirable: NLP, Computer Vision, Reinforcement Learning, Generative Models, or Explainable AI. Proficiency in programming languages such as Python and ML frameworks like TensorFlow or PyTorch is mandatory. Excellent scientific communication, leadership, and problem-solving skills are critical. This remote role requires a high degree of self-motivation, intellectual curiosity, and the ability to work effectively with distributed teams.
Principal AI Research Scientist - Remote Machine Learning
Posted 20 days ago
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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.
Principal Remote Data Scientist (AI/ML)
Posted 11 days ago
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Principal AI Research Scientist (Remote)
Posted 20 days ago
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Responsibilities:
- Lead cutting-edge research in artificial intelligence, focusing on areas such as machine learning, deep learning, NLP, and computer vision.
- Design, develop, and implement novel AI algorithms and models.
- Conduct rigorous experimentation and validation of research hypotheses.
- Publish research findings in leading academic conferences and journals.
- Collaborate with software engineers to deploy AI models into production systems.
- Mentor and guide junior research scientists and engineers.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Identify new research opportunities and contribute to the strategic direction of AI development.
- Contribute to the development of intellectual property and patents.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of post-Ph.D. research experience in AI/ML.
- Demonstrated track record of significant contributions to the field of AI, evidenced by publications, patents, and open-source contributions.
- Expertise in one or more core AI areas (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership and communication abilities, with the capacity to explain complex concepts to diverse audiences.
- Proven ability to work independently and drive research projects to completion in a remote setting.