2,446 Lead AI Research Scientist Remote jobs in Kenya
Lead Data Scientist - Remote Analytics & AI
Posted 21 days ago
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Remote Lead Data Scientist - AI/ML
Posted 20 days ago
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Lead Data Scientist - Remote Machine Learning
Posted 11 days ago
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- Lead the development and deployment of advanced machine learning models.
- Mentor and guide a team of data scientists and engineers.
- Define research questions and select appropriate methodologies.
- Explore and analyze large, complex datasets.
- Build predictive models and algorithms for scientific applications.
- Collaborate with domain experts and cross-functional teams.
- Translate research findings into practical solutions and insights.
- Contribute to the strategic direction of research and development.
- Ensure the scalability and robustness of deployed models.
- Present findings and recommendations to stakeholders.
- Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Physics).
- 8+ years of experience in data science and machine learning, with leadership experience.
- Expertise in deep learning, NLP, reinforcement learning, and other ML techniques.
- Proficiency in Python or R and associated ML libraries.
- Experience with big data technologies and cloud platforms.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills.
- Proven ability to lead and manage a remote technical team.
Lead Data Scientist - Machine Learning (Remote)
Posted 19 days ago
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Responsibilities:
- Lead the end-to-end development and implementation of machine learning models for various business applications, including prediction, classification, and clustering.
- Design and conduct experiments to test hypotheses and validate model performance.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with stakeholders to understand business needs and translate them into data science projects.
- Perform advanced statistical analysis and data mining on large, complex datasets.
- Develop and maintain data pipelines, ensuring data quality and integrity.
- Stay abreast of the latest research and advancements in machine learning and AI.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences through presentations and reports.
- Contribute to the strategic roadmap for data science initiatives within the company.
- Ensure the ethical and responsible use of data and AI models.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 8+ years of experience in data science, with a significant focus on machine learning and predictive modeling.
- Proven experience in leading data science projects and mentoring teams.
- Deep understanding of various machine learning algorithms (e.g., regression, classification, deep learning, NLP) and their practical applications.
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong experience with SQL and working with large datasets.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Excellent communication, presentation, and interpersonal skills, essential for remote collaboration.
This is a premier opportunity for a talented data scientist to lead impactful projects in a fully remote capacity. Your expertise will drive innovation, with a clear connection to the development needs of emerging markets and regions like **Ongata Rongai, Kajiado, KE**, though the position is entirely remote.
Remote Lead Data Scientist - AI Research
Posted 10 days ago
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Key Responsibilities:
- Lead and mentor a team of data scientists and AI researchers.
- Develop and implement advanced AI and machine learning models.
- Design and execute research projects to explore new AI frontiers.
- Collaborate with product and engineering teams to integrate AI solutions.
- Analyze large datasets to identify patterns and extract valuable insights.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest developments in AI, machine learning, and data science.
- Present complex technical concepts to diverse audiences.
- Contribute to the strategic direction of AI research and development.
- Ensure the scalability and efficiency of AI models and pipelines.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science and machine learning, with a focus on AI research.
- Proven leadership experience in managing research teams.
- Expertise in programming languages such as Python or R, and ML libraries (e.g., TensorFlow, PyTorch).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving and critical thinking skills.
- Strong communication and presentation abilities.
- Demonstrated ability to work independently and lead remote teams effectively.
- A strong publication record in relevant AI/ML venues.
Remote Lead Data Scientist - AI & Machine Learning
Posted 7 days ago
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Key Responsibilities:
- Lead the development and deployment of advanced AI and machine learning models.
- Oversee data science projects from conception to production implementation.
- Mentor and manage a team of data scientists, providing technical guidance and leadership.
- Identify opportunities for leveraging data analytics to solve complex business problems.
- Design and conduct experiments to validate hypotheses and model performance.
- Ensure the quality, integrity, and security of data used for analysis.
- Collaborate with engineering and product teams to integrate ML models into applications.
- Communicate complex analytical results and insights to diverse stakeholders.
- Stay abreast of the latest research and advancements in AI/ML and data science.
- Contribute to the strategic direction of the data science function.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 8 years of experience in data science, with a focus on AI/ML.
- Proven experience leading data science teams and projects.
- Expertise in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, pandas).
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling, machine learning algorithms, and deep learning.
- Excellent problem-solving, analytical, and critical thinking skills.
- Superior communication and presentation abilities.
- Experience with MLOps and model deployment is a plus.
Lead AI Research Scientist - Remote Machine Learning Models
Posted 21 days ago
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Key Responsibilities:
- Lead research initiatives in AI and Machine Learning, focusing on developing innovative algorithms and models.
- Design, implement, and validate complex ML models for various applications.
- Conduct in-depth research on emerging AI trends and technologies.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor and guide junior researchers and engineers in the AI/ML domain.
- Develop frameworks and tools to support AI/ML development and experimentation.
- Identify opportunities to apply AI to solve challenging business problems.
- Stay current with the latest academic and industry advancements in AI.
- Present research progress and findings to technical and non-technical stakeholders.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8+ years of experience in AI research and development, with a strong publication record.
- Deep expertise in areas such as deep learning, neural networks, reinforcement learning, NLP, or computer vision.
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Strong mathematical and statistical background.
- Proven ability to lead research projects from conception to implementation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience working in a remote research environment and collaborating effectively with distributed teams.
- Demonstrated ability to think creatively and independently.
- This position is fully remote, with the main focus on contributing to projects and research relevant to the technological landscape in and around Kitale, Trans-Nzoia, KE .
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Lead AI Research Scientist (Remote)
Posted 21 days ago
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Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 7 days ago
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Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
AI/ML Research Scientist (Computer Vision)
Posted 20 days ago
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Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.