What Jobs are available for Data Science Teams in Kenya?
Showing 2377 Data Science Teams jobs in Kenya
AI Research Engineer - Machine Learning Optimization
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Key Responsibilities:
- Conduct fundamental research in machine learning, focusing on algorithm design and optimization.
- Develop and implement novel deep learning models and optimization techniques.
- Analyze and interpret experimental results, identifying areas for improvement.
- Benchmark and evaluate the performance of AI models on large-scale datasets.
- Collaborate with a remote team of researchers and engineers to advance AI capabilities.
- Optimize ML models for deployment on various platforms, considering computational constraints.
- Stay abreast of the latest research and trends in AI and machine learning.
- Contribute to technical documentation, research papers, and conference presentations.
- Prototype and test new AI solutions, assessing their feasibility and impact.
- Participate in code reviews and knowledge sharing sessions within the research team.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong theoretical foundation in machine learning, statistical modeling, and optimization.
- Proven experience in developing and implementing deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities for technical documentation and presentations.
- Ability to work independently and effectively in a remote team environment.
- Demonstrated experience with published research or contributions to open-source AI projects is highly desirable.
- Familiarity with cloud platforms (AWS, GCP, Azure) for ML workloads.
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Senior AI Research Engineer - Machine Learning
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Responsibilities:
- Conduct research and development in machine learning, deep learning, and artificial intelligence.
- Design, build, and train sophisticated AI models and algorithms for various applications.
- Implement and optimize ML pipelines for data preprocessing, model training, and deployment.
- Evaluate model performance, identify areas for improvement, and implement necessary optimizations.
- Stay abreast of the latest advancements in AI research and emerging technologies.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and platforms.
- Author technical documentation, research papers, and present findings to technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth.
- Develop prototypes and proof-of-concepts for novel AI applications.
- Ensure the ethical and responsible development and deployment of AI systems.
This position is based remotely, with the core operational hub near Malindi, Kilifi, KE . We are looking for a passionate, forward-thinking engineer who thrives on solving complex problems with AI. If you are eager to contribute to the next wave of AI innovation, we encourage you to apply.
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Principal AI Research Engineer - Computer Vision
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Senior AI Research Engineer - Machine Learning Platforms
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Responsibilities:
- Conduct research and development on advanced machine learning and deep learning algorithms.
- Design, build, and deploy scalable ML models and platforms.
- Optimize the performance and efficiency of AI systems.
- Analyze large, complex datasets to extract meaningful insights and drive model improvements.
- Develop and implement novel approaches to solve challenging AI problems.
- Collaborate with other engineers and researchers in a remote team environment.
- Stay current with the latest research and advancements in AI and machine learning.
- Contribute to the development of AI infrastructure and tooling.
- Document research findings, methodologies, and code.
- Present research results and technical proposals to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in AI research and development, with a focus on machine learning.
- Proven experience in developing and deploying deep learning models using frameworks like TensorFlow or PyTorch.
- Strong programming skills in Python and experience with relevant libraries (NumPy, Pandas, Scikit-learn).
- Familiarity with big data technologies (e.g., Spark) and cloud platforms (AWS, Azure, GCP).
- Excellent understanding of statistical modeling, data mining, and algorithm design.
- Strong analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and collaboration skills for a remote work setting.
- Demonstrated ability to work independently and drive research projects forward.
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Machine Learning Engineer - AI Research
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Senior AI Research Engineer - Machine Learning (Remote)
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Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and related AI fields.
- Design, develop, and optimize novel ML algorithms and models for complex problems.
- Implement and deploy AI solutions into production environments, ensuring scalability, efficiency, and robustness.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate AI capabilities into various applications.
- Analyze large datasets to extract insights, train models, and evaluate performance.
- Stay abreast of the latest advancements in AI research and translate them into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
- Develop prototypes and proof-of-concepts for new AI-driven features and products.
- Contribute to the strategic direction of AI research within the organization.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of experience in applied AI research and development, with a strong focus on machine learning.
- Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and classical ML algorithms.
- Proficiency in programming languages such as Python, C++, or Java.
- Strong understanding of statistical modeling, data mining, and algorithm design.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong publication record or significant contributions to open-source AI projects.
- Effective communication and collaboration skills, with the ability to work productively in a remote team environment.
- Experience working with large-scale datasets and distributed computing.
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Principal Machine Learning Engineer - AI Research
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Principal AI Research Scientist - Deep Learning for Computer Vision
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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.
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Senior Machine Learning Engineer - AI Research
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Machine Learning Engineer - AI Research - Remote
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