1,078 Senior Robotics Engineer Autonomous Systems jobs in Kenya
Lead Robotics Engineer - Autonomous Systems
Posted 22 days ago
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Job Description
- Lead the design and development of robotic hardware and software architectures.
- Develop and implement advanced algorithms for robot navigation, path planning, and obstacle avoidance.
- Design and integrate robotic control systems, ensuring stability and performance.
- Oversee the integration of sensors, actuators, and other mechatronic components.
- Manage the testing and validation of robotic systems in simulated and real-world environments.
- Collaborate with AI and machine learning specialists to incorporate intelligent behaviors into robotic systems.
- Mentor and guide junior mechanical and robotics engineers.
- Contribute to defining the technical roadmap and strategy for robotics development.
- Ensure adherence to best practices in mechanical design, safety, and project management.
- Troubleshoot and resolve complex engineering challenges in a remote setting.
- Master's or Ph.D. in Mechanical Engineering, Robotics, Electrical Engineering, or a related field.
- Minimum of 8 years of hands-on experience in robotics engineering, with a proven track record of leading complex projects.
- Strong understanding of mechanical design principles, kinematics, dynamics, and mechatronics.
- Expertise in control theory and implementation (e.g., PID, model predictive control).
- Proficiency in C++, Python, and robotics middleware like ROS (Robot Operating System).
- Experience with CAD software (e.g., SolidWorks, AutoCAD) and simulation tools.
- Familiarity with embedded systems and microcontrollers.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and teamwork skills, essential for remote collaboration.
- Ability to work independently and manage priorities effectively.
Senior Robotics Engineer - Autonomous Systems
Posted 7 days ago
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Job Description
Responsibilities:
- Design, develop, and implement algorithms for robot navigation, perception, and control.
- Develop software for autonomous systems using C++, Python, and ROS.
- Implement sensor fusion techniques to integrate data from various sensors (LiDAR, cameras, IMUs, encoders).
- Develop and optimize motion planning and control strategies for robotic manipulators and mobile platforms.
- Design and build simulation environments for testing and validating robotic algorithms.
- Collaborate with hardware engineers to integrate robotic components and ensure system functionality.
- Perform hardware-in-the-loop testing and deploy robotic systems in real-world applications.
- Troubleshoot and debug complex robotic systems, identifying and resolving issues efficiently.
- Stay current with the latest advancements in robotics, AI, and autonomous systems.
- Document designs, algorithms, and test results comprehensively.
- Master's or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
- Minimum of 6 years of experience in robotics development and autonomous systems.
- Proficiency in C++ and Python programming languages.
- Extensive experience with ROS (Robot Operating System).
- Strong understanding of robot kinematics, dynamics, control theory, and motion planning.
- Experience with sensor fusion, computer vision, and machine learning for robotics.
- Familiarity with real-time operating systems and embedded systems development.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and collaboratively in a remote, fast-paced environment.
- Strong communication and documentation skills.
Lead AI/ML Engineer - Autonomous Systems
Posted 2 days ago
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Job Description
You will lead a team of talented AI researchers and engineers in designing, building, and deploying advanced machine learning models and algorithms for autonomous applications. This includes areas such as computer vision, natural language processing, reinforcement learning, and predictive analytics. You will be responsible for the entire ML lifecycle, from data acquisition and preprocessing to model training, validation, and deployment in production environments. Excellent communication, collaboration, and leadership skills are essential for this remote position.
Key Responsibilities:
- Lead the design, development, and implementation of state-of-the-art AI/ML models and algorithms for autonomous systems.
- Oversee the data science workflow, including data collection, cleaning, feature engineering, and model training.
- Develop and deploy robust ML pipelines using cloud platforms and MLOps best practices.
- Stay current with cutting-edge research in AI/ML and identify opportunities for innovation.
- Collaborate closely with software engineers to integrate AI models into production systems.
- Mentor and guide junior AI/ML engineers, fostering a culture of learning and excellence.
- Evaluate and select appropriate tools, frameworks, and technologies for AI/ML development.
- Present research findings, technical designs, and project progress to stakeholders.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Contribute to the strategic direction of the company's AI initiatives.
The ideal candidate will have a Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field, with a strong publication record. Significant experience in leading AI/ML projects and a deep understanding of various ML techniques are required. This position is fully remote, allowing for flexible work arrangements. While location-independent, the primary operational context for this role is associated with Kitale, Trans-Nzoia, KE .
Lead AI/ML Research Scientist - Autonomous Systems
Posted 22 days ago
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Job Description
Key responsibilities include conducting cutting-edge research in areas such as deep learning, reinforcement learning, computer vision, and natural language processing; developing novel AI architectures and algorithms; and overseeing the end-to-end lifecycle of ML projects, from experimentation to production deployment. You will mentor junior researchers, collaborate with cross-functional teams to define research objectives, and publish findings in top-tier academic conferences and journals. The ideal candidate possesses a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a minimum of 8 years of hands-on research and development experience in AI/ML. Proven experience leading research projects and mentoring teams is essential. Expertise in programming languages such as Python, C++, and familiarity with ML frameworks like TensorFlow, PyTorch, and scikit-learn are required. You should have a strong publication record and a deep understanding of theoretical ML concepts as well as practical implementation challenges. This is a unique opportunity to shape the future of autonomous systems within a forward-thinking organization that values creativity, collaboration, and scientific rigor. Join us in a remote setting to drive significant advancements in AI and contribute to groundbreaking technological innovations.
Senior Computer Vision Engineer - Autonomous Systems
Posted 18 days ago
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Job Description
Key Responsibilities:
- Design, develop, and deploy advanced computer vision algorithms for autonomous systems.
- Implement and optimize models for object detection, tracking, segmentation, and depth estimation.
- Develop robust pipelines for data acquisition, processing, and augmentation.
- Integrate computer vision modules into larger system architectures.
- Collaborate with hardware and software engineering teams to ensure seamless system performance.
- Conduct rigorous testing and validation of computer vision algorithms.
- Stay up-to-date with the latest research and advancements in computer vision and machine learning.
- Mentor junior engineers and contribute to the team's technical growth.
- Document algorithms, methodologies, and system designs thoroughly.
- Optimize computer vision solutions for real-time performance and embedded systems.
- M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- 5+ years of professional experience in computer vision engineering.
- Strong theoretical and practical knowledge of deep learning, CNNs, and traditional computer vision techniques.
- Proficiency in C++ and Python, with extensive experience in libraries like OpenCV and PCL.
- Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with 3D vision, SLAM, or sensor fusion is highly desirable.
- Familiarity with robotics platforms and real-time operating systems.
- Excellent analytical, problem-solving, and debugging skills.
- Strong communication and collaboration skills for a remote team setting.
- Proven ability to work independently and manage complex projects.
Senior AI Research Scientist - Autonomous Systems
Posted 22 days ago
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Job Description
Key Responsibilities:
- Conduct advanced research into AI/ML techniques for autonomous decision-making, perception, and control.
- Design, implement, and validate novel AI algorithms and frameworks.
- Collaborate with a diverse team of engineers and researchers to translate research concepts into robust, scalable solutions.
- Develop and maintain high-quality code in Python and other relevant programming languages.
- Stay abreast of the latest advancements in AI research and apply them to product development.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the intellectual property portfolio through patent applications.
- Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Engage in rigorous testing and evaluation of AI models, ensuring reliability and performance.
- Participate in cross-functional team meetings and provide technical leadership.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.
- Proven track record of impactful research in AI, demonstrated through publications and practical applications.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python, with proficiency in libraries like NumPy, SciPy, and Pandas.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed computing is a plus.
- Excellent problem-solving and analytical skills.
- Ability to work independently and collaboratively in a remote, fast-paced environment.
- Exceptional communication and presentation skills.
- Familiarity with robotic operating systems (ROS) is advantageous.
- A passion for creating intelligent, autonomous systems that can operate reliably in complex environments.
This role offers a unique opportunity to work on groundbreaking AI technologies from the comfort of your home, contributing significantly to the future of intelligent machines. The role is based in Mlolongo, Machakos, KE , but is a fully remote position, allowing for flexibility and global talent acquisition.
Lead AI/ML Engineer - Computer Vision
Posted 15 days ago
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Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
- Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
- Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
- Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
- Oversee the data collection, annotation, and preparation process for training computer vision models.
- Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
- Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
- Write high-quality, well-documented code in languages such as Python.
- Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
- Contribute to intellectual property and publish research findings where appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Computer Vision.
- Proven track record of developing and deploying complex computer vision models in production environments.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong knowledge of algorithms, data structures, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with model optimization and deployment strategies is highly desirable.
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Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 7 days ago
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Job Description
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.
Principal AI/ML Engineer (Computer Vision)
Posted 22 days ago
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Job Description
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
- Lead the design, development, and implementation of advanced computer vision models and algorithms.
- Conduct cutting-edge research in areas such as object detection, segmentation, image classification, and generative models.
- Develop and deploy ML pipelines for training, evaluation, and inference in production environments.
- Optimize model performance for scalability, efficiency, and real-time applications.
- Collaborate with cross-functional teams to define project requirements and technical specifications.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, ML, and computer vision research and industry trends.
- Contribute to the company's intellectual property through patents and publications.
- Design and conduct experiments to validate new approaches and algorithms.
- Troubleshoot and resolve complex technical challenges in AI/ML systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 8 years of professional experience in AI/ML engineering, with a significant focus on computer vision.
- Proven track record of developing and deploying sophisticated CV models in production.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Excellent analytical, problem-solving, and algorithmic design skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and lead projects in a fully remote environment.
- Demonstrated experience with large-scale datasets and distributed training.
Lead AI/ML Engineer (Deep Learning)
Posted 22 days ago
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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.