1522 Computer Science jobs in Nairobi
Machine Learning Engineer - Computer Vision
Posted 17 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 - Computer Vision
Posted 2 days ago
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Job Description
Our client is looking for a Principal Machine Learning Engineer with a specialization in Computer Vision to join our dynamic research and development team. This role is critical for pushing the boundaries of our visual intelligence capabilities. You will lead the design, development, and deployment of advanced machine learning models for image and video analysis, object detection, recognition, and scene understanding. Working closely with a team of talented researchers and engineers, you will tackle complex problems, contribute to innovative product features, and mentor junior engineers. The ideal candidate will possess a deep theoretical understanding of deep learning architectures (CNNs, Transformers, GANs), extensive practical experience in implementing and optimizing these models, and a strong track record in deploying ML solutions to production environments. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Keras is essential. You will be expected to stay at the forefront of computer vision research, evaluate new techniques, and apply them to solve real-world challenges. This position requires excellent analytical, problem-solving, and communication skills, as well as the ability to work effectively in a collaborative, fast-paced environment. A Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related quantitative field, combined with significant industry experience, is highly desirable.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the research, design, and development of state-of-the-art computer vision models.
- Implement and optimize deep learning algorithms for image and video processing tasks.
- Develop and deploy production-ready machine learning pipelines.
- Conduct experiments, analyze results, and iterate on model performance.
- Collaborate with cross-functional teams to define project requirements and deliver solutions.
- Mentor junior machine learning engineers and researchers.
- Stay current with the latest advancements in computer vision and ML research.
- Evaluate and integrate new tools, technologies, and methodologies.
- Present findings and research to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related quantitative field.
- 7+ years of experience in machine learning engineering, with a strong focus on computer vision.
- Deep understanding of deep learning concepts and architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras, OpenCV).
- Experience with model optimization, deployment, and MLOps.
- Strong background in linear algebra, calculus, and probability.
- Experience with large-scale datasets and distributed training.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Demonstrated ability to lead technical projects and mentor teams.
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Principal AI Engineer - Machine Learning
Posted 9 days ago
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Job Description
Our client, a cutting-edge technology firm, is looking for a Principal AI Engineer with extensive expertise in machine learning and deep learning. This is a fully remote position, offering the flexibility to contribute to groundbreaking AI projects from anywhere in Kenya. You will lead the design, development, and deployment of advanced AI models and solutions, driving innovation across various applications. This role requires a deep theoretical understanding of AI concepts, hands-on experience with large-scale data, and the ability to mentor other engineers.
Key Responsibilities:
Key Responsibilities:
- Lead the research, design, and implementation of sophisticated machine learning models and algorithms.
- Develop and deploy AI-powered applications and systems that solve complex business problems.
- Work with large datasets, ensuring data quality, preprocessing, and feature engineering.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for model development and optimization.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
- Mentor junior AI engineers, providing technical guidance and support.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Evaluate and select appropriate AI technologies and tools for project needs.
- Develop and implement MLOps strategies for model deployment, monitoring, and maintenance.
- Conduct experiments and fine-tune models for optimal performance and accuracy.
- Communicate complex technical concepts to both technical and non-technical audiences.
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Remote Machine Learning Engineer - Computer Vision
Posted 18 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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Lead AI Engineer - Machine Learning Innovation
Posted 10 days ago
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Job Description
Our client, a leader in applied artificial intelligence, is looking for an exceptional Lead AI Engineer to spearhead innovative machine learning projects. This is a fully remote position, offering the chance to work on cutting-edge AI solutions from anywhere. You will be responsible for the end-to-end development of machine learning models, from data acquisition and preprocessing to model training, deployment, and monitoring. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, coupled with significant experience in building and deploying sophisticated AI systems. Expertise in deep learning frameworks such as TensorFlow or PyTorch, proficiency in Python, and a strong understanding of natural language processing (NLP) or computer vision are essential. You will lead a team of talented engineers, mentor junior members, and collaborate with cross-functional teams to identify opportunities for AI integration and optimization. Key responsibilities include researching and implementing novel algorithms, designing scalable ML pipelines, and ensuring the robustness and ethical deployment of AI solutions. This role requires a proactive mindset, excellent problem-solving skills, and the ability to communicate complex technical concepts to both technical and non-technical audiences. The ability to drive projects from concept to production in a remote-first environment is critical. While the role is remote, the focus is on developing AI solutions that can impact various sectors, potentially including those in coastal regions like Mombasa . We are seeking a visionary leader who can inspire innovation and deliver tangible business value through advanced AI technologies.
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Lead Machine Learning Engineer - Scalable AI Solutions
Posted 2 days ago
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Job Description
Our client is revolutionizing the AI landscape and seeks an exceptional Lead Machine Learning Engineer to drive the development of scalable and sophisticated AI solutions. This fully remote role requires a deep expertise in designing, building, and deploying machine learning models that solve complex business problems. You will lead a team of talented engineers, mentor junior members, and set the technical direction for ML projects. Responsibilities include architecting robust ML pipelines, optimizing model performance, implementing MLOps best practices, and ensuring the seamless integration of AI systems into production environments. The ideal candidate will have a strong background in computer science, machine learning, or a related quantitative field, with extensive hands-on experience in developing and deploying ML models in real-world applications. Proficiency in programming languages like Python, and ML frameworks such as TensorFlow or PyTorch, is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly valued. You must possess outstanding problem-solving skills, a passion for innovation, and the ability to work collaboratively and autonomously in a remote setting. This role offers the chance to work on cutting-edge AI technologies, tackle challenging technical problems, and make a significant impact on the future of artificial intelligence. We are looking for a forward-thinking leader who can inspire a team and deliver high-quality, performant machine learning solutions from anywhere.
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5
Principal AI Engineer, Machine Learning Operations
Posted 9 days ago
Job Viewed
Job Description
Our client, a leading-edge technology firm at the forefront of AI innovation, is seeking a highly experienced Principal AI Engineer specializing in Machine Learning Operations (MLOps) to join their fully remote team. This pivotal role will be responsible for designing, building, and maintaining robust, scalable, and efficient AI/ML pipelines and infrastructure. You will be instrumental in streamlining the entire machine learning lifecycle, from data preprocessing and model training to deployment and monitoring, enabling rapid iteration and deployment of AI solutions.
Responsibilities:
Responsibilities:
- Design, implement, and manage end-to-end MLOps pipelines for automated model training, deployment, and monitoring.
- Develop and maintain infrastructure for managing large-scale datasets and machine learning models.
- Implement CI/CD practices for machine learning models, ensuring efficient and reliable deployment.
- Monitor model performance in production, identify issues, and implement solutions for retraining and optimization.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Develop and manage cloud-based ML platforms and services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
- Implement best practices for model versioning, experiment tracking, and reproducibility.
- Ensure the scalability, reliability, and security of AI/ML infrastructure.
- Contribute to the architectural design of AI systems and platforms.
- Stay abreast of the latest advancements in MLOps, machine learning, and cloud technologies.
- Mentor junior engineers and contribute to the technical vision of the AI team.
- Develop and maintain comprehensive documentation for MLOps processes and infrastructure.
- Master's or Ph.D. in Computer Science, Engineering, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in software engineering or machine learning, with at least 3 years focused on MLOps.
- Proven expertise in building and managing ML pipelines using tools like Kubeflow, MLflow, TFX, or similar.
- Strong proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Extensive experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Deep understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, CircleCI).
- Experience with data engineering, data pipelines, and database management.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and lead technical initiatives in a remote environment.
- Familiarity with distributed systems and big data technologies.
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6
Senior AI Research Engineer - Machine Learning
Posted 10 days ago
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Job Description
Our client, a cutting-edge technology company at the forefront of AI innovation, is seeking an exceptional Senior AI Research Engineer to join their fully remote, global research and development team. This role is dedicated to pushing the boundaries of machine learning and artificial intelligence, focusing on developing and implementing novel algorithms and solutions. You will be instrumental in designing, prototyping, and evaluating AI models for diverse applications, contributing to groundbreaking projects. The ideal candidate possesses a strong academic background in AI/ML, proven experience in developing complex models, and a passion for solving challenging problems using advanced computational techniques. Collaboration with a diverse, distributed team of researchers and engineers will be central to success.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and related AI fields.
- Design, develop, and implement advanced AI algorithms and models for various applications.
- Prototype and experiment with new AI technologies, frameworks, and approaches.
- Analyze and interpret large datasets to train and validate AI models.
- Optimize model performance for scalability, efficiency, and accuracy.
- Collaborate with software engineers to integrate AI models into production systems.
- Stay abreast of the latest advancements in AI research and industry trends.
- Publish research findings in reputable conferences and journals.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Contribute to the intellectual property strategy through invention disclosures and patent applications.
- Evaluate and select appropriate tools, libraries, and platforms for AI development.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Participate in cross-functional team meetings and contribute to strategic planning.
- Develop clear and concise technical documentation for research projects and implemented solutions.
- Present research progress and findings to internal stakeholders and at external forums.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of progressive experience in AI/ML research and development.
- Proven track record of developing and deploying complex machine learning models (e.g., neural networks, NLP, computer vision).
- Expertise in programming languages such as Python, and proficiency with ML frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of statistical modeling, data mining, and algorithm design.
- Experience with big data technologies (e.g., Spark, Hadoop) is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, essential for remote collaboration and disseminating research.
- Ability to work independently, drive research initiatives, and manage projects effectively in a remote setting.
- Experience with cloud computing platforms (AWS, Azure, GCP) for ML workloads is a plus.
- Strong publication record in top-tier AI/ML venues is advantageous.
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7
Lead AI Engineer - Machine Learning Operations (MLOps)
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking an accomplished Lead AI Engineer specializing in Machine Learning Operations (MLOps) to join their dynamic, fully remote team. This role is critical for bridging the gap between AI research and production deployment, ensuring the seamless integration and scalability of machine learning models. You will be instrumental in designing, building, and maintaining the infrastructure and workflows required for efficient ML model development, deployment, monitoring, and retraining. Responsibilities include developing CI/CD pipelines for machine learning, automating model testing and validation, and implementing robust monitoring solutions to track model performance and detect drift. You will work closely with data scientists and software engineers to optimize ML models for production environments, ensuring reliability, scalability, and performance. The ideal candidate will possess a strong background in software engineering and a deep understanding of machine learning principles and lifecycles. A Master's or Ph.D. in Computer Science, AI, or a related quantitative field, combined with at least 6 years of relevant industry experience, is required. Proven experience with MLOps best practices, cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), and infrastructure as code tools (Terraform) is essential. Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn are also necessary. You should have hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, or SageMaker. Excellent problem-solving, communication, and collaboration skills are vital for success in this remote, team-oriented role. Join us in driving AI innovation from **Mombasa, Mombasa, KE**.
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8
Lead AI/ML Engineer (Deep Learning)
Posted 19 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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