277 AI Software Engineer jobs in Kenya
AI Research Scientist - Deep Learning
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The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field, with a strong publication record in top-tier AI conferences and journals. You must have a minimum of 5 years of hands-on experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras. Proven expertise in programming languages like Python is essential, along with a solid understanding of advanced machine learning techniques, statistical modeling, and data mining. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly advantageous. Exceptional analytical, critical thinking, and problem-solving skills are required, as are excellent written and verbal communication abilities for effectively presenting complex research to diverse audiences. This fully remote position offers an unparalleled opportunity to contribute to the future of AI from the comfort of your home office.
Senior AI Research Scientist - Deep Learning
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Principal AI Research Scientist - Deep Learning
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Senior AI Research Scientist - Deep Learning
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Senior AI Researcher - Deep Learning - Remote
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Key Responsibilities:
- Conduct advanced research in Deep Learning.
- Develop novel AI algorithms and models.
- Implement and train deep neural networks.
- Perform rigorous experimentation and analysis.
- Publish research findings in top-tier venues.
- Collaborate with AI research teams.
- Contribute to AI strategy and direction.
- Stay updated on AI research advancements.
Qualifications:
- Ph.D. in AI, Computer Science, or related field.
- Proven track record in Deep Learning research.
- Expertise in TensorFlow or PyTorch.
- Strong publication record.
- Proficiency in Python.
- Experience with large datasets.
- Excellent analytical and problem-solving skills.
Lead AI Engineer - Deep Learning - Remote
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Senior AI Research Scientist (Deep Learning)
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Key Responsibilities:
- Conduct cutting-edge research in deep learning, machine learning, and related AI fields.
- Design, develop, and implement novel deep learning models and algorithms.
- Train and evaluate models using large-scale datasets and high-performance computing resources.
- Stay abreast of the latest advancements in AI research and apply them to practical problems.
- Collaborate with engineers to integrate research prototypes into production systems.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of the team's intellectual property through patents and internal knowledge sharing.
- Mentor junior researchers and contribute to a positive and collaborative research environment.
- Analyze complex data to identify patterns and inform model development.
- Present research findings to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in deep learning and machine learning.
- Proven track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Strong proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in programming languages like Python.
- Experience with large-scale data processing and distributed training is highly desirable.
- Strong mathematical and statistical foundation.
- Excellent problem-solving, analytical, and critical thinking skills.
- Effective communication and collaboration skills, suitable for a remote team.
- Ability to work independently and drive research projects forward.
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Senior AI Research Scientist - Deep Learning
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The successful candidate will be responsible for conducting in-depth research, designing and implementing advanced deep learning architectures, and experimenting with various machine learning frameworks such as TensorFlow and PyTorch. You will collaborate closely with a team of world-class engineers and data scientists to translate research findings into practical applications, pushing the boundaries of what's possible in AI.
Key responsibilities include:
- Leading research initiatives in areas such as computer vision, natural language processing, or reinforcement learning.
- Developing and optimizing deep neural networks for performance and scalability.
- Designing and executing rigorous experiments to validate new models and techniques.
- Analyzing large datasets to extract meaningful insights and identify patterns.
- Staying abreast of the latest advancements in AI and machine learning through continuous learning and participation in academic communities.
- Mentoring junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Collaborating with product teams to integrate AI solutions into our offerings.
- Documenting research findings and presenting them at internal and external forums.
To be considered for this role, you must possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A strong publication record in top-tier AI conferences and journals is highly desirable. Proven experience (5+ years) in developing and deploying deep learning models in a production environment is required. Excellent programming skills in Python and familiarity with relevant libraries (e.g., NumPy, SciPy, Pandas) are essential. Outstanding analytical, problem-solving, and communication skills are also necessary. The ability to work effectively in a dynamic, collaborative team environment is crucial. Experience with cloud platforms like AWS or Azure, and distributed computing frameworks like Spark, is a plus.
AI/ML Engineer - Deep Learning Specialist
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Responsibilities:
- Design, develop, and implement advanced deep learning models.
- Conduct data preprocessing, feature engineering, and model training.
- Evaluate and optimize model performance using various metrics.
- Deploy machine learning models into production environments.
- Collaborate with cross-functional teams to define AI project requirements.
- Research and stay updated on the latest advancements in AI and deep learning.
- Write clean, efficient, and well-documented code in Python.
- Work with large datasets and distributed computing frameworks.
- Develop and maintain robust MLOps pipelines.
- Contribute to the overall AI strategy and roadmap.
- Debug and resolve issues in ML models and systems.
- Present findings and technical solutions to both technical and non-technical audiences.
- Proven experience in developing and deploying deep learning models.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
- Strong understanding of neural networks, CNNs, RNNs, and other deep learning architectures.
- Experience with cloud platforms (AWS, Azure, GCP) for ML.
- Solid understanding of data science principles and statistical modeling.
- Excellent problem-solving and analytical skills.
- Ability to work independently and manage tasks effectively in a remote environment.
- Master's or PhD in Computer Science, AI, or a related quantitative field is preferred.
Remote Senior AI/ML Engineer (Deep Learning)
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Key Responsibilities:
- Design, develop, and implement advanced deep learning models for various applications.
- Conduct research and experimentation to explore new AI techniques and algorithms.
- Preprocess and analyze large datasets to prepare them for model training.
- Train, evaluate, and optimize machine learning models for performance and accuracy.
- Deploy AI models into production environments and monitor their performance.
- Collaborate with software engineers to integrate AI capabilities into existing products.
- Stay current with the latest advancements in AI, machine learning, and deep learning research.
- Contribute to the development of internal AI tools and infrastructure.
- Mentor junior engineers and share knowledge within the team.
- Document model architectures, training procedures, and deployment strategies.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on deep learning.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, and experience with libraries such as NumPy, Pandas, Scikit-learn.
- Strong understanding of various machine learning algorithms and statistical modeling techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and collaboration skills, essential for effective remote teamwork.
- Ability to work independently and manage project timelines effectively.
- A dedicated remote workspace with a reliable high-speed internet connection is mandatory.