2,521 Junior Data Scientist Machine Learning jobs in Kenya
AI Research Scientist (Computer Vision)
Posted 20 days ago
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Responsibilities:
- Conduct cutting-edge research in computer vision and deep learning.
- Develop and implement novel algorithms and models for image and video analysis.
- Design and execute experiments, analyze results, and document findings.
- Collaborate with a team of researchers and engineers on challenging AI projects.
- Publish research findings in leading academic conferences and journals.
- Stay abreast of the latest advancements in AI and computer vision.
- Contribute to the development of AI products and solutions.
- Optimize model performance and efficiency for real-world applications.
- Work with large datasets and utilize distributed computing resources.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, AI, or a related field with a specialization in Computer Vision.
- Proven track record of research publications in top AI venues.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong programming skills in Python.
- Proficiency with computer vision libraries (OpenCV).
- Experience with data preprocessing, model training, and evaluation.
- Solid understanding of mathematical concepts underlying machine learning and computer vision.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, adapted for a remote environment.
Lead AI Research Scientist - Computer Vision
Posted 20 days ago
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Principal AI Research Scientist - Computer Vision
Posted 20 days ago
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As a Principal Scientist, you will lead ambitious research projects from conception to completion, including formulating research questions, designing experiments, implementing novel algorithms, and rigorously evaluating their performance. You will be expected to publish your findings in top-tier AI conferences and journals, contributing significantly to the scientific community. Collaboration is key; you will work closely with a world-class team of AI researchers, engineers, and product managers, sharing knowledge and fostering a culture of scientific excellence. A deep theoretical understanding of deep learning, convolutional neural networks (CNNs), transformers, and related architectures is essential, alongside extensive practical experience in developing and deploying large-scale computer vision systems.
The ideal candidate will have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record in leading computer vision venues. You should possess exceptional programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. Expertise in areas like self-supervised learning, few-shot learning, or adversarial attacks in computer vision is highly desirable. You must be a self-starter, capable of working independently in a remote setting, with excellent analytical, problem-solving, and communication skills. The ability to mentor junior researchers and guide research direction will be a significant asset.
Key responsibilities include:
- Leading cutting-edge research in computer vision and deep learning.
- Developing novel algorithms for image analysis, object recognition, and scene understanding.
- Designing and implementing large-scale AI models for computer vision tasks.
- Publishing research findings in top-tier conferences and journals.
- Collaborating with cross-functional teams to translate research into impactful products.
- Mentoring and guiding junior research scientists.
- Staying abreast of the latest advancements in AI and computer vision.
- Contributing to the intellectual property and strategic direction of the company.
Lead AI Research Scientist - Deep Learning
Posted 20 days ago
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Principal AI Research Scientist - Deep Learning
Posted 20 days ago
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Principal Research Scientist - AI
Posted 6 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.
Senior AI Research Scientist (Deep Learning)
Posted 20 days ago
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Responsibilities:
- Conduct in-depth research into advanced deep learning techniques, including but not limited to, convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and generative adversarial networks (GANs).
- Develop and prototype novel AI algorithms and models, rigorously testing their performance and efficiency.
- Collaborate closely with cross-functional teams, including software engineers and data scientists, to integrate AI solutions into production environments.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for application within the company's strategic goals.
- Publish research findings in top-tier conferences and journals, representing the company's thought leadership in AI.
- Mentor junior researchers and contribute to a culture of continuous learning and knowledge sharing.
- Design and execute experiments to validate AI models, analyzing results and iterating for improvement.
- Work with large datasets, ensuring data quality, pre-processing, and feature engineering for optimal model training.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant contributions to the field of deep learning, demonstrated through publications, patents, or open-source projects.
- Expertise in programming languages such as Python, and proficiency with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of linear algebra, calculus, probability, and statistics.
- Experience with cloud platforms (AWS, Azure, GCP) for AI model development and deployment.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
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Principal Research Scientist - AI in Genomics
Posted 20 days ago
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Responsibilities:
- Lead and conduct cutting-edge research in AI applied to genomics and related biological fields.
- Develop and implement novel machine learning algorithms and statistical models for analyzing large-scale genomic datasets.
- Design and execute experiments, interpret results, and translate findings into biological insights and actionable strategies.
- Spearhead the development of predictive models for disease genomics, drug discovery, and personalized therapeutics.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Mentor and guide a team of research scientists and bioinformaticians.
- Collaborate with internal teams and external academic/industry partners to drive research initiatives.
- Identify and pursue new research opportunities and funding avenues (e.g., grants).
- Contribute to the strategic direction of the company's research and development efforts.
- Stay abreast of the latest advancements in AI, machine learning, genomics, and computational biology.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science (with AI/ML focus), Genetics, or a related quantitative field.
- 10+ years of post-doctoral research experience in genomics, bioinformatics, and AI/ML.
- Demonstrated expertise in applying machine learning and deep learning techniques to biological data.
- Strong understanding of human genetics, molecular biology, and genomics data analysis pipelines.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and R.
- Experience with high-performance computing environments and cloud platforms.
- Proven track record of impactful publications and presentations in the field.
- Excellent leadership, communication, and interpersonal skills for effective remote collaboration.
- Experience in grant writing is a significant advantage.
- Strategic thinker with a passion for scientific discovery.
Remote AI Research Scientist - Computer Vision
Posted 20 days ago
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Senior 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 and methodologies.
- Develop and implement novel algorithms and models for various computer vision tasks, ensuring scalability and efficiency.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into existing products and platforms.
- Design and execute experiments to evaluate model performance, troubleshoot issues, and iterate on solutions.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision through continuous learning and literature review.
- Mentor junior researchers and engineers, fostering a collaborative and knowledge-sharing environment.
- Contribute to research publications, patents, and internal technical documentation.
- Work effectively within a distributed team, utilizing collaborative tools and maintaining clear communication.
- Ensure all research and development adheres to ethical AI principles and data privacy standards.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research and development in computer vision, with demonstrable experience in one or more sub-fields (e.g., deep learning, convolutional neural networks, transformers).
- Strong proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Experience with large-scale datasets and distributed training techniques.
- Excellent problem-solving and analytical skills, with a creative approach to challenges.
- Strong communication and interpersonal skills, capable of explaining complex technical concepts to diverse audiences.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
- Published research in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) is highly desirable.