317 Natural Language Processing jobs in Nairobi

• Conduct in-depth research into state-of-the-art NLP techniques and methodologies.
• Develop and prototype advanced NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
• Collaborate with cross-functional teams to integrate AI models into product pipelines.
• Analyze and interpret large datasets to extract meaningful insights and drive model improvements.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and contribute to a culture of innovation and knowledge sharing.
• Stay abreast of the latest advancements in AI and Machine Learning.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of research and development in NLP, with at least 5 years of relevant experience.
• Strong theoretical and practical understanding of machine learning algorithms, statistical modeling, and deep learning.
• Proficiency in Python and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with cloud platforms (AWS, GCP, Azure) and big data technologies is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences.

We are currently inviting applications for an internship position focused on building an agentic system for cultural tailoring of multi-modal content for the African Health Stories project. Africa Health Stories is a collaborative project between Microsoft Research and Stellenbosch University, the University of Pretoria and Swansea University to create a story generation tool which produces interactive visual, oral, and text stories enabling patients to better understand how to apply health advice to their local circumstances.

This role presents a unique opportunity to contribute to the development of Machine Learning (ML) and Image Generation technologies that are culturally and linguistically grounded in the African context.

Responsibilities
Key Responsibilities:

• Participate in the African Health Stories project focused on leveraging generative AI to produce multi-modal content which is medically accurate and culturally appropriate to help patients living with Type II Diabetes make appropriate lifestyle changes.
• Develop agentic solutions for producing and evaluating culturally tailored and medically accurate output.
• Contribute to advancing Microsoft Research Africa, Nairobi's human-centred AI (HCAI) agenda by experimenting with new methods for scalable human-centred evaluation of generative AI outputs.
• Publish findings in top conferences or journals.
• Engage in close collaboration with an interdisciplinary team comprising Researchers, Applied Scientists, Designers, and Machine Learning Engineers across various Microsoft Research teams to drive innovation and facilitate knowledge sharing.

Internship Duration: 6 Months
Locations: Nairobi, Kenya Africa
Qualifications
Required
:

• PhD in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, Physics, or related field or equivalent experience.
• Enrolled in, or recently completed, doctoral studies in Computer Science, Machine Learning, or related field.
• Knowledge of state-of-the-art and emerging Language Models, including their application in complex systems.
• Familiarity with Large Language Models such as the OpenAI GPT models, Phi3.5 etc., model fine-tuning techniques (LoRa, QLoRa), and quantization, prompting techniques (Chain of Thought, ReACT etc.), and Retrieval Augment Generation
• Coding and engineering skills to design and run experiments and help to drive research into product.

Preferred

• Strong understanding of foundational LLM architectures and optimization techniques
• Experience with multimodal models and AI agentic systems.
• A passion for bridging research and real-world impact, with a desire to see innovations translated into practical solutions.
• Publication record in relevant conferences, such as ACL, EMNLP, NeurIPS, ICLR, ICML, etc.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• 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.

• Designing and implementing cutting-edge NLP models and algorithms.
• Developing and deploying production-ready NLP systems at scale.
• Fine-tuning and optimizing pre-trained language models (e.g., BERT, GPT) for specific tasks.
• Conducting research on new NLP techniques and evaluating their potential impact.
• Building robust data pipelines for training and evaluating NLP models.
• Collaborating with backend engineers to integrate NLP services into applications.
• Mentoring junior AI/ML engineers and contributing to team knowledge sharing.
• Ensuring the ethical and responsible development of AI systems.
• Staying updated with the latest advancements in NLP, LLMs, and conversational AI.
• Contributing to technical documentation and thought leadership.

• Design, build, train, and deploy machine learning models for NLP tasks, including sentiment analysis, text classification, named entity recognition, machine translation, and question answering.
• Develop and implement robust data pipelines for processing and preparing large text datasets.
• Experiment with state-of-the-art NLP techniques and models, such as transformers, LSTMs, and BERT.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Optimize model performance for accuracy, efficiency, and scalability.
• Conduct research into new NLP methodologies and technologies.
• Write clean, well-documented, and maintainable code in Python.
• Develop and maintain comprehensive evaluation metrics and perform rigorous testing.
• Stay current with the latest advancements in NLP, deep learning, and AI research.
• Mentor junior engineers and contribute to the team's technical growth.

• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proven experience as a Machine Learning Engineer with a strong focus on Natural Language Processing.
• Extensive experience with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers).
• Proficiency in Python and experience with ML libraries like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of deep learning architectures relevant to NLP.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration skills, essential for a remote team environment.
• Ability to work independently and manage complex projects.
• Experience with large-scale data processing and distributed computing.

• Conduct cutting-edge research in Natural Language Processing (NLP).
• Design, develop, and implement novel NLP models and algorithms.
• Evaluate and optimize the performance of AI systems for language understanding and generation.
• Collaborate with engineers to integrate research prototypes into production systems.
• Stay current with the latest advancements in AI, machine learning, and NLP.
• Publish research findings in leading academic conferences and journals.
• Mentor junior researchers and contribute to the team's knowledge sharing.
• Propose and lead new research initiatives in NLP.
• Present research results to internal teams and external audiences.
• Contribute to the development of intellectual property and patents.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• 3+ years of dedicated research experience in NLP.
• Strong publication record in top NLP/AI conferences (e.g., ACL, EMNLP, NeurIPS).
• Proficiency in Python and ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Expertise in areas such as deep learning for NLP, transformer models, sequence-to-sequence models, etc.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a remote setting.

• Lead cutting-edge research in Natural Language Processing (NLP) and develop state-of-the-art AI models.
• Design, implement, and evaluate novel algorithms for tasks such as text classification, entity recognition, sentiment analysis, and machine translation.
• Develop and fine-tune large language models (LLMs) for various applications.
• Mentor and guide a team of AI researchers and engineers, fostering a collaborative and innovative research environment.
• Stay abreast of the latest advancements in AI, machine learning, and NLP, and identify opportunities for application.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with engineering teams to prototype and deploy AI models into production systems.
• Contribute to the intellectual property portfolio through invention disclosures and patent applications.
• Define research roadmaps and project objectives, ensuring alignment with strategic business goals.
• Present research progress and findings to technical and non-technical audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of post-doctoral research experience in AI and NLP, with a strong publication record.
• Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers).
• Extensive experience with large language models (LLMs), transformer architectures, and their applications.
• Proven ability to lead research projects from conception to completion.
• Strong programming skills in Python and experience with relevant libraries (NumPy, Pandas, Scikit-learn).
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to articulate complex concepts clearly.
• Demonstrated experience in mentoring junior researchers.
• Ability to thrive in a dynamic, remote research environment.

• Conduct cutting-edge research in Natural Language Processing, including areas such as language modeling, sentiment analysis, machine translation, question answering, and dialogue systems.
• Design, implement, and evaluate novel deep learning architectures and algorithms for NLP tasks.
• Develop and refine state-of-the-art NLP models and techniques to solve complex real-world problems.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with cross-functional teams, including engineers and product managers, to translate research into practical applications.
• Mentor junior researchers and contribute to the growth of the AI research community within the organization.
• Stay current with the latest advancements in AI, machine learning, and NLP.
• Develop and maintain robust experimental frameworks for reproducible research.
• Contribute to the ethical development and deployment of AI technologies.
• Explore new research directions and identify opportunities for innovation.

• A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
• A minimum of 5 years of post-doctoral or industry research experience in NLP.
• Demonstrated track record of significant research contributions in NLP, evidenced by publications in top-tier venues (e.g., ACL, EMNLP, NeurIPS, ICML).
• Deep understanding of machine learning, deep learning, and classical NLP techniques.
• Proficiency in programming languages such as Python, and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed computing.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and collaboration skills, with the ability to present complex technical concepts effectively in a remote environment.
• Proven ability to work independently and drive research projects from conception to completion.
• Experience with model optimization, deployment, and scaling is a plus.