2,602 Principal AI Research Scientist Nlp jobs in Kenya
Principal Research Scientist - AI
Posted 6 days ago
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Key Responsibilities:
- Conduct high-impact research in key areas of Artificial Intelligence, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Design and implement novel algorithms and models, and conduct rigorous empirical evaluations.
- Collaborate with other researchers and engineers to translate research findings into practical applications and prototypes.
- Publish research results in leading AI conferences and journals.
- Mentor junior researchers and contribute to the intellectual growth of the team.
- Stay abreast of the latest advancements in AI and related fields, identifying emerging trends and opportunities.
- Contribute to the strategic direction of AI research within the organization.
- Present research findings internally and externally to technical and non-technical audiences.
- Develop and maintain high-quality code for research experiments and prototypes.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Minimum of 8 years of post-doctoral research experience in AI/ML, with a strong publication record in top-tier venues.
- Deep theoretical understanding of machine learning, statistical modeling, and algorithms.
- Expertise in at least one major area of AI (e.g., NLP, Computer Vision, Reinforcement Learning).
- Proficiency in programming languages such as Python, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing is highly desirable.
- Strong analytical and problem-solving skills, with a creative approach to research challenges.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated ability to lead research projects and work effectively in a remote, collaborative team environment.
- A passion for innovation and a drive to make significant contributions to the field of AI.
Principal Research Scientist - AI & Machine Learning
Posted 20 days ago
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Principal Research Scientist - AI in Genomics
Posted 20 days ago
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Job Description
Responsibilities:
- Lead and conduct cutting-edge research in AI applied to genomics and related biological fields.
- Develop and implement novel machine learning algorithms and statistical models for analyzing large-scale genomic datasets.
- Design and execute experiments, interpret results, and translate findings into biological insights and actionable strategies.
- Spearhead the development of predictive models for disease genomics, drug discovery, and personalized therapeutics.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Mentor and guide a team of research scientists and bioinformaticians.
- Collaborate with internal teams and external academic/industry partners to drive research initiatives.
- Identify and pursue new research opportunities and funding avenues (e.g., grants).
- Contribute to the strategic direction of the company's research and development efforts.
- Stay abreast of the latest advancements in AI, machine learning, genomics, and computational biology.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science (with AI/ML focus), Genetics, or a related quantitative field.
- 10+ years of post-doctoral research experience in genomics, bioinformatics, and AI/ML.
- Demonstrated expertise in applying machine learning and deep learning techniques to biological data.
- Strong understanding of human genetics, molecular biology, and genomics data analysis pipelines.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and R.
- Experience with high-performance computing environments and cloud platforms.
- Proven track record of impactful publications and presentations in the field.
- Excellent leadership, communication, and interpersonal skills for effective remote collaboration.
- Experience in grant writing is a significant advantage.
- Strategic thinker with a passion for scientific discovery.
Principal Research Scientist - AI and Machine Learning
Posted 20 days ago
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Principal Research Scientist - AI in Drug Discovery
Posted 15 days ago
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Job Description
Responsibilities:
- Lead the design and execution of AI/ML-driven research programs for drug discovery and development.
- Develop and apply advanced machine learning algorithms (e.g., deep learning, reinforcement learning) to analyze complex biological and chemical data.
- Identify and validate novel drug targets and therapeutic strategies through in-silico methods.
- Build predictive models for compound screening, property prediction, and ADMET profiling.
- Collaborate with computational chemists and biologists to integrate AI insights into experimental workflows.
- Stay at the forefront of AI research and its applications in the pharmaceutical industry, identifying emerging technologies and methodologies.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Mentor and guide junior scientists and postdoctoral fellows in AI/ML research.
- Contribute to intellectual property generation and patent applications.
- Ensure robust data management, reproducibility, and documentation of research projects.
- Ph.D. in Computer Science, Computational Biology, Cheminformatics, Bioinformatics, or a related quantitative field.
- A minimum of 10 years of post-doctoral research experience, with a significant focus on AI/ML applications in drug discovery or life sciences.
- Proven track record of groundbreaking research, evidenced by high-impact publications and citations.
- Expertise in a wide range of AI/ML techniques, including deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant scientific libraries (e.g., scikit-learn, RDKit, OpenBabel).
- Proficiency in analyzing large-scale biological datasets (genomics, proteomics, transcriptomics) and chemical structures.
- Excellent understanding of drug discovery processes and relevant biological pathways.
- Exceptional problem-solving, analytical, and critical thinking abilities.
- Demonstrated leadership in guiding research projects and mentoring talent.
- Outstanding written and verbal communication skills.
- This is a fully remote position, supporting scientific initiatives for **Machakos, Machakos, KE**, and global research centers.
Principal Research Scientist - AI/ML
Posted 20 days ago
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Job Description
Key Responsibilities:
- Lead and conduct advanced research in AI/ML, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop novel algorithms and models to solve complex scientific and technological challenges.
- Design and execute rigorous experiments to validate research hypotheses.
- Publish research findings in leading academic conferences and journals.
- Collaborate with other researchers and engineers to build prototypes and proof-of-concepts.
- Mentor junior researchers and contribute to the growth of the research team.
- Identify emerging trends and opportunities for innovation in AI/ML research.
- Present research findings to internal stakeholders and the broader scientific community.
- Contribute to grant proposals and secure research funding.
- Ensure adherence to ethical research practices and data privacy regulations.
- Foster a culture of scientific rigor and open collaboration within a remote setting.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related quantitative field.
- 10+ years of post-doctoral research experience in AI/ML, with a significant focus on leading research initiatives.
- A distinguished publication record in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Expertise in one or more core AI/ML areas such as deep learning, reinforcement learning, NLP, or computer vision.
- Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or JAX.
- Proven ability to conceptualize, design, and execute independent research projects.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Demonstrated experience in leading research teams and mentoring junior scientists.
- Ability to work independently, manage priorities, and thrive in a fast-paced, fully remote research environment.
This is a fully remote position, offering the utmost flexibility. Our client is committed to advancing scientific discovery through remote collaboration. The successful candidate will be a recognized leader in the field. While the context is set around Kitale, Trans-Nzoia, KE , this opportunity is open to world-class researchers globally. This role is pivotal for driving innovation at the forefront of AI/ML.
Principal Research Scientist - AI in Biotech - Remote
Posted 20 days ago
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Job Description
- 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.
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Principal Research Scientist - AI & Machine Learning - Remote
Posted 20 days ago
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Responsibilities include identifying promising research directions, formulating hypotheses, and conducting rigorous experiments. You will analyze large datasets, interpret results, and translate findings into practical solutions or theoretical advancements. The role demands exceptional problem-solving skills, creativity, and the ability to work independently and lead research endeavors. You will mentor junior researchers, present findings to technical and non-technical audiences, and contribute to intellectual property development. A deep understanding of statistical methods and programming proficiency in languages like Python is required. This is a unique opportunity to make significant contributions to the field of AI/ML within a dynamic, research-driven organization, contributing to innovation impacting sectors near **Machakos** and globally, all while working remotely.
Remote Principal Research Scientist - AI & Machine Learning
Posted 3 days ago
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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 Research Scientist - AI in Scientific Discovery (Remote)
Posted 2 days ago
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Job Description
Responsibilities:
- Lead the design and implementation of AI/ML models for scientific research problems.
- Develop novel algorithms and methodologies to accelerate scientific discovery.
- Collaborate with domain experts to define research objectives and experimental designs.
- Analyze and interpret large, complex scientific datasets using advanced computational techniques.
- Oversee the development and deployment of AI-powered research tools.
- Mentor and guide a team of research scientists and engineers.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Contribute to the strategic vision and roadmap for AI in scientific research.
- Evaluate and integrate new AI technologies and tools.
- Ensure the reproducibility and rigor of research outputs.
- Ph.D. in Computer Science, Artificial Intelligence, Physics, Chemistry, Biology, or a related quantitative field.
- 10+ years of post-doctoral research experience applying AI/ML to scientific problems.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and statistical modeling.
- Proven experience in data analysis, feature engineering, and model evaluation.
- Strong programming skills in Python and proficiency with scientific computing libraries.
- Demonstrated ability to lead research projects and mentor junior team members.
- Excellent communication, presentation, and collaboration skills.
- Experience working in a fully remote, collaborative research environment.
- A strong publication record in leading AI and scientific venues is essential.
- Domain expertise in (reiterate the specific scientific field) is highly desirable.