6,585 Senior Machine Learning Engineer AI Research Remote jobs in Kenya
Machine Learning Engineer - AI Research - Remote
Posted 15 days ago
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Senior Machine Learning Engineer - AI Research (Remote)
Posted 20 days ago
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Responsibilities:
- Design, develop, and implement state-of-the-art machine learning algorithms and models for various applications.
- Conduct research and experimentation to explore new ML techniques and approaches.
- Process, clean, and transform large datasets to prepare them for model training.
- Train, evaluate, and optimize ML models, ensuring performance, scalability, and efficiency.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with software engineers, data scientists, and domain experts to integrate ML solutions into products and services.
- Stay current with the latest advancements in AI, machine learning, deep learning, and related fields.
- Develop and maintain robust ML pipelines and infrastructure.
- Contribute to technical documentation, research papers, and presentations.
- Mentor junior engineers and contribute to fostering a culture of innovation.
- Identify opportunities for applying AI and ML to solve business challenges.
- Ensure ethical considerations and responsible AI practices are integrated into development processes.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 7 years of hands-on experience in machine learning engineering and applied AI research.
- Proven expertise in developing and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong programming skills in Python, and experience with related data science libraries (e.g., Pandas, NumPy).
- Deep understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with data processing, feature engineering, and model evaluation techniques.
- Familiarity with MLOps principles and tools for model deployment and monitoring.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services is highly desirable.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Ability to work independently and lead complex projects in a fully remote environment.
Senior AI Research Scientist - Remote Deep Learning
Posted 11 days ago
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AI Research Scientist (Computer Vision - Remote)
Posted 18 days ago
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Responsibilities:
- Conduct cutting-edge research in computer vision, including object detection, image segmentation, facial recognition, and video analysis.
- Develop, implement, and evaluate novel deep learning models and algorithms for vision tasks.
- Design and execute experiments to test hypotheses and validate research findings.
- Process and analyze large-scale image and video datasets.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Publish research findings in top-tier AI conferences and journals.
- Stay current with the latest advancements in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Mentor junior researchers and interns, fostering a collaborative research environment.
- Present research progress and results to internal teams and external stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a strong focus on computer vision.
- Proven track record of impactful research in computer vision, evidenced by publications in leading venues (e.g., CVPR, ICCV, ECCV).
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, and experience with libraries like OpenCV, NumPy, and Scikit-learn.
- Strong understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with large-scale data processing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, capable of explaining complex technical concepts clearly.
- Ability to work independently, manage research projects, and collaborate effectively in a remote setting.
- A passion for AI and a drive to contribute to novel solutions.
AI Research Scientist - Deep Learning - Remote
Posted 20 days ago
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Key Responsibilities:
- Conduct original research in deep learning, machine learning, and artificial intelligence.
- Design, develop, and implement novel deep learning models and algorithms.
- Experiment with various neural network architectures, optimization techniques, and regularization methods.
- Train and fine-tune models using large datasets and high-performance computing resources.
- Evaluate model performance, identify limitations, and propose improvements.
- Collaborate with other researchers and engineers to integrate AI models into products and services.
- Stay abreast of the latest research trends and advancements in AI and deep learning.
- Publish research findings in leading academic conferences and journals.
- Contribute to the development of AI strategy and roadmap.
- Mentor junior researchers and contribute to knowledge sharing within the team.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Proven track record of research and publication in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Strong theoretical and practical understanding of deep learning concepts and techniques.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages commonly used in AI research (e.g., Python).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, capable of explaining complex research to diverse audiences.
- Ability to work independently and manage research projects effectively in a remote environment.
Principal AI Research Scientist (Deep Learning - Remote)
Posted 20 days ago
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Responsibilities:
- Lead research and development in deep learning and artificial intelligence.
- Design, implement, and evaluate novel AI algorithms and models.
- Conduct in-depth theoretical and empirical research in AI domains.
- Publish research findings in leading academic venues.
- Collaborate with cross-functional teams on AI integration and application.
- Mentor and guide junior researchers and engineers.
- Stay abreast of the latest advancements in AI and machine learning.
- Develop and prototype AI-powered solutions for complex problems.
- Contribute to the strategic direction of AI research initiatives.
- Present research findings to technical and non-technical audiences.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 10 years of experience in AI research, with a strong focus on deep learning.
- Extensive publication record in top-tier AI conferences and journals.
- Proven expertise in areas such as deep neural networks, NLP, computer vision, or reinforcement learning.
- Proficiency in programming languages like Python and relevant AI frameworks (e.g., TensorFlow, PyTorch).
- Strong theoretical understanding of machine learning principles.
- Exceptional analytical, research, and problem-solving skills.
- Outstanding remote communication, collaboration, and leadership abilities.
- Ability to work independently and drive research initiatives forward.
- A passion for pushing the boundaries of AI technology.
AI Research Scientist - Machine Learning (Remote)
Posted 11 days ago
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Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop and implement novel AI algorithms and models, including state-of-the-art neural network architectures.
- Design and execute experiments to evaluate the performance of AI models on large-scale datasets.
- Analyze complex data to identify patterns, extract insights, and inform model development.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to patent applications and intellectual property generation.
- Stay abreast of the latest advancements in AI and machine learning research globally.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Present research outcomes and technical details to both technical and non-technical audiences.
- Develop robust and scalable AI systems for deployment.
- Work closely with engineering teams to ensure the practical application and scalability of research prototypes.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research and publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Strong theoretical understanding of machine learning, deep learning, and statistical modeling.
- Expertise in at least one major AI/ML framework such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python, with extensive experience in data manipulation and scientific computing libraries.
- Experience working with large datasets and distributed computing environments (e.g., Spark, Hadoop).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex research concepts clearly.
- Demonstrated ability to work independently and as part of a remote, collaborative team.
- Experience in specific subfields like NLP, Computer Vision, or Reinforcement Learning is a significant plus.
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Senior AI Research Scientist - Computer Vision (Remote)
Posted 12 days ago
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Lead AI Research Scientist - Machine Learning (Remote)
Posted 20 days ago
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Responsibilities:
- Lead cutting-edge research in machine learning and artificial intelligence.
- Design, develop, and implement novel ML algorithms and models.
- Conduct experiments, analyze data, and interpret results to advance AI capabilities.
- Collaborate with a team of researchers and engineers to achieve research objectives.
- Stay abreast of the latest advancements and trends in AI and ML research.
- Develop prototypes and proof-of-concepts for new AI solutions.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to the team's scientific growth.
- Communicate complex technical concepts effectively to diverse audiences.
- Contribute to the strategic direction of AI research within the company.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publications in top AI/ML venues.
- Minimum of 5 years of hands-on experience in machine learning model development and deployment.
- Expertise in programming languages such as Python, and ML libraries like TensorFlow, PyTorch, Scikit-learn.
- Deep understanding of various ML techniques (e.g., deep learning, reinforcement learning, supervised/unsupervised learning).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication, presentation, and collaboration skills.
- Ability to work independently and manage research projects effectively in a remote setting.
Senior AI Research Scientist - Machine Learning (Remote)
Posted 20 days ago
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Job Description
Responsibilities:
- Conduct theoretical and applied research in machine learning, deep learning, and related AI fields.
- Develop and implement novel algorithms and models for various AI applications.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large datasets to extract insights and drive model improvements.
- Collaborate with software engineers to deploy AI models into production environments.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning research.
- Mentor junior researchers and contribute to the team's knowledge base.
- Present research results to internal stakeholders and external audiences.
- Contribute to the strategic direction of the company's AI research initiatives.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on research experience in AI/ML, with a strong publication record.
- Expertise in various machine learning techniques, including deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python and experience with relevant libraries (e.g., scikit-learn, NumPy, Pandas).
- Strong analytical and problem-solving skills.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent communication and collaboration skills, essential for a remote team environment.
- Ability to work independently, drive research initiatives, and manage complex projects.