279 AI Architect jobs in Nairobi
Principal Research Scientist - AI & Machine Learning
Posted 18 days ago
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AI Research Scientist - Machine Learning
Posted 3 days ago
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Principal AI Research Scientist - Machine Learning
Posted 3 days ago
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Machine Learning Engineer - Computer Vision
Posted 17 days ago
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Lead AI/ML Engineer (Deep Learning)
Posted 19 days ago
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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.
Principal Machine Learning Engineer - Computer Vision
Posted 3 days ago
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Job Description
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.
Remote AI Research Scientist - Machine Learning
Posted 19 days ago
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Responsibilities:
- Conduct original research in machine learning, deep learning, and related AI fields.
- Develop and implement novel algorithms and models for AI applications.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large-scale datasets to extract meaningful insights and inform model development.
- Collaborate with other researchers and engineers on joint projects in a virtual setting.
- Publish research findings in leading AI conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the strategic direction of AI research and development efforts.
- Mentor junior researchers and contribute to building a strong research culture.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of research publications in reputable AI conferences and journals.
- Deep expertise in machine learning algorithms, statistical modeling, and deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills, particularly in Python, with experience in relevant libraries (NumPy, SciPy, Pandas).
- Experience with big data technologies and cloud computing platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, comfortable working in a remote, distributed team.
- Ability to work independently, manage research projects, and drive innovation.
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Senior AI Research Scientist (Machine Learning)
Posted 19 days ago
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Key Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Develop and implement novel algorithms and models for AI applications.
- Design and execute experiments to validate research hypotheses and model performance.
- Analyze large datasets to extract insights and identify patterns relevant to AI research.
- Collaborate with other researchers and engineers to advance AI capabilities.
- Publish research findings in leading academic conferences and journals.
- Contribute to the development of AI-powered products and services.
- Stay abreast of the latest advancements and trends in the field of AI and machine learning.
- Mentor junior researchers and interns.
- Translate complex research concepts into practical implementations.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of impactful research and publications in top-tier AI/ML venues.
- Minimum of 7 years of research experience in AI and machine learning.
- Expertise in one or more areas: deep learning, reinforcement learning, natural language processing, computer vision, etc.
- Proficiency in programming languages such as Python.
- Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong understanding of mathematical and statistical foundations of machine learning.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting research and collaborating with teams.
- Ability to work independently and manage research projects effectively in a remote setting.
- Experience with distributed computing frameworks (e.g., Spark) is a plus.
Senior AI/ML Engineer (Computer Vision)
Posted 19 days ago
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Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning and deep learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
- Process, clean, and analyze large-scale image and video datasets.
- Experiment with and evaluate various ML algorithms and architectures.
- Collaborate with software engineers to integrate ML models into production systems.
- Optimize model performance for efficiency, accuracy, and scalability.
- Stay abreast of the latest research and advancements in AI, ML, and computer vision.
- Contribute to the entire ML lifecycle, from data preparation to model deployment and monitoring.
- Develop and maintain robust data pipelines and MLOps practices.
- Write high-quality, maintainable code in Python and relevant ML frameworks.
- Participate in code reviews and provide constructive feedback.
- Present research findings and technical solutions to both technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth.
- Identify opportunities for applying AI/ML to solve business challenges.
- Ensure ethical considerations and fairness are integrated into AI development.
- Document research, experiments, and model performance.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in AI/ML engineering, with a strong focus on computer vision.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, OpenCV.
- Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in vision.
- Experience with data augmentation, transfer learning, and model optimization techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and associated ML services.
- Strong programming skills and experience with software development best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote work.
- Proven ability to work independently and manage complex projects.
- Experience with MLOps tools and practices is highly desirable.
- Publication record in relevant AI/ML conferences or journals is a plus.
Remote AI/ML Engineer - Computer Vision
Posted 19 days ago
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