What Jobs are available for Autonomous Driving Systems in Kenya?
Showing 1083 Autonomous Driving Systems jobs in Kenya
Lead Automotive Software Engineer - Autonomous Driving Systems
Posted 21 days ago
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                    Lead Autonomous Driving Software Engineer
Posted 17 days ago
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Responsibilities:
- Lead the design, development, and testing of core autonomous driving software modules, including sensor fusion, object detection, path planning, and vehicle control.
- Develop and implement advanced algorithms leveraging machine learning, deep learning, and computer vision techniques.
- Write clean, efficient, and well-documented C++ and Python code for real-time embedded systems.
- Collaborate closely with hardware engineers, data scientists, and testing teams to ensure seamless integration and performance.
- Optimize algorithms for performance, accuracy, and robustness in diverse driving scenarios.
- Define software architecture and ensure adherence to coding standards and best practices.
- Conduct rigorous testing and validation of software components, including simulation and real-world vehicle testing.
- Mentor and guide junior software engineers, fostering a culture of technical excellence.
- Stay abreast of the latest research and advancements in the field of autonomous driving and AI.
- Contribute to the overall strategy and roadmap for autonomous driving technology development.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on AI/ML.
- Minimum of 10 years of experience in software development, with at least 5 years focused on autonomous driving systems or related AI/ML applications.
- Expert proficiency in C++ and Python programming.
- Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
- Strong knowledge of algorithms, data structures, and software design patterns.
- Experience with robotics middleware (e.g., ROS) and simulation environments (e.g., CARLA, Gazebo).
- Proven ability to lead technical teams and manage complex software projects.
- Excellent problem-solving, debugging, and analytical skills.
- Strong communication and collaboration skills, essential for a remote, global team.
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                    Automotive Embedded Systems Engineer - Autonomous Driving
Posted 3 days ago
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                    Senior Automotive Systems Engineer - Autonomous Driving
Posted 10 days ago
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                    Junior AI/ML Engineer - Data Science Internship
Posted 4 days ago
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Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing for ML models.
- Support the development and training of machine learning algorithms.
- Conduct experiments and evaluate model performance.
- Collaborate with senior engineers on AI/ML projects.
- Learn and apply new AI/ML techniques and tools.
- Document code and research findings.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, or related field.
- Strong understanding of machine learning fundamentals.
- Proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn).
- Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a plus.
- Excellent analytical and problem-solving abilities.
- Strong communication and teamwork skills for a remote setting.
- Eagerness to learn and contribute to innovative projects.
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                    Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 14 days ago
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Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
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                    Lead AI/ML Engineer - Computer Vision
Posted 7 days ago
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Responsibilities:
- Lead the design, development, and implementation of computer vision algorithms and models.
- Build and train deep learning models for image recognition, object detection, segmentation, and tracking.
- Optimize model performance for accuracy, efficiency, and scalability across various platforms.
- Develop and maintain robust data pipelines for training and evaluating computer vision models.
- Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.
- Stay current with the latest research and advancements in computer vision and deep learning.
- Mentor and guide junior AI/ML engineers, fostering technical excellence and best practices.
- Architect scalable and robust ML systems for production deployment.
- Conduct rigorous testing and validation of AI models to ensure reliability and performance.
- Contribute to the technical roadmap and strategic direction of the AI/ML team.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Troubleshoot and resolve issues related to AI/ML model performance and deployment.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in AI/ML or Computer Vision.
- Minimum of 6-8 years of hands-on experience in developing and deploying computer vision models.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML model training and deployment.
- Solid understanding of image processing techniques and digital signal processing.
- Experience in leading technical teams and mentoring engineers is highly desirable.
- Excellent problem-solving skills and the ability to work effectively in a fast-paced, remote environment.
- Strong communication and collaboration skills.
- Familiarity with data augmentation, transfer learning, and other model optimization techniques.
- Experience with real-time computer vision applications is a plus.
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Senior AI/ML Engineer - Computer Vision
Posted 14 days ago
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Job Description
Key Responsibilities:
- Design, implement, and train deep learning models for various computer vision tasks, including object detection, image segmentation, facial recognition, and image generation.
- Develop and optimize algorithms for real-time image and video analysis.
- Conduct rigorous experimentation and evaluation of models, using appropriate metrics and statistical methods.
- Collaborate with cross-functional teams to integrate computer vision capabilities into new and existing products and services.
- Stay current with the latest research and advancements in computer vision and deep learning, and apply them to solve practical problems.
- Develop and maintain efficient data pipelines for training and inference.
- Optimize model performance for deployment on various platforms, including cloud and edge devices.
- Contribute to the overall AI/ML strategy and roadmap of the company.
- Mentor junior engineers and share knowledge within the team.
- Document research findings, algorithms, and implementation details thoroughly.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a specialization in Computer Vision or Machine Learning.
- Minimum of 7 years of hands-on experience in developing and deploying computer vision models using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python and C++.
- Strong understanding of core computer vision algorithms and techniques.
- Experience with large-scale datasets and distributed training environments.
- Solid grasp of image processing, feature extraction, and machine learning principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a fast-paced, fully remote environment.
- Strong communication and presentation skills to articulate technical concepts effectively.
- Experience with cloud platforms (AWS, GCP, Azure) for ML model training and deployment is a plus.
- Publications in top-tier computer vision or machine learning conferences (e.g., CVPR, ICCV, NeurIPS) are highly valued.
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