731 Deep Learning jobs in Kenya
Lead AI Engineer - Deep Learning
Posted 1 day ago
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Job Description
Key Responsibilities:
- Lead the research, design, and implementation of deep learning models.
- Develop and optimize algorithms for large-scale datasets.
- Mentor and guide junior AI/ML engineers.
- Oversee the entire ML model lifecycle, from experimentation to production.
- Collaborate with cross-functional teams to define AI requirements and solutions.
- Evaluate and integrate new AI technologies and methodologies.
- Ensure the performance, scalability, and reliability of AI systems.
- Contribute to publications and patents in the field of AI.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of hands-on experience in deep learning and AI development.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and scientific computing libraries (NumPy, Pandas).
- Strong understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with MLOps, cloud computing, and big data technologies.
- Excellent leadership, problem-solving, and communication skills.
- Demonstrated ability to lead technical projects in a remote setting.
Principal AI Engineer - Deep Learning
Posted 2 days ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced deep learning models and algorithms.
- Lead the end-to-end AI project lifecycle, from data acquisition and preprocessing to model deployment and monitoring.
- Research and evaluate state-of-the-art AI techniques and technologies.
- Optimize model performance for scalability, efficiency, and accuracy.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Mentor and guide junior AI engineers and data scientists.
- Contribute to the company's AI strategy and roadmap.
- Publish research findings and present work at leading AI conferences.
- Ensure the ethical and responsible development and deployment of AI systems.
- Stay at the cutting edge of AI research and development.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in AI/ML development, with a strong focus on deep learning.
- Proven experience leading complex AI projects and delivering production-ready solutions.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, Keras.
- Proficiency in programming languages like Python, C++, Java.
- Deep understanding of machine learning algorithms, statistical modeling, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and communication skills, with the ability to articulate complex technical concepts.
- A portfolio of significant contributions to AI research or industry applications.
Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Responsibilities:
- Design, develop, and implement advanced deep learning algorithms and models for various applications, including natural language processing, computer vision, and predictive analytics.
- Conduct rigorous research to identify new AI techniques and approaches that can enhance our capabilities.
- Collaborate with data engineers and software developers to integrate AI models into production systems.
- Analyze large datasets to extract meaningful insights and identify patterns relevant to model training.
- Stay abreast of the latest advancements in AI and machine learning, and actively share knowledge with the team.
- Develop and maintain comprehensive documentation for AI models and research findings.
- Mentor junior researchers and engineers, fostering a culture of continuous learning and innovation.
- Present research findings and project progress to stakeholders and at relevant conferences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of experience in AI research and development, with a strong focus on deep learning frameworks (e.g., TensorFlow, PyTorch).
- Demonstrated expertise in at least one major area of AI such as NLP, computer vision, or reinforcement learning.
- Proficiency in programming languages such as Python, with experience in scientific computing libraries (NumPy, SciPy, Pandas).
- Experience with cloud platforms (AWS, Azure, GCP) for AI model training and deployment is highly desirable.
- Excellent problem-solving skills and the ability to work independently and effectively in a remote setting.
- Strong communication and collaboration skills to work effectively with a distributed team.
- Published research in top-tier AI conferences or journals is a significant plus.
Senior AI Research Scientist - Deep Learning
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct fundamental and applied research in deep learning and other AI subfields.
- Design, implement, and evaluate novel machine learning models and algorithms.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI/ML and identify opportunities for innovation.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and contribute to the growth of the AI team.
- Contribute to grant proposals and secure research funding where applicable.
- Develop and maintain high-quality, well-documented code for research experiments.
- Analyze large datasets to extract meaningful insights and drive model improvements.
- Present research findings and project updates to stakeholders, including technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of research experience in deep learning or a related AI domain.
- Strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Proficiency in Python and major deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with cloud computing platforms (AWS, GCP, Azure) and distributed training is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a team.
Principal AI Research Scientist - Deep Learning
Posted 2 days ago
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Job Description
Lead AI/ML Engineer (Deep Learning)
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and deployment of deep learning models.
- Architect scalable and efficient AI/ML systems and pipelines.
- Implement and optimize neural networks for various applications.
- Collaborate with cross-functional teams to define project requirements and goals.
- Mentor and guide junior AI/ML engineers and data scientists.
- Develop and maintain robust MLOps practices for model deployment and monitoring.
- Evaluate model performance and iterate to achieve optimal results.
- Stay abreast of the latest research and advancements in AI and deep learning.
- Contribute to the company's AI strategy and technical roadmap.
- 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 focus on deep learning.
- Extensive experience with Python and ML libraries such as TensorFlow, PyTorch, and Keras.
- Proven track record of successfully deploying complex ML models into production.
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated leadership experience in managing technical projects.
- Ability to work effectively in a fully remote team environment.
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
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Job Description
Responsibilities:
- Lead research initiatives in areas such as natural language processing, computer vision, reinforcement learning, or generative AI.
- Develop and optimize state-of-the-art deep learning architectures and training methodologies.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into deployable AI products.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for innovation and application.
- Publish research findings in top-tier conferences and journals, and contribute to the broader AI community.
- Mentor junior researchers and contribute to a culture of continuous learning and technical excellence.
- Design and conduct experiments, analyze results, and provide insightful recommendations.
- Contribute to the ethical development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research contributions in deep learning, evidenced by publications in reputable venues.
- Extensive experience with major deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and proficiency with relevant libraries (NumPy, SciPy, Pandas).
- Deep understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with cloud platforms (AWS, GCP, Azure) for model training and deployment is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration abilities, essential for a remote-first environment.
- Ability to work independently and manage projects effectively.
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Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct fundamental and applied research in Artificial Intelligence and Machine Learning.
- Develop and implement state-of-the-art deep learning models and algorithms.
- Design and execute experiments to evaluate AI model performance.
- Collaborate with engineering teams to deploy AI models into production environments.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to the growth of the AI team.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Contribute to the development of AI strategy and roadmap.
- Communicate research results and technical insights effectively.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- 5+ years of experience in AI research and development.
- Proven track record of publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Expertise in one or more of the following areas: NLP, Computer Vision, Reinforcement Learning, Generative Models.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Strong mathematical and statistical foundation.
- Experience with large-scale data processing and distributed computing.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote setting.
Lead AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Senior AI Research Scientist - Deep Learning
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in deep learning, natural language processing, computer vision, or other AI domains.
- Design, implement, and optimize novel deep learning architectures and algorithms.
- Train and fine-tune large-scale neural networks using various frameworks (e.g., TensorFlow, PyTorch).
- Develop and deploy AI models into production environments.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
- Analyze and interpret experimental results, providing clear insights and recommendations.
- Stay current with the latest advancements in AI research and academic literature.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers.
- Contribute to the intellectual property and patent portfolio of the company.
- Develop benchmarks and evaluation metrics for AI models.
- Troubleshoot and resolve issues related to AI model performance and deployment.
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 AI/Machine Learning, with a focus on Deep Learning.
- Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with large-scale datasets and distributed training.
- Solid understanding of algorithms, data structures, and statistical modeling.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, particularly in a remote setting.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Experience in areas like NLP, computer vision, reinforcement learning, or generative models is highly desirable.
This fully remote role, ideally suited for candidates contributing from regions like Thika, Kiambu, KE , offers an unparalleled opportunity to shape the future of artificial intelligence. If you are a passionate AI researcher driven by innovation, we want to hear from you.