2,494 Principal AI Research Scientist Computer Vision jobs in Kenya
Principal Research Scientist - Artificial Intelligence Ethics
Posted today
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Key Responsibilities:
- Lead and conduct advanced research on the ethical implications of artificial intelligence and machine learning.
- Develop theoretical frameworks and practical methodologies for assessing and mitigating ethical risks in AI systems.
- Investigate issues of bias, fairness, accountability, transparency, and privacy in AI.
- Collaborate with AI researchers, engineers, policymakers, and ethicists globally.
- Publish research findings in top-tier academic journals and present at international conferences.
- Influence the development of AI ethics guidelines, standards, and policies.
- Advise government agencies and industry leaders on responsible AI practices.
- Develop educational materials and conduct workshops on AI ethics for diverse audiences.
- Contribute to the strategic direction of the institute's AI ethics research program.
- Mentor junior researchers and postdoctoral fellows.
- Evaluate the societal impact of emerging AI technologies.
- Translate complex ethical concepts into actionable recommendations for AI developers and deployers.
- Engage in public discourse on AI ethics through articles, interviews, and public speaking.
- Foster interdisciplinary collaboration on AI ethics initiatives.
- Ensure the ethical conduct of research projects.
- Ph.D. in Philosophy, Ethics, Computer Science, Law, Sociology, or a related field with a strong focus on AI ethics.
- Minimum of 10 years of research experience, with a significant portion dedicated to AI ethics and responsible AI.
- Demonstrated track record of high-impact publications, grant funding, and leadership in the field of AI ethics.
- Deep understanding of AI/ML concepts, algorithms, and their societal implications.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to engage diverse stakeholders.
- Proven experience leading research teams and managing complex projects in a remote environment.
- Familiarity with relevant legal and policy frameworks concerning AI.
- Strong commitment to advancing ethical AI development and deployment.
- Ability to work independently and drive ambitious research agendas.
- Experience in public policy engagement or industry consultation is a significant advantage.
Principal Research Scientist - AI
Posted 7 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 Ethics
Posted today
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Principal Research Scientist - AI in Genomics
Posted 21 days ago
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Responsibilities:
- Lead the design and execution of cutting-edge research projects focused on applying AI/ML to large-scale genomic and multi-omic datasets.
- Develop, implement, and validate novel AI/ML algorithms and models for tasks such as variant calling, gene expression analysis, disease association studies, and drug discovery.
- Collaborate with bioinformaticians, geneticists, clinicians, and other researchers to define research questions and translate biological problems into computational frameworks.
- Supervise and mentor junior researchers, postdoctoral fellows, and research associates, fostering a collaborative and productive research environment.
- Publish research findings in high-impact peer-reviewed journals and present work at international conferences.
- Secure research funding through grant writing and proposal development.
- Establish and maintain collaborations with academic and industry partners.
- Contribute to the strategic direction of the research group and the organization's scientific initiatives.
- Ensure the reproducibility and scalability of developed computational methods.
- Stay current with the latest advancements in AI, machine learning, genomics, bioinformatics, and computational biology.
- Manage research budgets and resources effectively.
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genomics, Statistics, or a closely related field.
- A minimum of 8 years of post-doctoral research experience with a strong publication record in AI/ML and genomics.
- Demonstrated expertise in developing and applying machine learning techniques (e.g., deep learning, reinforcement learning, Bayesian methods) to biological data.
- Proficiency in programming languages such as Python or R and associated scientific libraries (e.g., TensorFlow, PyTorch, scikit-learn, Biopython).
- Extensive experience with genomic data types (e.g., WGS, WES, RNA-seq, ChIP-seq) and associated analysis pipelines.
- Proven ability to lead research projects, manage teams, and secure funding.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with multidisciplinary teams.
- Experience working in a remote research setting is preferred.
- Familiarity with high-performance computing (HPC) environments and cloud computing platforms.
Principal Research Scientist - AI & Machine Learning
Posted 21 days ago
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Key Responsibilities:
- Lead and direct cutting-edge research projects in AI and Machine Learning, focusing on areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
- Develop, test, and implement advanced ML algorithms and models.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with product teams to translate research outcomes into practical applications and product features.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific inquiry and rigor.
- Stay abreast of the latest advancements in AI/ML research and identify new research opportunities.
- Design and conduct experiments to validate hypotheses and evaluate model performance.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of novel approaches.
- Contribute to the intellectual property portfolio through patents and disclosures.
- Present research findings to technical and non-technical audiences.
- Engage in strategic planning for the research roadmap and future directions of AI development.
- Effectively manage research projects, including timelines, resources, and deliverables, balancing remote and on-site work as required.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- Minimum of 10 years of hands-on research experience in AI/ML, with a proven track record of significant contributions and publications.
- Deep theoretical understanding and practical experience with various ML algorithms, including deep neural networks, SVMs, and ensemble methods.
- Expertise in programming languages commonly used in AI research (e.g., Python, R, C++) and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) for large-scale ML model training.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
- Proven ability to lead research teams and manage complex R&D projects.
- Experience with data science tools and techniques for data cleaning, feature engineering, and analysis.
- Ability to work independently and collaboratively in a hybrid work environment.
- A genuine passion for scientific discovery and technological advancement.
Principal Research Scientist - Data Science & AI
Posted 5 days ago
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Key Responsibilities:
- Define and execute a research strategy focused on advanced data science and artificial intelligence methodologies.
- Develop, implement, and validate sophisticated machine learning models, deep learning architectures, and AI algorithms.
- Conduct in-depth data analysis, feature engineering, and model training on large, complex datasets.
- Lead the research and development of novel AI solutions for diverse applications.
- Mentor and guide a team of data scientists and research engineers, fostering a culture of innovation and scientific excellence.
- Stay abreast of the latest advancements in AI, machine learning, statistical modeling, and related fields.
- Publish research findings in top-tier conferences and journals, and contribute to patent applications.
- Collaborate with cross-functional teams to translate research insights into practical, scalable solutions.
- Evaluate and select appropriate tools, technologies, and frameworks for research projects.
- Present complex technical concepts and research outcomes to both technical and executive audiences.
- Ensure the ethical considerations and potential biases of AI models are addressed.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 8 years of research experience in Data Science and AI, with a proven track record of impactful contributions.
- Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing.
- Proficiency in programming languages such as Python, R, and experience with big data technologies (e.g., Spark, Hadoop).
- Strong mathematical and statistical background.
- Demonstrated experience in leading research projects and mentoring junior scientists.
- Excellent publication record in leading AI/ML venues.
- Exceptional problem-solving, analytical, and critical thinking skills.
- Outstanding communication, presentation, and interpersonal skills, vital for effective remote collaboration.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Principal Research Scientist - AI in Drug Discovery
Posted 11 days ago
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Responsibilities:
- Design and implement novel AI/ML algorithms for tasks such as drug target identification, molecule generation, property prediction, and clinical trial optimization.
- Develop and manage large-scale biological and chemical datasets for training and validating AI models.
- Collaborate closely with computational chemists, biologists, pharmacologists, and clinicians to integrate AI insights into drug discovery pipelines.
- Lead research projects from conceptualization to publication and potential IP generation.
- Stay at the forefront of AI research and its applications in life sciences, identifying new opportunities and methodologies.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Mentor junior scientists and contribute to building a world-class AI research capability.
- Ensure the rigorous application of scientific methodology and data integrity in all research activities.
- Evaluate and select appropriate computational tools and platforms for AI-driven research.
- Contribute to strategic planning for future research directions and technological investments.
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, Cheminformatics, or a related quantitative field with a strong AI/ML focus.
- A minimum of 10 years of relevant research experience post-Ph.D., preferably with experience in the pharmaceutical or biotechnology industry.
- Demonstrated expertise in developing and applying deep learning, reinforcement learning, or other advanced ML techniques to biological or chemical data.
- Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of biological pathways, molecular structures, and drug discovery processes.
- Proven track record of impactful scientific publications and presentations.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, essential for leading and working within a remote team.
- Experience with high-performance computing environments.
- Ability to independently drive research initiatives and manage complex projects.
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Principal Research Scientist - AI and Machine Learning
Posted 21 days ago
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Principal Research Scientist - AI/ML
Posted 21 days ago
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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 21 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.