1,048 AI Machine Learning Engineer jobs in Kenya
Machine Learning Engineer - AI Research
Posted 21 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant Machine Learning Engineer to join their cutting-edge research team. This is a fully remote position, allowing you to work with a world-class team from your preferred location. The successful candidate will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that power next-generation AI solutions. You will work with large datasets, conduct rigorous experimentation, and translate research findings into production-ready systems. This role requires a deep understanding of statistical modeling, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages such as Python. Your responsibilities will include exploring new AI techniques, building robust ML pipelines, and collaborating with data scientists and software engineers to integrate AI capabilities into various applications. The Machine Learning Engineer will also be involved in performance tuning, model evaluation, and staying abreast of the latest advancements in the field of artificial intelligence and emerging technologies. Excellent problem-solving skills, a strong analytical mindset, and a passion for pushing the boundaries of AI are essential. You should have a proven ability to work independently, manage complex projects, and communicate technical concepts effectively. A PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field is highly preferred. This is an unparalleled opportunity to contribute to groundbreaking AI research and development and shape the future of technology.Thika, Kiambu, KE
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Lead Machine Learning Engineer - Computer Vision
Posted 9 days ago
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Job Description
Our client is seeking an experienced Lead Machine Learning Engineer with a specialization in Computer Vision to join their fully remote, forward-thinking AI team. This is an exciting opportunity to take on a leadership role in designing, developing, and deploying advanced computer vision solutions that drive innovation across various applications. You will be instrumental in shaping the technical direction of our computer vision projects, mentoring a team of talented engineers, and pushing the boundaries of image and video analysis. As a remote-first organization, we foster a collaborative and dynamic environment where your contributions are highly valued.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art machine learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and video analysis.
- Architect robust and scalable ML pipelines for data processing, model training, evaluation, and deployment in production environments.
- Mentor and guide a team of machine learning engineers, fostering technical excellence and collaborative problem-solving.
- Collaborate closely with cross-functional teams, including AI researchers, software engineers, and product managers, to translate business requirements into technical solutions.
- Stay at the forefront of computer vision research and industry advancements, identifying opportunities to integrate novel techniques and technologies.
- Optimize model performance for efficiency, accuracy, and scalability across various hardware platforms.
- Develop and maintain high-quality, well-documented code adhering to best practices in software engineering and MLOps.
- Contribute to the strategic roadmap for AI and computer vision initiatives within the organization.
- Present technical findings, project updates, and strategic recommendations to stakeholders.
- Ensure the ethical development and deployment of AI systems, adhering to fairness and bias mitigation principles.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field with a strong focus on Computer Vision.
- Extensive experience in developing and deploying machine learning models for computer vision applications.
- Deep understanding of core computer vision algorithms, deep learning architectures (CNNs, Transformers), and relevant frameworks (e.g., TensorFlow, PyTorch, OpenCV).
- Proven experience in leading technical teams and managing complex ML projects.
- Proficiency in Python and experience with MLOps practices and tools.
- Strong analytical, problem-solving, and algorithmic thinking skills.
- Excellent communication and collaboration skills, essential for effective remote teamwork.
- Experience with cloud platforms (AWS, GCP, Azure) for ML workloads is highly desirable.
- Demonstrated ability to work independently and drive projects to completion in a remote setting.
- Track record of publications or contributions to open-source computer vision projects is a plus.
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Machine Learning Engineer - Computer Vision
Posted 21 days ago
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Job Description
Our client, a leader in artificial intelligence solutions, is seeking a talented and innovative Machine Learning Engineer with a specialization in Computer Vision to join their dynamic, fully remote team. This role involves designing, developing, and deploying advanced machine learning models for a variety of computer vision applications, including image recognition, object detection, and video analysis. You will work on challenging projects that push the boundaries of AI technology, from research and development to production deployment. The ideal candidate will have a Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field, with a strong theoretical understanding and practical experience in computer vision and deep learning. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Responsibilities include: developing and implementing cutting-edge computer vision algorithms; training and evaluating machine learning models; optimizing model performance for efficiency and accuracy; collaborating with software engineers to integrate models into production systems; conducting research to identify and explore new CV techniques; preparing technical documentation and presenting findings to stakeholders. This remote position offers the opportunity to work on impactful projects with a highly skilled international team, contributing to the advancement of AI from **Mombasa, Mombasa, KE**, and anywhere in the world.
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Principal Machine Learning Engineer - AI Research
Posted 13 days ago
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Job Description
Our client, a pioneer in AI innovation, is seeking a highly accomplished and visionary Principal Machine Learning Engineer to lead their advanced research initiatives. This is a fully remote position, offering an unparalleled opportunity to work on groundbreaking AI projects from anywhere. You will be at the forefront of developing and implementing state-of-the-art machine learning models, algorithms, and systems that push the boundaries of artificial intelligence. Your responsibilities will include designing scalable ML architectures, conducting rigorous experimentation, and translating complex research findings into practical applications. This role requires a deep theoretical understanding of ML concepts, including deep learning, natural language processing, computer vision, and reinforcement learning, coupled with extensive hands-on experience in building and deploying production-ready ML solutions. You will mentor junior engineers, lead technical strategy, and collaborate closely with research scientists and product teams. The ideal candidate will possess a strong publication record in top-tier AI conferences or journals, demonstrating significant contributions to the field. Excellent programming skills in Python and proficiency with ML frameworks such as TensorFlow, PyTorch, or Keras are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is also highly valued. This remote role demands exceptional problem-solving skills, creativity, and the ability to drive complex projects to completion independently. Strong communication skills are vital for sharing research insights and collaborating with a global team. If you are a passionate AI researcher and engineer driven by innovation and eager to shape the future of AI, this is the role for you.
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Principal Machine Learning Engineer - Computer Vision
Posted 21 days ago
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Job Description
Our client is seeking a Principal Machine Learning Engineer with a strong focus on Computer Vision to join their pioneering team in Kitale, Trans-Nzoia, KE . This is a critical role for an individual with a proven ability to lead complex projects from conception to deployment. You will be instrumental in designing, developing, and optimizing cutting-edge computer vision systems that power a range of innovative applications. This includes working on object detection, image segmentation, facial recognition, and video analysis using deep learning techniques. You will be responsible for architecting scalable ML pipelines, managing large image and video datasets, and ensuring the performance and reliability of production models. This position demands a deep theoretical understanding coupled with practical, hands-on experience in implementing and deploying ML models in real-world scenarios. You will mentor junior engineers, drive technical strategy, and collaborate with product and research teams to define future directions. Experience with state-of-the-art CV frameworks, cloud infrastructure, and MLOps best practices is essential.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of advanced computer vision models.
- Develop and optimize ML pipelines for large-scale image and video data.
- Architect robust and scalable ML systems for production environments.
- Collaborate with researchers to implement and validate new algorithms.
- Mentor and guide a team of ML engineers and data scientists.
- Define technical roadmaps and best practices for computer vision within the organization.
- Ensure the performance, efficiency, and ethical considerations of deployed models.
- Stay current with industry trends and breakthroughs in computer vision and ML.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- 10+ years of experience in machine learning, with at least 5 years focused on computer vision.
- Demonstrated success in deploying ML models to production.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
- Proficiency in Python and C++.
- Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, Azure ML).
- Strong understanding of MLOps principles and tools.
- Excellent leadership and communication skills.
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Senior Machine Learning Engineer (Computer Vision)
Posted 22 days ago
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Job Description
Our client is at the cutting edge of AI and emerging technologies, and they are looking for a talented Senior Machine Learning Engineer specializing in Computer Vision. This is a fully remote role, offering you the chance to work on challenging and impactful projects without geographical constraints. The ideal candidate will have a strong theoretical understanding and practical experience in developing and deploying computer vision models. You will contribute to innovative solutions that push the boundaries of what's possible with AI, potentially impacting sectors that serve communities such as **Meru, Meru, KE**. Your responsibilities will include designing, building, and optimizing computer vision algorithms, working with large datasets, and collaborating with a world-class remote engineering team.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement state-of-the-art computer vision models for tasks such as object detection, image segmentation, recognition, and tracking.
- Work with large-scale image and video datasets for training and evaluating models.
- Utilize deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Preprocess and augment image data to improve model performance.
- Optimize models for deployment on various platforms, including edge devices and cloud environments.
- Collaborate with software engineers to integrate ML models into production systems.
- Conduct research and stay updated with the latest advancements in computer vision and deep learning.
- Perform rigorous testing and validation of ML models.
- Contribute to the design and architecture of our machine learning infrastructure.
- Mentor junior machine learning engineers and contribute to team knowledge sharing.
- Document code, methodologies, and experimental results thoroughly.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.
- 5+ years of experience in machine learning, with a strong focus on computer vision.
- Proficiency in Python and relevant ML libraries (e.g., OpenCV, scikit-image).
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of computer vision algorithms and techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong programming skills and experience with software development best practices.
- Excellent analytical and problem-solving abilities.
- Effective communication skills for collaborating with a remote team.
- Experience with data annotation and management is a plus.
- Ability to work independently and drive projects forward in a remote setting.
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Senior Computer Vision Engineer - AI Systems
Posted 9 days ago
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Job Description
Our client is seeking a highly skilled and innovative Senior Computer Vision Engineer to join their advanced AI research and development team. This is a fully remote, full-time position where you will be at the forefront of developing cutting-edge computer vision algorithms and systems. You will tackle challenging problems in image and video analysis, object detection, recognition, and machine perception, contributing significantly to the evolution of AI technologies.
Responsibilities:
Responsibilities:
- Design, develop, and implement state-of-the-art computer vision algorithms and models for various applications.
- Work with large-scale datasets for training and evaluating computer vision models.
- Collaborate with a team of AI researchers and engineers to integrate vision systems into broader AI platforms.
- Optimize computer vision algorithms for performance, accuracy, and efficiency on different hardware platforms.
- Stay abreast of the latest research and advancements in computer vision, deep learning, and machine learning.
- Develop prototypes and conduct rigorous testing to validate solutions.
- Contribute to the design and architecture of scalable computer vision systems.
- Publish research findings and present work at leading conferences and in journals.
- Mentor junior engineers and contribute to a culture of technical excellence and innovation.
- Ensure the responsible and ethical development of AI systems, addressing potential biases.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a specialization in Computer Vision.
- 5+ years of hands-on experience in developing and deploying computer vision algorithms.
- Strong proficiency in C++ and Python, along with experience in relevant libraries (e.g., OpenCV, scikit-image).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proven experience with deep learning models for image recognition, object detection, segmentation, and tracking.
- Solid understanding of image processing techniques and mathematical principles underlying computer vision.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed computing is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, particularly in a remote work environment.
- Ability to work independently and lead technical initiatives.
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Senior Machine Learning Engineer - AI Research
Posted 8 days ago
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Job Description
Our client, a pioneering force in AI & Emerging Technologies, is seeking a highly skilled and innovative Senior Machine Learning Engineer to join their esteemed remote research team. This is an exceptional opportunity to work on cutting-edge AI projects, pushing the boundaries of what's possible. The ideal candidate will possess a deep theoretical understanding of machine learning algorithms, coupled with hands-on experience in developing, deploying, and optimizing complex ML models. You will be instrumental in designing, implementing, and scaling machine learning solutions that address challenging real-world problems. This role involves extensive research, experimentation, and development of novel algorithms and techniques, contributing directly to our client's intellectual property and technological advancements. Key responsibilities include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will work with large datasets, utilizing advanced statistical and computational methods. Collaboration with other engineers, data scientists, and researchers across the globe is a core aspect of this role, requiring excellent communication and teamwork skills. The Senior Machine Learning Engineer will also be responsible for staying abreast of the latest advancements in the field, evaluating new technologies, and recommending their adoption where appropriate. We are looking for a proactive, analytical, and results-oriented individual who thrives in a dynamic research environment. The ability to translate complex technical concepts into actionable plans and deliver high-quality results is essential. This is a fully remote position, offering the flexibility to contribute from anywhere while collaborating with a world-class team on groundbreaking AI research and development.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms.
- Conduct research and experimentation to advance the state-of-the-art in AI/ML.
- Process, clean, and transform large datasets for model training.
- Evaluate model performance and optimize for accuracy, efficiency, and scalability.
- Deploy ML models into production environments.
- Collaborate with cross-functional teams on AI projects.
- Stay current with the latest research papers, tools, and techniques in ML and AI.
- Contribute to the technical strategy and roadmap for AI initiatives.
- Mentor junior engineers and share knowledge within the team.
- Document research findings, algorithms, and code.
- Troubleshoot and resolve issues related to ML model performance and deployment.
Qualifications:
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning engineering or research.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Deep understanding of various ML algorithms (e.g., deep learning, reinforcement learning, NLP).
- Experience with data processing and big data technologies (e.g., Spark, Hadoop).
- Proven track record of deploying ML models into production.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for remote team environments.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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7
Machine Learning Engineer - AI Research - Remote
Posted 18 days ago
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Job Description
Our client is looking for an innovative and highly skilled Machine Learning Engineer to join their cutting-edge AI research team. This is a 100% remote position, offering a unique opportunity to contribute to advanced AI projects from your home office. You will be at the forefront of developing and implementing novel machine learning models and algorithms to solve complex problems. This role involves extensive work with large datasets, including data preprocessing, feature engineering, and model training and evaluation. You will experiment with various ML techniques, conduct deep learning research, and contribute to the advancement of AI capabilities. Key responsibilities include designing, building, and deploying scalable ML systems; staying current with the latest research in AI and ML; and collaborating with data scientists, software engineers, and domain experts to integrate ML solutions into products and services. A strong foundation in mathematics, statistics, and computer science is essential. Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras is required. Expertise in programming languages like Python and familiarity with big data technologies are also crucial. The ideal candidate possesses strong analytical and problem-solving skills, with a passion for innovation and a commitment to pushing the boundaries of AI. Excellent communication and collaboration skills are necessary, as you will work within a distributed team environment. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, along with practical experience in ML model development and deployment, is required. This is an exceptional opportunity to contribute to groundbreaking AI research and development, impacting industries and shaping the future of technology from Malindi, Kilifi, KE .
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Remote Machine Learning Engineer - Computer Vision
Posted 22 days ago
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Job Description
Our client is a pioneering technology firm seeking a talented and innovative Remote Machine Learning Engineer with a specialization in Computer Vision. This is a fully remote position where you will leverage your expertise to develop and deploy cutting-edge computer vision models that power the next generation of our client's products. You will be part of a collaborative, forward-thinking team, contributing to projects that involve image recognition, object detection, video analysis, and more. Your work will be crucial in enhancing our client's capabilities and driving technological advancements.
Responsibilities:
Responsibilities:
- Develop, train, and deploy machine learning models for computer vision tasks, including image classification, object detection, segmentation, and tracking.
- Design and implement efficient data pipelines for collecting, annotating, and pre-processing large image and video datasets.
- Research and experiment with state-of-the-art computer vision algorithms and deep learning architectures.
- Optimize model performance for inference speed and accuracy on various hardware platforms.
- Collaborate with software engineers to integrate ML models into production systems and applications.
- Stay current with the latest research and developments in the field of computer vision and machine learning.
- Write clean, well-documented, and maintainable code in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Evaluate and benchmark model performance, providing insights and recommendations for improvement.
- Participate in code reviews and contribute to technical discussions within the team.
- Contribute to the overall MLOps strategy, including model deployment, monitoring, and maintenance.
- Master's or Ph.D. in Computer Science, Electrical Engineering, AI, or a related field with a focus on computer vision.
- 3+ years of experience in developing and deploying computer vision models.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of computer vision fundamentals, including image processing, feature extraction, and object recognition techniques.
- Experience with deep learning architectures like CNNs, RNNs, and Transformers for vision tasks.
- Familiarity with cloud platforms (AWS, GCP, Azure) and ML services is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with data augmentation, transfer learning, and model optimization techniques.
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