Kenya presents opportunities in the rapidly evolving field of machine learning. Professionals with expertise in algorithms, data analysis, and predictive modeling are sought after across various sectors. Machine learning engineers, 1,807 Machine Learning jobs in Kenya
Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 10 days ago
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Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
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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Junior AI/ML Engineer - Data Science Internship
Posted today
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Job Description
Our client is offering a unique opportunity for ambitious and bright minds to join their innovative team as a Junior AI/ML Engineer through a fully remote internship program. This internship is designed for individuals passionate about artificial intelligence and machine learning, providing hands-on experience in building and deploying intelligent systems. You will work under the guidance of experienced data scientists and engineers, contributing to real-world projects that leverage cutting-edge AI technologies. Your responsibilities will include data cleaning, preprocessing, feature engineering, and assisting in the development and testing of machine learning models. You will gain exposure to various AI domains, including natural language processing, computer vision, and predictive analytics. This role requires a strong foundation in programming, particularly Python, and a solid understanding of fundamental machine learning concepts. Familiarity with libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch is highly desirable. The ideal candidate is currently pursuing or has recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. Excellent analytical and problem-solving skills, coupled with a keen attention to detail, are essential. You should possess strong communication skills and the ability to collaborate effectively within a remote team environment. This internship offers invaluable practical experience, mentorship, and the potential for future career growth within the AI/ML field. We are looking for proactive individuals who are eager to learn, contribute, and apply their academic knowledge to solve challenging problems. Your dedication and enthusiasm will be key to your success and impact during this program. This is more than just an internship; it's a stepping stone into a thriving career in AI. You'll have the chance to work with diverse datasets and cutting-edge tools, all from the comfort of your home office. We encourage applications from all backgrounds who meet the qualifications.
Key Responsibilities:
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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Lead AI/ML Engineer - Computer Vision
Posted 17 days ago
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Job Description
Our client is seeking a highly skilled and innovative Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge research and development team. This is a fully remote position offering the opportunity to work on groundbreaking projects at the forefront of artificial intelligence. The ideal candidate will possess a strong foundation in machine learning, deep learning, and extensive experience in developing and deploying computer vision models.
Responsibilities:
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/ML Engineer (Computer Vision)
Posted 24 days ago
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Job Description
Our client, a leading innovator in applied artificial intelligence and machine learning, is seeking a highly experienced and visionary Principal AI/ML Engineer with a specialization in Computer Vision to join their cutting-edge and fully remote research and development team. This senior role is critical for advancing our capabilities in areas such as image recognition, object detection, video analysis, and augmented reality. You will be responsible for designing, developing, and deploying state-of-the-art AI models and algorithms that solve complex real-world problems.
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:
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.
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3
AI/ML Research Scientist (Computer Vision)
Posted 23 days ago
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Job Description
Our client is seeking a brilliant and innovative AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements from the comfort of your home office. You will be at the forefront of developing novel algorithms and models for image recognition, object detection, and scene understanding. Your work will involve exploring state-of-the-art deep learning techniques, conducting rigorous experiments, and publishing research findings in leading AI conferences and journals. This role is ideal for a passionate researcher with a strong theoretical background and practical implementation skills.
Key responsibilities include:
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
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4
Senior AI Research Scientist - Deep Learning & Computer Vision
Posted 10 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning and Computer Vision to join their pioneering team. This is a fully remote, impactful role where you will be at the forefront of developing next-generation AI solutions. You will be responsible for conceptualizing, designing, and implementing cutting-edge machine learning models and algorithms, with a particular focus on image recognition, object detection, and video analysis. Your work will directly contribute to innovative projects that push the boundaries of artificial intelligence. This position requires a deep understanding of mathematical principles, statistical modeling, and advanced programming techniques. You will collaborate closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead research initiatives in deep learning, computer vision, and related AI fields.
- Develop and implement novel algorithms for image and video understanding, including segmentation, classification, and tracking.
- Design and train complex neural network architectures (CNNs, RNNs, Transformers, etc.) using frameworks like TensorFlow, PyTorch, or JAX.
- Evaluate and optimize model performance, ensuring robustness and scalability for real-world deployment.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Collaborate with engineering teams to integrate AI models into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to a collaborative research environment.
- Work remotely, leveraging communication and collaboration tools to maintain high levels of productivity and team synergy. The opportunity to work from your preferred location within Bungoma, Bungoma, KE is provided with this role.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record in computer vision and deep learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Solid understanding of linear algebra, calculus, probability, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed training is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and as part of a remote team.
This advertiser has chosen not to accept applicants from your region.
5
Lead AI/ML Engineer (Deep Learning)
Posted 24 days ago
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Job Description
Our client is at the forefront of innovation and is seeking an exceptional Lead AI/ML Engineer specializing in Deep Learning to join their pioneering team. This is a fully remote position, offering the opportunity to work from anywhere within Kenya and contribute to groundbreaking advancements. The Lead AI/ML Engineer will be instrumental in designing, developing, and deploying state-of-the-art machine learning models and artificial intelligence solutions. You will lead the technical direction for deep learning projects, mentor junior engineers, and collaborate with product managers and data scientists to translate business requirements into scalable AI systems. Responsibilities include building and optimizing neural networks, developing robust data pipelines, implementing MLOps best practices, and evaluating model performance. The ideal candidate will possess a strong theoretical understanding of machine learning algorithms, extensive hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and a proven ability to deliver complex AI solutions in production environments. This role demands exceptional problem-solving skills, a passion for cutting-edge technology, and the ability to thrive in a fast-paced, remote-first setting.
Responsibilities:
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.
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6
Senior AI/ML Engineer (Computer Vision)
Posted 16 days ago
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Job Description
Our client, a pioneering firm at the forefront of AI and Emerging Technologies, is seeking a highly skilled Senior AI/ML Engineer specializing in Computer Vision to join their innovative and fully remote team. This critical role will involve designing, developing, and deploying cutting-edge computer vision models and solutions that address complex real-world challenges. The ideal candidate will possess a deep theoretical understanding of machine learning principles, practical experience with state-of-the-art CV algorithms, and a passion for pushing the boundaries of artificial intelligence.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, train, and evaluate advanced computer vision models for tasks such as object detection, image segmentation, facial recognition, and 3D reconstruction.
- Implement and optimize deep learning architectures (e.g., CNNs, GANs) using frameworks like TensorFlow, PyTorch, or Keras.
- Process and analyze large-scale image and video datasets, ensuring data quality and integrity.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver impactful AI solutions.
- Stay abreast of the latest research and advancements in computer vision and machine learning, incorporating new techniques into development processes.
- Deploy and integrate AI models into production environments, ensuring scalability, performance, and reliability.
- Develop robust data augmentation strategies to improve model generalization and performance.
- Conduct experiments, benchmark different approaches, and document findings thoroughly.
- Contribute to the development of intellectual property through research and innovation.
- Mentor junior AI/ML engineers and share expertise within the team.
- Write clean, efficient, and well-documented code for ML pipelines and model deployment.
- Ensure ethical considerations and bias mitigation are addressed in AI model development.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of hands-on experience in developing and deploying computer vision models in production environments.
- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- In-depth knowledge of classical computer vision algorithms and modern deep learning techniques.
- Experience with libraries such as OpenCV, scikit-image, NumPy, and Pandas.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving skills and the ability to tackle complex technical challenges.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
- Proven ability to work independently and thrive in a fast-paced, remote team environment.
- Experience with data annotation tools and strategies for large-scale datasets.
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7
Remote AI/ML Engineer (Computer Vision)
Posted 16 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is looking for a brilliant and motivated Remote AI/ML Engineer with a strong specialization in Computer Vision to join their groundbreaking research and development team. In this fully remote role, you will contribute to the design, development, and deployment of cutting-edge AI models that power next-generation solutions. You will work with large datasets, advanced algorithms, and state-of-the-art tools to push the boundaries of what's possible in computer vision.
Key Responsibilities:
Key Responsibilities:
- Design, train, and evaluate machine learning models, with a primary focus on computer vision tasks such as object detection, image segmentation, and facial recognition.
- Develop and implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
- Process and preprocess large-scale image and video datasets for model training.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Conduct research into new AI and computer vision techniques, evaluating their potential application.
- Optimize model performance for efficiency, accuracy, and scalability.
- Write clean, well-documented, and maintainable code in Python or other relevant languages.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research.
- Participate in code reviews and contribute to team discussions on technical strategy.
- Document findings, methodologies, and results effectively for both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying computer vision models in real-world applications.
- Proficiency with major deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong programming skills in Python, including libraries like NumPy, Pandas, and OpenCV.
- Solid understanding of classical computer vision algorithms and techniques.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Ability to work independently, manage research projects, and meet deadlines effectively.
- A passion for innovation and a drive to contribute to impactful AI solutions.
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8
Senior AI/ML Engineer - Deep Learning
Posted 13 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Deep Learning to join their cutting-edge research and development team. This fully remote position offers the opportunity to work on groundbreaking projects, pushing the boundaries of artificial intelligence. The ideal candidate will possess a deep understanding of machine learning algorithms, statistical modeling, and advanced programming skills, with a proven ability to design, develop, and deploy sophisticated deep learning models. You will contribute to solving complex problems and driving innovation through AI.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced deep learning models for various applications.
- Conduct research into state-of-the-art AI/ML techniques and identify opportunities for their application.
- Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
- Process, clean, and analyze large datasets to train and evaluate machine learning models.
- Optimize model performance for efficiency, accuracy, and scalability.
- Deploy machine learning models into production environments, working closely with software engineering teams.
- Monitor and maintain deployed models, making necessary updates and improvements.
- Stay abreast of the latest advancements in AI, deep learning, and related fields.
- Document research findings, model architectures, and implementation details.
- Mentor junior AI/ML engineers and contribute to the team's knowledge base.
- Present technical findings and project updates to both technical and non-technical audiences.
- Ensure responsible and ethical AI development practices are followed.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying deep learning models.
- Proficiency in programming languages such as Python, and expertise in ML libraries like TensorFlow, PyTorch, or Keras.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML model development and deployment.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, comfortable working in a fully remote team environment.
- Experience with MLOps principles and practices is a plus.
- Publications in top-tier AI conferences or journals are highly regarded.
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