292 Machine Learning Engineers jobs in Kenya
Principal AI Engineer - Deep Learning
30100 Moiben
KES6000000 Annually
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Job Description
Our client is seeking a highly innovative and experienced Principal AI Engineer specializing in Deep Learning to lead advanced research and development initiatives. This is a crucial, fully remote, full-time position for a visionary technologist who can architect, build, and deploy state-of-the-art machine learning models. You will be at the forefront of artificial intelligence, tackling complex problems and pushing the boundaries of what's possible in areas such as natural language processing, computer vision, or reinforcement learning. As a remote leader, you will guide a team of AI engineers and researchers, collaborate with product teams, and contribute significantly to the company's AI strategy, working effectively from your dedicated home office.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced deep learning models and algorithms for complex AI applications.
- Lead the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring.
- Architect robust and scalable AI systems, ensuring efficient integration with existing infrastructure.
- Conduct cutting-edge research into new AI techniques and methodologies, staying abreast of the latest academic and industry advancements.
- Mentor and guide junior AI engineers and data scientists, fostering technical growth and innovation.
- Collaborate with product managers and cross-functional teams to define AI requirements and translate business needs into technical solutions.
- Optimize model performance, efficiency, and scalability for production environments.
- Develop and maintain comprehensive documentation for AI models, systems, and research findings.
- Contribute to the company's intellectual property through patents and publications.
- Evaluate and select appropriate AI tools, frameworks, and technologies.
- Ensure the ethical development and deployment of AI systems, addressing bias and fairness concerns.
- Present technical strategies and research findings to both technical and non-technical audiences.
- Champion best practices in MLOps, code quality, and model reproducibility.
- Lead technical discussions and drive innovation in AI strategy and roadmap.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 8-10 years of hands-on experience in AI/ML engineering, with a strong focus on deep learning.
- Proven expertise in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers, GANs).
- Strong programming skills in Python, with experience in relevant libraries (NumPy, Pandas, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Demonstrated ability to conduct research and publish in top-tier AI conferences and journals.
- Excellent problem-solving, analytical, and critical thinking skills.
- Superior communication, leadership, and collaboration abilities, essential for a remote leadership role.
- Experience with large-scale data processing and distributed computing.
- Ability to work independently, manage priorities, and drive projects to completion in a remote setting.
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0
Lead AI Engineer - Deep Learning
40100 Kisumu
KES250000 Annually
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Posted 2 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a highly skilled and visionary Lead AI Engineer specializing in Deep Learning to join their groundbreaking team. This is a fully remote position, enabling you to contribute to cutting-edge projects from the comfort of your home office. You will be instrumental in designing, developing, and deploying advanced machine learning models that solve complex real-world problems. This role requires a deep understanding of neural networks, various deep learning frameworks, and a passion for pushing the boundaries of artificial intelligence.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of state-of-the-art deep learning models for applications such as natural language processing, computer vision, and predictive analytics.
- Architect scalable and efficient AI solutions, considering data pipelines, model training, deployment, and monitoring.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate business requirements into actionable AI strategies.
- Mentor and guide junior engineers, fostering a culture of learning and innovation within the AI team.
- Stay current with the latest research and advancements in deep learning and AI, evaluating and integrating new technologies where appropriate.
- Ensure the performance, scalability, and reliability of deployed AI models.
- Contribute to the development of intellectual property and research publications.
- Optimize AI models for performance and resource efficiency.
- Conduct rigorous testing and validation of AI systems.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
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1
Remote AI/ML Engineer - Deep Learning
50200 Homa Bay
KES200000 Annually
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Our client is at the forefront of innovation and is seeking a highly skilled and experienced Remote AI/ML Engineer specializing in Deep Learning. This fully remote role offers the exciting opportunity to contribute to cutting-edge AI projects from anywhere within or near Bungoma, Bungoma, KE . You will be responsible for designing, developing, and deploying advanced machine learning models, particularly focusing on deep learning architectures. The ideal candidate possesses a strong theoretical foundation in AI/ML, hands-on experience with relevant frameworks and tools, and a passion for solving complex problems through intelligent systems. You will collaborate with a talented team of researchers and engineers, pushing the boundaries of what's possible with artificial intelligence. This role demands exceptional problem-solving abilities, a deep understanding of mathematical concepts, and proficiency in programming languages commonly used in AI development.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for various applications.
- Conduct research and stay current with the latest advancements in AI, machine learning, and deep learning.
- Preprocess, clean, and analyze large datasets to train and evaluate ML models.
- Implement and optimize model performance, ensuring scalability and efficiency.
- Develop and maintain robust ML pipelines for deployment and monitoring.
- Collaborate with data scientists, software engineers, and domain experts to understand project requirements and translate them into ML solutions.
- Write clean, well-documented, and efficient code in Python and other relevant languages.
- Evaluate and select appropriate ML algorithms and frameworks (e.g., TensorFlow, PyTorch).
- Contribute to the development of AI-driven products and services.
- Present findings and technical concepts to both technical and non-technical audiences.
- Troubleshoot and debug ML systems and models.
Qualifications:
- Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven experience (4+ years) in developing and deploying deep learning models in a production environment.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn.
- Solid understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.) and their applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote teamwork.
- Ability to work independently and manage complex projects in a remote setting.
- Must be legally eligible to work in Kenya.
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2
Lead AI/ML Engineer - Deep Learning
90100 Mumbuni
KES250000 Annually
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Posted 1 day ago
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Job Description
Our client is seeking an exceptional Lead AI/ML Engineer with a specialization in Deep Learning to join our pioneering, fully remote research and development team. This is a transformative opportunity to architect, develop, and deploy cutting-edge AI solutions that push the boundaries of innovation. You will lead projects focused on complex deep learning models, including neural networks, reinforcement learning, and generative models, for applications across various industries. The ideal candidate will possess a profound understanding of machine learning algorithms, statistical modeling, and extensive hands-on experience with popular AI frameworks (TensorFlow, PyTorch). This is a remote-first role demanding a highly self-motivated individual with strong leadership qualities, excellent problem-solving skills, and the ability to mentor junior engineers. You will collaborate closely with data scientists, software engineers, and product managers in a virtual environment to translate research concepts into production-ready AI systems. We are looking for a visionary engineer passionate about the future of AI and eager to make a significant impact in a flexible, collaborative remote setting. If you are a leader in the AI/ML space ready to innovate and guide groundbreaking projects from your home office, we encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of advanced deep learning models.
- Architect and build scalable AI/ML systems for production environments.
- Conduct research and experimentation to identify and apply state-of-the-art AI techniques.
- Mentor and guide junior AI/ML engineers and data scientists.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Optimize model performance, efficiency, and scalability.
- Develop and maintain robust data pipelines for training and inference.
- Evaluate and select appropriate tools and technologies for AI development.
- Stay at the forefront of AI/ML research and industry trends.
- Present findings and project progress to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering, with a strong focus on Deep Learning.
- Proven expertise in developing and deploying deep learning models (CNNs, RNNs, Transformers, GANs).
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, Keras.
- Strong understanding of algorithms, data structures, and statistical modeling.
- Experience with big data technologies and distributed computing (e.g., Spark).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and communication abilities, suitable for managing remote teams.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- A portfolio of AI/ML projects or publications is highly regarded.
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3
Senior AI Research Engineer - Deep Learning
00200 Ruiru, Central
KES3500000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a highly motivated and innovative Senior AI Research Engineer specializing in Deep Learning to join their pioneering team. This is a fully remote position, offering the flexibility to work from anywhere. You will be at the forefront of developing next-generation artificial intelligence solutions, pushing the boundaries of what's possible. Your responsibilities will include designing, implementing, and deploying advanced machine learning models, particularly in areas such as natural language processing, computer vision, and reinforcement learning. You will conduct cutting-edge research, analyze large datasets, and collaborate with cross-functional teams to translate research findings into practical applications. The ideal candidate possesses a strong publication record in top-tier AI conferences or journals and has a proven track record of delivering impactful AI projects. You will mentor junior engineers, contribute to the technical roadmap, and stay abreast of the latest advancements in the field. This role requires a deep understanding of various deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python. Experience with cloud platforms (AWS, GCP, Azure) and distributed training is essential. The ability to communicate complex technical concepts clearly to both technical and non-technical audiences is paramount. We are looking for individuals with exceptional problem-solving skills, a passion for innovation, and a desire to make a significant impact in the AI space. If you thrive in a dynamic, collaborative, and research-intensive environment, this remote opportunity in Ruiru, Kiambu, KE is perfect for you. Join us in shaping the future of AI and contributing to groundbreaking innovations. Embrace a work environment that values intellectual curiosity, scientific rigor, and continuous learning. Your expertise will directly influence the direction of our AI initiatives and contribute to solving some of the world's most challenging problems.
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4
Senior AI Research Scientist - Deep Learning
20100 Mwembe
KES150000 Annually
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Job Description
Our client is at the forefront of innovation and is seeking a highly skilled and visionary Senior AI Research Scientist specializing in Deep Learning to join their fully remote research and development team. This role is critical for pushing the boundaries of artificial intelligence, contributing to groundbreaking projects, and developing next-generation AI solutions. You will be responsible for conceptualizing, designing, and implementing advanced deep learning models and algorithms, conducting rigorous experimentation, and publishing research findings. Your work will have a direct impact on shaping the future of AI applications across various industries.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in deep learning, machine learning, and artificial intelligence.
- Develop, train, and deploy sophisticated deep learning models (e.g., CNNs, RNNs, Transformers) for complex tasks such as natural language processing, computer vision, and predictive analytics.
- Design and execute experiments to evaluate model performance, identify areas for improvement, and validate research hypotheses.
- Analyze large datasets to extract meaningful insights and inform model development.
- Collaborate with software engineers to integrate AI models into production systems and applications.
- Stay abreast of the latest academic research and industry trends in AI and machine learning.
- Publish research findings in top-tier conferences and journals, and contribute to patent applications.
- Mentor junior researchers and contribute to the intellectual growth of the team.
- Present research results and technical insights to both technical and non-technical audiences.
- Contribute to the strategic direction of AI research initiatives within the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Minimum of 5 years of experience in AI research and development, with a strong focus on deep learning.
- Proven track record of publishing research in reputable AI venues.
- Expertise in one or more deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn).
- Deep understanding of various machine learning algorithms and statistical modeling techniques.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to work independently and collaboratively in a remote team environment.
- Exceptional communication and presentation skills.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
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5
Principal AI Research Scientist (Deep Learning)
00203 Abothuguchi West
KES180000 Annually
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Posted today
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Job Description
Our client is actively seeking a visionary Principal AI Research Scientist specializing in Deep Learning to join their pioneering, fully remote team. This senior role will drive cutting-edge research and development initiatives, pushing the boundaries of artificial intelligence to create transformative solutions. The ideal candidate will possess a strong theoretical foundation and practical experience in areas such as neural networks, machine learning, natural language processing, computer vision, and reinforcement learning. You will be responsible for conceptualizing, designing, and implementing novel AI algorithms and models, conducting rigorous experimentation, and publishing research findings in top-tier conferences and journals. This position requires leading research projects from inception to deployment, mentoring junior researchers, and collaborating with engineering teams to integrate AI models into production systems. As a fully remote scientist, you will engage actively in virtual scientific discussions, contribute to strategic research roadmaps, and maintain a strong network within the global AI research community. Proficiency in programming languages like Python and relevant AI frameworks (e.g., TensorFlow, PyTorch) is mandatory. A strong publication record and experience with large-scale datasets are highly valued. Our client fosters an environment of intellectual curiosity, innovation, and scientific rigor. This is an unparalleled opportunity to work on challenging problems with significant real-world impact, alongside some of the brightest minds in AI, all from a remote location. The successful candidate must hold a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with at least 8 years of post-graduate research experience in deep learning and AI. Proven leadership in research projects and a track record of significant contributions to the field are essential. Our client operates with a global mindset, supporting remote work for its exceptional team, with a functional presence connected to the Ongata Rongai, Kajiado, KE area. If you are driven by scientific discovery and eager to shape the future of AI, we encourage you to apply.
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6
Senior AI Research Scientist - Deep Learning
00202 Abothuguchi West
KES7500000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a pioneering force in artificial intelligence, is seeking a highly motivated and experienced Senior AI Research Scientist to join their dynamic team. This role is pivotal in driving innovation and advancing the state-of-the-art in deep learning and machine learning. You will be instrumental in designing, developing, and deploying cutting-edge AI models and algorithms that solve complex real-world problems. The position is based in Ongata Rongai, Kajiado, KE , with a hybrid work arrangement that balances collaborative office days with the flexibility of remote work.
Key Responsibilities:
Qualifications:
This is an exceptional opportunity to work on challenging problems with a talented team, make a significant impact, and contribute to the future of artificial intelligence. Our client offers a competitive salary, comprehensive benefits package, and a stimulating work environment.
Key Responsibilities:
- Conduct advanced research in deep learning, machine learning, and related AI fields.
- Design, implement, and evaluate novel AI models and algorithms.
- Collaborate with cross-functional teams, including engineers and product managers, to integrate AI solutions into products and services.
- Stay abreast of the latest research and industry trends in AI.
- Mentor junior researchers and engineers, fostering a culture of learning and innovation.
- Publish research findings in top-tier AI conferences and journals.
- Contribute to the strategic direction of the company's AI initiatives.
- Ensure the ethical and responsible development and deployment of AI technologies.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and development in deep learning, with significant contributions to published papers or open-source projects.
- Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed systems is a plus.
- Previous experience in leading research projects is highly desirable.
This is an exceptional opportunity to work on challenging problems with a talented team, make a significant impact, and contribute to the future of artificial intelligence. Our client offers a competitive salary, comprehensive benefits package, and a stimulating work environment.
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7
Remote AI Research Scientist - Deep Learning
30200 Moiben
KES300000 month
WhatJobs
Posted 1 day ago
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Job Description
Our client is seeking a highly innovative and experienced Remote AI Research Scientist specializing in Deep Learning to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements in artificial intelligence. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with significant research experience. You will be responsible for conceptualizing, designing, and implementing novel deep learning models and algorithms to solve complex problems across various domains. This includes conducting theoretical research, developing prototypes, running experiments, and analyzing results to push the boundaries of AI capabilities. Your work will involve areas such as natural language processing, computer vision, reinforcement learning, or generative models, depending on project needs and your expertise. You will stay abreast of the latest academic research and industry trends, publishing findings in top-tier conferences and journals where appropriate. Collaboration with other researchers, engineers, and product teams is crucial for translating research into practical applications. Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Keras is essential, along with strong programming skills in Python. Experience with large-scale datasets and distributed computing environments is highly valued. This role demands exceptional problem-solving skills, creativity, and a strong theoretical foundation in machine learning and mathematics. The ability to communicate complex technical concepts clearly and effectively, both in writing and verbally, is critical for success in this remote, collaborative environment.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Design, develop, and implement novel AI algorithms and models.
- Explore and apply advanced machine learning techniques to real-world problems.
- Analyze large datasets and extract meaningful insights.
- Implement and test AI models using deep learning frameworks.
- Publish research findings in academic journals and conferences.
- Collaborate with engineers to integrate AI models into products.
- Stay current with the latest research and industry advancements.
- Mentor junior researchers and engineers.
- Contribute to the overall AI strategy and vision.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Minimum of 5 years of research experience in AI/ML, with a focus on deep learning.
- Proven track record of publications in reputable AI conferences/journals.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong programming skills in Python and proficiency with ML libraries.
- Deep understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with large-scale data processing and distributed systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication abilities for remote collaboration.
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8
Lead AI Research Scientist - Deep Learning
20200 Kapsuser
KES250000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is a cutting-edge scientific research and development firm seeking a visionary Lead AI Research Scientist specializing in Deep Learning to join their globally distributed, remote-first team. This pivotal role involves pioneering advancements in artificial intelligence, driving innovative research projects, and translating complex theoretical concepts into practical, real-world applications. You will be at the forefront of AI development, exploring novel algorithms, architectures, and methodologies to solve some of the most challenging problems in the field.
The successful candidate will lead a team of talented researchers and engineers, fostering a collaborative and intellectually stimulating environment. Your responsibilities will extend to defining research roadmaps, securing funding through grant proposals, and publishing findings in top-tier academic journals and conferences. A strong publication record and a passion for pushing the boundaries of AI are essential. You will work with vast datasets, utilizing state-of-the-art computing infrastructure to train and validate complex models. Collaboration with cross-functional teams, including product development and engineering, will be key to ensuring the successful integration of research outcomes into tangible solutions.
Key Responsibilities:
The successful candidate will lead a team of talented researchers and engineers, fostering a collaborative and intellectually stimulating environment. Your responsibilities will extend to defining research roadmaps, securing funding through grant proposals, and publishing findings in top-tier academic journals and conferences. A strong publication record and a passion for pushing the boundaries of AI are essential. You will work with vast datasets, utilizing state-of-the-art computing infrastructure to train and validate complex models. Collaboration with cross-functional teams, including product development and engineering, will be key to ensuring the successful integration of research outcomes into tangible solutions.
Key Responsibilities:
- Initiate, design, and lead advanced research projects in deep learning, machine learning, and related AI domains.
- Develop novel algorithms, models, and frameworks to address complex scientific and engineering challenges.
- Mentor and guide junior researchers and engineers, fostering their professional growth.
- Publish research findings in leading peer-reviewed journals and present at international conferences.
- Collaborate with stakeholders to define research objectives and align them with strategic business goals.
- Develop and maintain strong relationships with academic institutions and research communities.
- Secure research funding through competitive grant applications.
- Evaluate and integrate new technologies and methodologies into the research pipeline.
- Contribute to the intellectual property portfolio of the organization through patents and disclosures.
- 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 significant focus on deep learning.
- Proven track record of impactful research, evidenced by high-quality publications and citations.
- Expertise in one or more deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant scientific libraries.
- Demonstrated leadership experience, with the ability to manage and motivate a research team.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments is a plus.
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