2,330 Remote AI Ml Engineer Deep Learning Specialist jobs in Kenya
Remote AI Research Scientist - Machine Learning
Posted 20 days ago
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The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field. Proven experience in developing and deploying machine learning models, particularly in areas like deep learning, natural language processing, computer vision, or reinforcement learning, is mandatory. Expertise in programming languages such as Python, along with proficiency in ML frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. Strong analytical and problem-solving skills, excellent mathematical understanding, and superior communication abilities for effective virtual collaboration are crucial. This role offers the unique opportunity to conduct groundbreaking AI research and development from anywhere in the world, contributing to transformative technologies. We are seeking a visionary scientist eager to shape the future of artificial intelligence.
Remote AI Research Scientist (Computer Vision)
Posted 12 days ago
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Key Responsibilities:
- Conduct theoretical and applied research in computer vision, focusing on areas such as image recognition, object detection, segmentation, and 3D reconstruction.
- Design, develop, and implement state-of-the-art deep learning models for computer vision tasks.
- Experiment with new algorithms, architectures, and techniques to advance AI capabilities.
- Analyze and interpret complex datasets, preparing them for model training and evaluation.
- Evaluate the performance of AI models and algorithms, identifying areas for improvement.
- Collaborate with other researchers and engineers to integrate AI solutions into products and platforms.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research through literature review and conference participation.
- Publish research findings in top-tier academic journals and present at international conferences.
- Develop prototypes and proof-of-concepts for novel AI applications.
- Contribute to the intellectual property portfolio through patents and publications.
- Mentor junior researchers and contribute to the team's scientific growth.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field with a specialization in Computer Vision.
- Strong publication record in reputable AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or journals.
- Proven experience in developing deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages such as Python, and experience with libraries like OpenCV, scikit-learn, NumPy.
- Solid understanding of mathematical concepts underlying AI and computer vision (linear algebra, calculus, probability, statistics).
- Ability to work independently, manage research projects, and collaborate effectively in a remote setting.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills to articulate complex research ideas clearly.
Senior Remote AI Research Scientist - Machine Learning
Posted 5 days ago
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Principal Remote Scientific Research Scientist (Data Science) (Remote)
Posted 22 days ago
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Key responsibilities include spearheading research projects, mentoring junior scientists, and collaborating with interdisciplinary teams to explore novel hypotheses and develop groundbreaking solutions. You will be expected to author high-impact scientific publications, present findings at international conferences, and contribute to patent filings. Expertise in programming languages such as Python or R, proficiency with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn), and advanced knowledge of big data technologies and cloud computing platforms are mandatory. A strong understanding of statistical inference, experimental design, and data visualization techniques is essential.
You will play a pivotal role in shaping our client's data science strategy, identifying emerging trends, and advocating for the adoption of new methodologies and tools. The ability to lead complex, multi-faceted research endeavors with minimal supervision, while fostering a collaborative and intellectually stimulating remote work environment, is paramount. Exceptional communication, presentation, and interpersonal skills are required to effectively convey complex technical concepts to diverse audiences, including executive leadership and external collaborators. This is a unique opportunity to influence the future of scientific research at the highest level.
Location: Garissa, Garissa, KE
Principal AI Research Scientist - Remote Machine Learning
Posted 22 days ago
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Lead AI Research Scientist - Remote Machine Learning Models
Posted 22 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 .
Senior AI Research Scientist - Remote Deep Learning
Posted 13 days ago
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Senior AI Research Scientist - Remote Machine Learning
Posted 3 days ago
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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.
Senior AI Research Scientist - Remote Machine Learning Innovation
Posted 22 days ago
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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.
Remote Principal Research Scientist - AI & Machine Learning
Posted 5 days ago
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Key responsibilities include:
- Leading independent research initiatives in AI and Machine Learning, with a focus on novel algorithm development.
- Designing and implementing state-of-the-art ML models and deep learning architectures.
- Conducting rigorous experimentation, data analysis, and performance evaluation of developed models.
- Publishing research findings in leading academic venues and contributing to the broader scientific community.
- Mentoring and guiding a team of research scientists and engineers.
- Collaborating with product and engineering teams to explore the commercialization of research breakthroughs.
- Staying at the forefront of AI research by actively engaging with the scientific literature and attending conferences.
- Contributing to the strategic direction of the company's AI research roadmap.
- Developing and presenting research proposals to secure funding and resources.
- Ensuring ethical considerations are integrated into AI research and development processes.
To qualify for this position, candidates must possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 10+ years of post-doctoral research experience in AI/ML is required, with a significant portion in a lead or principal research role. A strong portfolio of peer-reviewed publications and demonstrated success in leading research projects are essential. Expertise in at least one of the following areas is highly desirable: NLP, Computer Vision, Reinforcement Learning, Generative Models, or Explainable AI. Proficiency in programming languages such as Python and ML frameworks like TensorFlow or PyTorch is mandatory. Excellent scientific communication, leadership, and problem-solving skills are critical. This remote role requires a high degree of self-motivation, intellectual curiosity, and the ability to work effectively with distributed teams.