2,491 AI Research Scientists jobs in Kenya
Graduate Data Scientist - Machine Learning Research
Posted 20 days ago
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Principal Data Scientist, Machine Learning Research
Posted 9 days ago
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- Leading the design, development, and implementation of advanced machine learning models and algorithms.
- Conducting in-depth data analysis, feature engineering, and model evaluation on large, complex datasets.
- Researching and exploring new ML techniques and technologies to solve challenging business problems.
- Developing and deploying robust, scalable ML solutions into production environments.
- Mentoring junior data scientists and contributing to the growth of the data science team.
- Collaborating with cross-functional teams to understand business needs and translate them into data science projects.
- Communicating complex findings and model insights to technical and non-technical stakeholders.
- Staying abreast of the latest advancements in machine learning, AI, and related fields.
- Designing and executing experiments to validate hypotheses and improve model performance.
- Developing and maintaining clear documentation for models, code, and methodologies.
- Contributing to the company's intellectual property through publications and patents.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Building and maintaining data pipelines for model training and inference.
- Proactively identifying opportunities for leveraging data science to drive business value.
- Championing data-driven approaches throughout the organization.
Remote Senior Data Scientist - Machine Learning Research
Posted 20 days ago
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Responsibilities:
- Design, develop, and implement sophisticated machine learning models and algorithms to solve complex business problems.
- Conduct exploratory data analysis to identify patterns, trends, and insights from large and complex datasets.
- Perform feature engineering, model selection, training, validation, and hyperparameter tuning.
- Develop predictive and prescriptive models for applications such as forecasting, anomaly detection, recommendation systems, and natural language processing.
- Evaluate model performance, interpret results, and communicate findings clearly to technical and non-technical stakeholders.
- Collaborate with software engineers to deploy machine learning models into production environments.
- Stay abreast of the latest research and advancements in machine learning, AI, and related fields.
- Design and conduct experiments to test hypotheses and validate model effectiveness.
- Develop and maintain robust data pipelines for model training and inference.
- Mentor junior data scientists and contribute to the team's technical growth.
- Ensure data quality, integrity, and privacy throughout the data science lifecycle.
- Write clean, well-documented, and reproducible code, primarily in Python or R.
- Contribute to the development of intellectual property through research and innovation.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with a focus on Machine Learning.
- Proven track record of conducting cutting-edge research and developing impactful machine learning models.
- Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong programming skills in Python or R, including experience with data manipulation libraries (e.g., Pandas, NumPy).
- Proficiency in SQL and experience working with various database systems.
- Deep understanding of statistical concepts, algorithms, and their practical application.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills, capable of explaining complex technical concepts to diverse audiences remotely.
- Ability to work independently, manage projects, and drive research initiatives from conception to completion.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for machine learning is beneficial.
AI Research Scientist - Machine Learning
Posted 20 days ago
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Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence
- Develop, implement, and optimize novel ML algorithms and deep learning models
- Analyze large and complex datasets to extract meaningful insights and drive model performance
- Design and execute experiments to validate research hypotheses
- Collaborate with cross-functional teams to integrate AI solutions into products and services
- Publish research findings in top-tier conferences and journals
- Develop and maintain robust, scalable, and efficient AI systems
- Stay abreast of the latest advancements in AI/ML research and industry trends
- Contribute to intellectual property development, including patents and white papers
- Mentor junior researchers and interns
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
- Minimum of 5 years of research experience in machine learning or AI
- Strong theoretical foundation in statistical modeling, deep learning, and reinforcement learning
- Proficiency in programming languages such as Python, Java, or C++
- Extensive experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras)
- Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP)
- Proven track record of publications in leading AI conferences and journals
- Excellent analytical, problem-solving, and critical thinking skills
- Strong communication and presentation skills, with the ability to explain complex concepts clearly
- Ability to work both independently and collaboratively in a team-oriented environment
Graduate Research Scientist - AI & Machine Learning
Posted 19 days ago
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Principal Research Scientist - AI & Machine Learning
Posted 20 days ago
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Principal Research Scientist - AI
Posted 5 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.
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Principal AI Research Scientist - Machine Learning
Posted 20 days ago
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AI Research Scientist - Computer Vision
Posted 20 days ago
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Responsibilities:
- Conduct in-depth research into state-of-the-art computer vision techniques, including object detection, image segmentation, facial recognition, and 3D vision.
- Design, implement, and train deep learning models for complex computer vision tasks.
- Develop and prototype new algorithms and approaches to solve challenging visual perception problems.
- Collaborate with a team of researchers and engineers to integrate AI models into real-world applications and products.
- Stay updated with the latest academic research and industry trends in AI and computer vision.
- Publish research findings in leading conferences and journals.
- Contribute to the development of proprietary AI technologies and intellectual property.
- Analyze and interpret experimental results, providing insights and recommendations for further development.
- Mentor junior researchers and engineers on computer vision topics.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field with a specialization in Computer Vision.
- Proven track record of research and development in computer vision, demonstrated through publications or project portfolios.
- Strong theoretical understanding and practical experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++, and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with large-scale datasets and distributed training environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- A genuine passion for AI and a drive to innovate.
Lead Research Scientist - AI & Machine Learning
Posted 2 days ago
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- Defining and executing a research roadmap in AI/ML.
- Leading and mentoring a team of research scientists and engineers.
- Developing novel AI algorithms and models for complex problems.
- Designing and conducting rigorous experiments to validate hypotheses.
- Analyzing large datasets to extract meaningful insights.
- Collaborating with product teams to integrate AI solutions into applications.
- Publishing research findings in leading academic conferences and journals.
- Staying abreast of the latest advancements in AI and ML research.
- Securing research grants and managing project budgets.
- Presenting research outcomes to technical and non-technical stakeholders.
- Ph.D. in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of research experience in AI/ML, with at least 3 years in a leadership role.
- Strong publication record in top-tier AI/ML venues.
- Deep theoretical understanding of deep learning, reinforcement learning, natural language processing, computer vision, etc.
- Proficiency in programming languages such as Python, R, or C++.
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Proven ability to lead and inspire a research team.
- Excellent communication, presentation, and interpersonal skills.
- Experience with cloud computing platforms (AWS, GCP, Azure).