1,048 Remote Principal AI Research Scientist jobs in Kenya
Principal Remote Data Scientist (AI/ML)
Posted 12 days ago
Job Viewed
Job Description
Remote Principal Research Scientist (AI/ML)
Posted 21 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead and direct research projects in AI/ML, focusing on areas relevant to scientific advancement.
- Design, develop, and implement state-of-the-art AI/ML models and algorithms.
- Conduct rigorous experimentation and validation of research hypotheses.
- Analyze large and complex scientific datasets to extract actionable insights.
- Publish research findings in leading scientific journals and present at international conferences.
- Collaborate closely with cross-functional teams of scientists, engineers, and domain experts.
- Mentor and guide junior research scientists, fostering their technical growth.
- Stay abreast of the latest advancements in AI/ML, deep learning, and related fields.
- Contribute to the strategic direction of the R&D department and identify new research opportunities.
- Develop and maintain high-quality research code and documentation.
- Evaluate and integrate novel AI/ML tools and technologies into research workflows.
- Secure intellectual property through patents and publications.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Physics, or a related quantitative field.
- 10+ years of post-doctoral or industry research experience in AI/ML.
- Proven track record of leading successful research projects and delivering impactful scientific outcomes.
- Deep expertise in machine learning algorithms (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 working with large-scale scientific datasets and high-performance computing environments.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong publication record in top-tier scientific venues.
- Excellent communication and presentation skills, with the ability to articulate complex scientific concepts clearly.
- Demonstrated leadership capabilities and experience mentoring scientific staff.
- Ability to work independently and collaboratively in a fully remote setting, managing complex projects autonomously.
Remote Principal Research Scientist - AI & Machine Learning
Posted 5 days ago
Job Viewed
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.
Remote Principal Data Scientist - Machine Learning
Posted 13 days ago
Job Viewed
Job Description
Remote Principal Research Scientist - AI in Drug Discovery
Posted 21 days ago
Job Viewed
Job Description
Remote Principal AI Research Scientist - Computer Vision
Posted 12 days ago
Job Viewed
Job Description
Key responsibilities include:
- Leading the research agenda for computer vision, identifying novel approaches and opportunities for innovation.
- Designing and implementing advanced deep learning models and algorithms for tasks such as image classification, object detection, segmentation, tracking, and 3D reconstruction.
- Conducting rigorous theoretical and experimental research, including data collection, model training, and performance evaluation.
- Publishing research findings in top-tier AI and computer vision conferences and journals.
- Collaborating closely with engineering teams to prototype and integrate research advancements into scalable products and services.
- Mentoring junior researchers and engineers, fostering a culture of scientific inquiry and technical excellence.
- Staying at the forefront of AI and computer vision research, continuously exploring new techniques and technologies.
- Securing intellectual property through patent applications.
- Contributing to the strategic direction of the AI research group and the company's overall technological roadmap.
- Presenting research results and insights to both technical and non-technical audiences.
The ideal candidate will possess a Ph.D. in Computer Science, Electrical Engineering, or a related field with a strong focus on computer vision and machine learning. A proven track record of impactful research, demonstrated by publications, patents, and successful product contributions, is essential. Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, C++) is required. You should have a deep understanding of convolutional neural networks (CNNs), generative adversarial networks (GANs), transformers, and other relevant architectures. Excellent analytical, problem-solving, and communication skills are critical for this remote leadership role. This position offers a unique opportunity to shape the future of AI through remote collaboration, contributing significantly to our client's innovative work within the context of **Kitale, Trans-Nzoia, KE**.
Principal Remote Scientific Research Scientist (Data Science) (Remote)
Posted 21 days ago
Job Viewed
Job Description
Key responsibilities include spearheading research projects, mentoring junior scientists, and collaborating with interdisciplinary teams to explore novel hypotheses and develop groundbreaking solutions. You will be expected to author high-impact scientific publications, present findings at international conferences, and contribute to patent filings. Expertise in programming languages such as Python or R, proficiency with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn), and advanced knowledge of big data technologies and cloud computing platforms are mandatory. A strong understanding of statistical inference, experimental design, and data visualization techniques is essential.
You will play a pivotal role in shaping our client's data science strategy, identifying emerging trends, and advocating for the adoption of new methodologies and tools. The ability to lead complex, multi-faceted research endeavors with minimal supervision, while fostering a collaborative and intellectually stimulating remote work environment, is paramount. Exceptional communication, presentation, and interpersonal skills are required to effectively convey complex technical concepts to diverse audiences, including executive leadership and external collaborators. This is a unique opportunity to influence the future of scientific research at the highest level.
Location: Garissa, Garissa, KE
Be The First To Know
About the latest Remote principal ai research scientist Jobs in Kenya !
Remote Principal AI Research Scientist - Machine Learning
Posted 12 days ago
Job Viewed
Job Description
Key responsibilities include conceptualizing and executing research projects, exploring novel approaches to machine learning, deep learning, and related AI domains. You will collaborate with a team of world-class researchers and engineers to translate theoretical concepts into practical applications. This role requires a deep understanding of theoretical ML principles, statistical modeling, and various ML techniques, including supervised, unsupervised, and reinforcement learning. Experience with large-scale data processing, distributed computing, and cloud platforms is essential. The Principal AI Research Scientist will also mentor junior researchers, present findings to internal and external audiences, and stay abreast of the latest advancements in the field. A strong publication record in leading AI venues (e.g., NeurIPS, ICML, ICLR) is highly desirable. This is an exceptional chance for a visionary AI expert to drive innovation and make significant contributions to the field, working remotely from Mombasa, Mombasa, KE , and influencing global technological advancements. We are looking for an individual with a proven ability to conduct independent, high-impact research and a passion for solving complex AI challenges. Your leadership in defining research directions and mentoring emerging talent will be crucial to the continued success of our client's AI initiatives.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 8 years of relevant research experience in AI/ML.
- Extensive publication record in top-tier AI/ML conferences and journals.
- Deep theoretical and practical expertise in machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing frameworks (e.g., Spark).
- Proven ability to lead research projects and mentor junior scientists.
- Strong problem-solving skills and creativity in developing novel AI solutions.
- Excellent communication and presentation skills.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Remote Principal AI Research Scientist
Posted 21 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct advanced research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop and implement novel AI models, algorithms, and techniques.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
- Stay abreast of the latest advancements in AI and emerging technologies through literature review and conference attendance.
- Mentor junior researchers and contribute to the growth of the AI research community within the company.
- Identify and explore new research directions and potential application areas for AI.
- Contribute to the development of intellectual property and patents.
- Present research outcomes and technical details to both technical and non-technical audiences.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related field.
- Minimum of 8 years of relevant research experience, with a strong publication record in leading AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL).
- Deep expertise in one or more core AI subfields (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proficiency in programming languages commonly used in AI research (e.g., Python) and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing.
- Strong mathematical and statistical foundation.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to convey complex research concepts clearly.
- Proven ability to work independently and lead complex research projects in a remote setting.
- A passion for innovation and a drive to make significant contributions to the field of AI.
This is an exceptional opportunity for a leading AI researcher to make a significant impact on the future of technology, working remotely. Your work will be pivotal in developing next-generation AI capabilities, potentially influencing developments in regions such as Kisumu, Kisumu, KE .
Remote Principal AI Research Scientist - NLP
Posted 21 days ago
Job Viewed
Job Description
- Lead research initiatives in NLP, including but not limited to, text generation, sentiment analysis, machine translation, and question answering.
- Develop and implement novel machine learning and deep learning models for language understanding.
- Design and conduct experiments to evaluate model performance and identify areas for improvement.
- Collaborate with cross-functional teams to translate research findings into practical applications.
- Publish research results in leading conferences and journals.
- Mentor and guide junior research scientists and engineers.
- Stay abreast of the latest advancements in AI, NLP, and related fields.
- Contribute to the intellectual property and strategic direction of the AI research group.
- Present research findings to both technical and non-technical audiences.
- Foster a culture of innovation and scientific rigor within the team.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Extensive experience in NLP research with a strong publication record in top-tier venues (e.g., ACL, EMNLP, NeurIPS).
- Deep understanding of deep learning architectures (e.g., Transformers, RNNs, CNNs) and NLP techniques.
- Proficiency in programming languages such as Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face).
- Proven ability to lead complex research projects from conception to completion.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with distributed training and large-scale data processing.