940 Machine Learning Models jobs in Kenya
AI Research Engineer - Machine Learning Models
Posted 2 days ago
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Senior AI Research Scientist - Machine Learning Models
Posted 1 day ago
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Key Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, natural language processing, computer vision, or related AI fields.
- Design, develop, train, and evaluate advanced machine learning models.
- Implement and optimize AI algorithms for performance and scalability.
- Collaborate with engineering teams to deploy AI models into production environments.
- Stay abreast of the latest research papers, trends, and advancements in the AI/ML community.
- Contribute to intellectual property through publications, patents, and presentations.
- Mentor junior researchers and engineers, sharing knowledge and fostering innovation.
- Define research roadmaps and identify new areas for AI exploration and application.
- Analyze and interpret complex datasets to extract meaningful insights and inform model development.
- Develop novel approaches to address challenging AI problems and create intelligent solutions.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record.
- Expertise in one or more core AI/ML areas (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn.
- Experience with large-scale data processing and distributed computing frameworks.
- Strong understanding of mathematical and statistical concepts underlying AI algorithms.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work effectively in a collaborative, team-oriented research environment.
- Strong communication and presentation skills, with the ability to convey complex technical concepts clearly.
- Experience in deploying ML models in real-world applications is a plus.
Lead AI Research Scientist - Machine Learning Models
Posted 2 days ago
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Lead AI Research Scientist - Machine Learning Models
Posted 2 days ago
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Job Description
Responsibilities:
- Lead research projects focused on developing and enhancing advanced machine learning algorithms, including deep learning, reinforcement learning, and natural language processing.
- Design and implement complex AI models, optimize their performance, and ensure scalability for real-world applications.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate research outcomes into innovative products and services.
- Stay ahead of the curve by continuously exploring new research papers, attending conferences, and identifying emerging trends in AI.
- Mentor and guide junior researchers, fostering a collaborative and intellectually stimulating remote work environment.
- Publish research findings in leading academic venues and contribute to the intellectual property of the company.
- Develop robust experimental methodologies and conduct rigorous evaluations of AI models.
- Contribute to the strategic direction of AI research within the organization.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of relevant research experience, with a strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI).
- Proven expertise in deep learning frameworks (TensorFlow, PyTorch) and programming languages such as Python.
- Deep understanding of various machine learning paradigms and their applications.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
- Experience in leading research teams and managing research projects is highly desirable.
- Ability to work independently and effectively in a remote setting.
Senior AI Research Scientist - Machine Learning Models
Posted 2 days ago
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Job Description
Senior AI Research Scientist - Machine Learning Models
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, focusing on areas such as deep learning, machine learning, reinforcement learning, or natural language processing.
- Design, develop, and implement sophisticated AI and machine learning algorithms and models.
- Experiment with and evaluate various AI architectures and methodologies.
- Analyze large datasets to extract insights and train predictive models.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI research and apply them to solve real-world problems.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and contribute to a collaborative research environment.
- Present research findings to both technical and non-technical audiences.
- Contribute to the strategic direction of AI research within the organization.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of relevant research experience post-Ph.D., or equivalent industry experience.
- Demonstrated expertise in at least one core AI area (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proficiency in programming languages commonly used in AI research (e.g., Python, R, C++).
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of statistical modeling, data analysis, and algorithm design.
- Proven track record of research contributions, including publications in reputable venues.
- Excellent problem-solving skills and the ability to think creatively and analytically.
- Ability to work independently and manage complex research projects in a remote setting.
- Strong communication and collaboration skills.
Senior AI Research Scientist - Machine Learning Models
Posted 2 days ago
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Key Responsibilities:
- Conduct advanced research in machine learning, deep learning, and related AI fields.
- Develop, implement, and evaluate novel ML algorithms and models.
- Design and execute experiments to test hypotheses and validate research findings.
- Collaborate with other researchers and engineers to integrate AI models into applications.
- Stay abreast of the latest research and advancements in the field of artificial intelligence.
- Publish research findings in top-tier conferences and journals.
- Contribute to patent applications and intellectual property development.
- Mentor junior researchers and contribute to the team's technical growth.
- Analyze large datasets to extract insights and inform model development.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI/ML, with a strong publication record.
- Deep understanding of ML algorithms, statistical modeling, and optimization techniques.
- Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Expertise in programming languages such as Python, Java, or C++.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, adaptable to a remote work environment.
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Remote Senior AI Research Scientist - Machine Learning Models
Posted 2 days ago
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Responsibilities:
- Conduct advanced research in artificial intelligence and machine learning, focusing on developing novel algorithms and models.
- Design, implement, and validate machine learning models for complex problems.
- Stay current with the latest advancements in AI research and identify promising new research directions.
- Publish research findings in leading academic conferences and journals.
- Present research results to technical and non-technical audiences.
- Collaborate with other researchers and engineers on joint projects.
- Mentor junior researchers and interns.
- Develop and maintain high-quality, well-documented code for research experiments.
- Contribute to the intellectual property and strategic direction of the AI research group.
- Evaluate the performance and scalability of proposed AI solutions.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or a related quantitative field.
- A strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- 5+ years of research experience in machine learning, deep learning, NLP, computer vision, or reinforcement learning.
- Expertise in one or more deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python.
- Deep understanding of statistical modeling, optimization techniques, and algorithm design.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and drive research projects to completion in a remote setting.
- Strong written and verbal communication skills for effective collaboration and dissemination of research.
- Experience with large-scale data processing and distributed computing is a plus.
Lead AI Research Scientist - Remote Machine Learning Models
Posted 2 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 .
Lead AI Engineer - Deep Learning
Posted 1 day ago
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Key Responsibilities:
- Lead the research, design, and implementation of deep learning models.
- Develop and optimize algorithms for large-scale datasets.
- Mentor and guide junior AI/ML engineers.
- Oversee the entire ML model lifecycle, from experimentation to production.
- Collaborate with cross-functional teams to define AI requirements and solutions.
- Evaluate and integrate new AI technologies and methodologies.
- Ensure the performance, scalability, and reliability of AI systems.
- Contribute to publications and patents in the field of AI.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of hands-on experience in deep learning and AI development.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and scientific computing libraries (NumPy, Pandas).
- Strong understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with MLOps, cloud computing, and big data technologies.
- Excellent leadership, problem-solving, and communication skills.
- Demonstrated ability to lead technical projects in a remote setting.