2,516 Principal Remote Data Scientist AI Ml jobs in Kenya
Principal Remote Data Scientist (AI/ML)
Posted 12 days ago
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Remote Principal Data Scientist - Machine Learning
Posted 13 days ago
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Remote Principal Research Scientist - AI in Drug Discovery
Posted 21 days ago
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Principal Remote Scientific Research Scientist (Data Science) (Remote)
Posted 21 days ago
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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
Principal Remote AI Research Scientist (NLP)
Posted 6 days ago
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Responsibilities:
- Lead innovative research projects in NLP, focusing on areas such as language understanding, generation, translation, sentiment analysis, and information extraction.
- Design and implement novel algorithms and models to address complex NLP challenges.
- Develop and train large-scale language models, leveraging advanced deep learning techniques.
- Conduct rigorous experimentation and evaluation of NLP models, ensuring robust and reliable performance.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific excellence.
- Stay abreast of the latest advancements in AI, machine learning, and NLP, identifying new research opportunities.
- Contribute to the development of the company's AI strategy and roadmap.
- Analyze large text datasets, identifying patterns and insights to drive model development.
- Present research proposals and results to technical and executive audiences.
- Contribute to building and maintaining our client's intellectual property portfolio.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field, with a strong specialization in NLP.
- Minimum of 8 years of research experience in NLP, including significant contributions through publications in leading venues.
- Proven track record of leading research projects and driving innovation in NLP.
- Deep understanding of various NLP techniques, including deep learning architectures (e.g., Transformers, RNNs, LSTMs), statistical methods, and symbolic AI.
- Expertise in programming languages such as Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent scientific writing and presentation skills.
- Ability to work independently and lead research initiatives in a fully remote environment.
- Strong collaborative and communication skills, with the ability to work effectively with cross-functional teams.
- Experience with large-scale data processing and distributed computing is a plus.
- A passion for pushing the boundaries of AI and NLP research.
Remote Principal Research Scientist - AI & Machine Learning
Posted 4 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.
Remote Principal Research Scientist - AI/ML
Posted 19 days ago
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Responsibilities:
- Lead and manage research projects in AI/ML, from conceptualization to implementation and validation.
- Develop and refine novel algorithms and methodologies in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design and conduct rigorous experiments to evaluate the performance and efficacy of AI models.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Collaborate with cross-functional teams of engineers and domain experts to integrate research outcomes into practical applications.
- Mentor and guide a team of research scientists and engineers, fostering a culture of innovation and scientific excellence.
- Stay abreast of the latest advancements in AI/ML and identify emerging research opportunities.
- Contribute to the development of intellectual property, including patents and trade secrets.
- Write grant proposals and secure funding for research initiatives.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- A minimum of 10 years of hands-on research experience in AI/ML, with a strong publication record in leading venues.
- Demonstrated expertise in one or more subfields of AI/ML (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proven experience leading research teams and managing complex research projects.
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent understanding of statistical modeling, data analysis, and experimental design.
- Exceptional problem-solving skills and the ability to tackle challenging, open-ended research problems.
- Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a distributed, remote environment.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
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Remote Principal AI Research Scientist
Posted 19 days ago
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Remote Principal AI Research Scientist - Computer Vision
Posted 11 days ago
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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**.
Remote Principal AI Research Scientist - Machine Learning
Posted 11 days ago
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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.