6,659 Senior Remote AI Research Scientist Machine Learning jobs in Kenya
Senior AI Research Scientist - Remote Deep Learning
Posted 3 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking a brilliant Senior AI Research Scientist to join their world-class, fully remote research division. You will play a pivotal role in pushing the boundaries of artificial intelligence, focusing on developing and implementing novel deep learning models. Your work will contribute to groundbreaking projects that have the potential to reshape industries. This role requires a deep theoretical understanding of AI and machine learning, coupled with practical experience in developing and deploying complex models.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct fundamental and applied research in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design, develop, and implement state-of-the-art AI algorithms and models.
- Collaborate with a global team of researchers and engineers to translate research findings into practical applications.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of intellectual property and patents.
- Stay abreast of the latest advancements in AI and machine learning research.
- Mentor junior researchers and contribute to the scientific culture of the team.
- Develop and maintain robust research infrastructure and tools.
- Evaluate and benchmark model performance rigorously.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of post-academic research experience in AI/ML.
- Proven track record of significant contributions to the AI research community (publications, patents, open-source contributions).
- Deep expertise in at least one major area of AI/ML (e.g., deep learning frameworks like TensorFlow/PyTorch, NLP, computer vision).
- Strong programming skills in Python and experience with scientific computing libraries.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Ability to work independently, manage research projects, and collaborate effectively in a remote team environment.
- Exceptional communication skills to articulate complex technical concepts.
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Principal AI Research Scientist - Remote Machine Learning
Posted 22 days ago
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Job Description
Our client is seeking a distinguished Principal AI Research Scientist to spearhead their cutting-edge research initiatives in Artificial Intelligence and Machine Learning. This is a fully remote position for an individual passionate about pushing the boundaries of AI. You will be instrumental in conceptualizing, designing, and implementing novel AI algorithms and models that address complex real-world challenges. Your work will involve extensive experimentation, data analysis, and the development of robust AI systems. The ideal candidate possesses a Ph.D. or equivalent in Computer Science, Artificial Intelligence, Machine Learning, or a related field, coupled with a significant publication record in top-tier AI conferences and journals. You should have profound expertise in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or related subfields. This role requires strong programming skills, proficiency in languages like Python, and extensive experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar. You will collaborate with a world-class team of researchers and engineers, contributing to the strategic direction of our AI roadmap. The ability to independently drive research projects from inception to completion, effectively communicate complex technical concepts to both technical and non-technical audiences, and mentor junior researchers is paramount. This position offers unparalleled opportunities to work on transformative AI projects, publish groundbreaking research, and make a significant impact on the future of technology, all within a highly collaborative remote environment. You will be expected to stay abreast of the latest advancements in AI and translate them into practical applications. Problem-solving skills, creativity, and a passion for discovery are essential. The designated role location, referencing Thika, Kiambu, KE , operates entirely remotely.
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Lead AI Research Scientist - Remote Machine Learning Models
Posted 22 days ago
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Job Description
Our client is seeking an exceptional Lead AI Research Scientist to spearhead cutting-edge research and development in the field of Artificial Intelligence and Machine Learning. This is a fully remote position for a visionary individual who can conceptualize, design, and implement novel AI models and algorithms. You will be at the forefront of innovation, pushing the boundaries of what's possible in areas such as deep learning, natural language processing, computer vision, and predictive analytics. Your work will involve theoretical research, practical implementation, and the validation of advanced AI solutions that drive significant business value.
Key Responsibilities:
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 .
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Senior AI Research Scientist - Remote Machine Learning
Posted 3 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI and emerging technologies, is seeking a brilliant and innovative Senior AI Research Scientist to join their fully remote R&D team. This position offers the unparalleled opportunity to push the boundaries of artificial intelligence, working on complex problems and developing next-generation AI solutions from your chosen location in Kenya. You will play a key role in driving research, development, and implementation of advanced machine learning models and algorithms.
Responsibilities:
Responsibilities:
- Conduct groundbreaking research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or other AI subfields.
- Design, develop, and implement novel AI algorithms and models to address complex challenges and create innovative solutions.
- Collaborate with a team of world-class researchers and engineers to explore new ideas and translate research findings into practical applications.
- Publish research findings in top-tier academic conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility and impact of new AI technologies.
- Stay at the forefront of AI research by continuously reading relevant literature, attending conferences, and engaging with the research community.
- Contribute to the development of open-source AI tools and frameworks.
- Mentor junior researchers and engineers, fostering a culture of scientific inquiry and technical excellence.
- Analyze and interpret large datasets to train and evaluate AI models.
- Ensure the ethical and responsible development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on research experience in AI and Machine Learning, with a strong publication record.
- Deep expertise in one or more AI subfields (e.g., NLP, CV, RL, deep learning frameworks like TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn).
- Strong theoretical understanding of machine learning principles and algorithms.
- Experience with large-scale data analysis and distributed computing environments.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Proven ability to work independently and collaboratively in a fully remote, fast-paced research environment.
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Senior AI Research Scientist - Remote Machine Learning Innovation
Posted 22 days ago
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Job Description
Our client is looking for an innovative and experienced Senior AI Research Scientist to join their cutting-edge remote team. This role is at the forefront of artificial intelligence and machine learning, focusing on developing novel algorithms and solutions. As a fully remote scientist, you will conduct advanced research, experiment with new AI techniques, and contribute to the development of intelligent systems that address complex challenges. Your responsibilities will include designing and implementing machine learning models, analyzing large datasets, evaluating research findings, and collaborating with engineers to integrate AI solutions into production environments. 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 a strong publication record. Expertise in areas such as deep learning, natural language processing (NLP), computer vision, and reinforcement learning is highly desirable. Proficiency in programming languages like Python and R, along with experience in ML frameworks (e.g., TensorFlow, PyTorch), is essential. You must have excellent analytical skills, a strong theoretical foundation in AI, and the ability to think creatively and solve challenging research problems independently within a remote setting. This is an exceptional opportunity to push the boundaries of AI and contribute to groundbreaking innovations in a flexible, remote work environment. Join our client's pioneering research division and help shape the future of artificial intelligence.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence and machine learning.
- Develop and implement novel algorithms and models for various AI applications.
- Analyze large and complex datasets to extract meaningful insights and train models.
- Stay up-to-date with the latest advancements and research in the field of AI and ML.
- Collaborate with engineering teams to deploy and integrate AI models into production systems.
- Design and conduct experiments to validate research hypotheses and model performance.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the overall AI strategy and roadmap of the organization.
- Mentor junior researchers and provide technical guidance.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research accomplishments, evidenced by publications in leading conferences and journals.
- Extensive experience with machine learning algorithms, statistical modeling, and data mining techniques.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python and experience with relevant libraries (e.g., scikit-learn, Pandas, NumPy).
- Strong understanding of areas like NLP, computer vision, or reinforcement learning.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and as part of a collaborative remote research team.
- Strong communication and presentation skills.
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4
Remote AI Research Scientist - Computer Vision
Posted 2 days ago
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Job Description
Our client, a pioneering firm at the forefront of Artificial Intelligence and Emerging Technologies, is seeking a highly innovative and driven Remote AI Research Scientist specializing in Computer Vision. This fully remote role offers a unique opportunity to contribute to groundbreaking research and development in cutting-edge AI applications. You will be instrumental in conceptualizing, developing, and implementing novel computer vision algorithms and models. Your work will focus on areas such as object detection, image segmentation, facial recognition, and scene understanding, pushing the boundaries of what's possible. The ideal candidate possesses a PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. You should have extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and a solid understanding of classical computer vision techniques. This position requires exceptional analytical skills, creativity, and the ability to work independently and collaboratively within a global, remote research team. You will be expected to stay abreast of the latest advancements in AI and computer vision, and to translate research findings into practical, impactful solutions.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct cutting-edge research in computer vision, developing new algorithms and models.
- Implement and optimize deep learning models for image and video analysis tasks.
- Design and execute experiments to evaluate model performance and identify areas for improvement.
- Collaborate with other researchers and engineers to integrate AI solutions into products and services.
- Publish research findings in leading AI conferences and journals.
- Explore and implement state-of-the-art techniques in areas such as object recognition, tracking, and generative models.
- Develop and maintain robust codebases for research and development.
- Stay current with the latest research trends and advancements in computer vision and deep learning.
- Mentor junior researchers and contribute to the team's intellectual property development.
- Present research results and technical insights to internal teams and external audiences.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.
- Proven track record of research excellence with publications in top AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Deep understanding of fundamental computer vision concepts and algorithms.
- Experience with large-scale datasets and distributed training environments is a plus.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Outstanding communication and presentation skills for conveying complex technical concepts.
- Ability to work autonomously and drive research initiatives in a remote setting.
- Passion for innovation and a proactive approach to problem-solving.
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Remote AI Research Scientist - Machine Learning
Posted 22 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a brilliant and driven Remote AI Research Scientist specializing in Machine Learning to join their pioneering team. This fully remote position offers an unparalleled opportunity to conduct cutting-edge research and develop novel AI solutions that push the boundaries of technology. You will be instrumental in designing, implementing, and evaluating advanced machine learning models for a variety of applications. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field, coupled with a strong publication record in top-tier AI conferences or journals. Your expertise should encompass deep learning frameworks (e.g., TensorFlow, PyTorch), various ML algorithms, and proficiency in programming languages such as Python. As a remote researcher, you will collaborate with a globally distributed team of experts, utilizing collaborative coding environments, high-performance computing resources, and sophisticated communication tools. Your responsibilities will include formulating research hypotheses, designing experiments, analyzing large datasets, and disseminating findings through technical reports and presentations. We are looking for a creative, self-motivated individual with exceptional problem-solving skills and a passion for scientific discovery. This remote role provides the chance to shape the future of AI and its applications, impacting diverse industries from your home office, supporting R&D efforts relevant to **Mombasa, Mombasa, KE** and global technological advancements. The successful candidate will be a thought leader, capable of independently driving research initiatives and contributing innovative ideas to complex AI challenges. Your contributions will be vital in advancing our client's AI capabilities and developing next-generation intelligent systems.
Responsibilities:
Responsibilities:
- Conduct original research in machine learning, deep learning, and related AI fields.
- Develop and implement novel algorithms and models for AI applications.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large-scale datasets to extract meaningful insights and inform model development.
- Collaborate with other researchers and engineers on joint projects in a virtual setting.
- Publish research findings in leading AI conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the strategic direction of AI research and development efforts.
- Mentor junior researchers and contribute to building a strong research culture.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of research publications in reputable AI conferences and journals.
- Deep expertise in machine learning algorithms, statistical modeling, and deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills, particularly in Python, with experience in relevant libraries (NumPy, SciPy, Pandas).
- Experience with big data technologies and cloud computing platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, comfortable working in a remote, distributed team.
- Ability to work independently, manage research projects, and drive innovation.
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6
Lead Data Scientist - Remote Machine Learning
Posted 12 days ago
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Job Description
Our client, a pioneering organization in scientific research and development, is seeking an accomplished Lead Data Scientist to drive their machine learning initiatives. This is a fully remote position, offering the chance to work on groundbreaking projects from anywhere. You will be responsible for leading the design, development, and implementation of advanced machine learning models and algorithms to solve complex scientific problems. This includes exploring new datasets, identifying patterns, and building predictive models that can accelerate research and discovery. You will mentor a team of data scientists and engineers, providing technical guidance and fostering a collaborative environment. Key responsibilities involve defining research objectives, selecting appropriate methodologies, and translating research findings into actionable insights and innovative solutions. You will work closely with domain experts, researchers, and software engineers to integrate data-driven solutions into existing platforms and workflows. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, with a minimum of 8 years of experience in data science and machine learning, including significant leadership experience. Proven expertise in various machine learning techniques (e.g., deep learning, reinforcement learning, NLP) and a strong command of programming languages such as Python or R are essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Exceptional analytical, problem-solving, and critical-thinking skills are paramount. You must possess outstanding communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. The capacity to lead and inspire a remote team, manage multiple projects, and contribute to strategic research direction is crucial. This role offers an unparalleled opportunity to shape the future of scientific discovery through cutting-edge data science. Responsibilities:
- Lead the development and deployment of advanced machine learning models.
- Mentor and guide a team of data scientists and engineers.
- Define research questions and select appropriate methodologies.
- Explore and analyze large, complex datasets.
- Build predictive models and algorithms for scientific applications.
- Collaborate with domain experts and cross-functional teams.
- Translate research findings into practical solutions and insights.
- Contribute to the strategic direction of research and development.
- Ensure the scalability and robustness of deployed models.
- Present findings and recommendations to stakeholders.
- Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Physics).
- 8+ years of experience in data science and machine learning, with leadership experience.
- Expertise in deep learning, NLP, reinforcement learning, and other ML techniques.
- Proficiency in Python or R and associated ML libraries.
- Experience with big data technologies and cloud platforms.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills.
- Proven ability to lead and manage a remote technical team.
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7
Remote AI Data Scientist - Deep Learning Specialist
Posted 22 days ago
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Job Description
Our client is at the forefront of developing advanced AI solutions and is seeking a highly skilled and motivated Remote AI Data Scientist specializing in Deep Learning. This is a critical, fully remote position focused on designing, developing, and deploying sophisticated deep learning models to tackle complex challenges across various industries. As a remote team member, you will collaborate closely with AI researchers, software engineers, and product managers located globally. Your primary responsibilities will include data acquisition, preprocessing, feature engineering, and model selection for deep learning tasks. You will be responsible for architecting, training, and evaluating deep neural networks, including CNNs, RNNs, LSTMs, and Transformers, using large-scale datasets. A significant part of your role will involve experimenting with cutting-edge deep learning techniques, optimizing model performance, and ensuring scalability and efficiency. You will also contribute to the deployment of models into production environments and their ongoing monitoring and maintenance. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with practical experience in implementing these techniques to solve real-world problems. Expertise in Python and relevant deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. You should have a proven track record of delivering impactful AI solutions and possess excellent analytical, problem-solving, and communication skills. The ability to work independently, manage multiple complex projects, and collaborate effectively in a distributed team is crucial. If you are passionate about pushing the boundaries of artificial intelligence and thrive in a remote, innovative work environment, this is an exceptional opportunity.
Responsibilities:
Responsibilities:
- Design, develop, and implement deep learning models.
- Conduct research on state-of-the-art deep learning algorithms.
- Process and analyze large datasets for model training.
- Optimize model performance for accuracy, speed, and scalability.
- Collaborate with engineering teams for model deployment and integration.
- Evaluate and interpret model results, providing actionable insights.
- Stay current with advancements in AI and deep learning research.
- Document model architectures, methodologies, and experimental results.
- Contribute to the team's knowledge base and best practices.
- Troubleshoot and resolve issues related to model performance in production.
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Proven experience in developing and deploying deep learning models.
- Expertise in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms and statistical modeling.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote setting.
- Ability to work independently and manage project timelines effectively.
- Publications in relevant AI/ML conferences or journals are a strong plus.
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8
Senior Data Scientist, Remote AI Applications
Posted 16 days ago
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Job Description
Our client, a leader in AI and cutting-edge technology development, is actively recruiting a Senior Data Scientist to join their fully remote, highly collaborative team. This role is pivotal in leveraging advanced analytics and machine learning to build innovative AI-powered products and solutions. The successful candidate will be responsible for the entire data science lifecycle, from data acquisition and preprocessing to model development, validation, and deployment. You will tackle complex business problems by extracting actionable insights from large datasets, designing and implementing sophisticated predictive models, and contributing to the development of next-generation AI applications. Key responsibilities include exploring data to uncover trends, feature engineering, selecting appropriate algorithms, and evaluating model performance. The ideal candidate will possess a strong foundation in statistics, mathematics, and computer science, with extensive hands-on experience in machine learning and deep learning techniques. This fully remote position requires excellent problem-solving abilities, a keen eye for detail, and the capacity to communicate intricate findings clearly and concisely to diverse audiences. You will work alongside AI researchers, software engineers, and product managers to bring AI concepts to life. We are looking for a self-driven individual who can independently manage projects, drive research initiatives, and contribute significantly to our company's technological advancements. This is a prime opportunity to work on challenging AI problems and make a tangible impact in the rapidly evolving field of artificial intelligence from a remote location.
Responsibilities:
Responsibilities:
- Develop, train, and deploy machine learning and deep learning models.
- Perform exploratory data analysis to identify patterns and insights.
- Clean, transform, and prepare large datasets for analysis and modeling.
- Design and implement feature engineering techniques.
- Evaluate and select appropriate statistical and machine learning algorithms.
- Validate model performance and iterate on improvements.
- Translate complex analytical findings into actionable business recommendations.
- Collaborate with engineers to integrate models into production systems.
- Stay current with the latest research and advancements in data science and AI.
- Mentor junior data scientists and contribute to knowledge sharing.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience as a Data Scientist or in a related analytical role.
- Proven expertise in machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Strong understanding of data manipulation, visualization, and storytelling.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and presentation abilities for remote collaboration.
- Ability to work independently and manage multiple projects effectively.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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