1,881 AI Solutions Architect Machine Learning jobs in Kenya
Senior AI Solutions Architect - Computer Vision
Posted 14 days ago
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Remote AI/ML Solutions Architect - Computer Vision
Posted 10 days ago
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Responsibilities:
- Design end-to-end AI/ML solutions, with a strong emphasis on computer vision tasks, for various applications.
- Develop and implement machine learning models, including deep learning architectures (CNNs, RNNs, Transformers), for image and video analysis.
- Optimize model performance for accuracy, efficiency, and scalability using state-of-the-art techniques.
- Architect robust and scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate with data scientists, software engineers, and product managers to define project scope and technical requirements.
- Stay abreast of the latest research and advancements in AI, ML, and computer vision.
- Evaluate and recommend appropriate ML frameworks, tools, and cloud platforms.
- Develop prototypes and proof-of-concepts to demonstrate the viability of proposed solutions.
- Provide technical leadership and guidance on AI/ML best practices and implementation strategies.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Contribute to the development of intellectual property and research publications.
- While the role is fully remote, knowledge of emerging tech landscapes in regions like Kitale, Trans-Nzoia, KE can provide valuable context for potential applications.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in developing and deploying AI/ML solutions, with at least 4 years focused on computer vision.
- Expertise in Python and common ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, OpenCV.
- Proven experience in designing and implementing deep learning models for image and video analysis.
- Strong understanding of data structures, algorithms, and software architecture principles.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Ability to work independently and lead technical initiatives in a remote setting.
This is a career-defining opportunity to shape the future of AI and computer vision from the comfort of your home. If you are passionate about pushing the boundaries of artificial intelligence, we encourage you to apply.
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Lead AI Solutions Architect - Machine Learning & Data Science
Posted 17 days ago
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Responsibilities:
- Designing end-to-end AI and machine learning solutions to address complex business challenges.
- Architecting scalable and robust ML pipelines for data processing, model training, and deployment.
- Leading the development and implementation of predictive models, NLP systems, and computer vision applications.
- Evaluating and selecting appropriate AI technologies, frameworks, and cloud services.
- Collaborating with data scientists and engineers to ensure efficient and effective solution delivery.
- Providing technical leadership and guidance to AI/ML teams.
- Communicating complex technical concepts to non-technical stakeholders.
- Staying current with the latest research and advancements in AI and machine learning.
- Minimum of 8 years of experience in AI, machine learning, or data science, with 3+ years in an architect or lead role.
- M.Sc. or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field; M.Sc. required.
- Extensive experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Expertise in Python or R, and deep learning frameworks (TensorFlow, PyTorch).
- Proven ability to design and deploy production-level AI solutions.
- Strong understanding of various machine learning algorithms and data science methodologies.
- Excellent leadership, communication, and problem-solving skills.
- Ability to thrive in a dynamic, remote work environment.
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AI Solutions Architect - Machine Learning
Posted 3 days ago
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Responsibilities:
- Design and architect end-to-end AI/ML solutions, from data ingestion to model deployment and monitoring.
- Collaborate with business stakeholders to understand requirements and translate them into technical specifications.
- Select appropriate ML algorithms and frameworks for various use cases.
- Develop and optimize data pipelines for training and inference.
- Implement and manage MLOps best practices for continuous integration, delivery, and deployment.
- Evaluate and recommend cloud-based AI/ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Build proof-of-concepts and prototypes to demonstrate the feasibility of AI solutions.
- Provide technical guidance and mentorship to data scientists and engineers.
- Ensure the scalability, reliability, and security of deployed AI systems.
- Stay current with the latest advancements in AI, machine learning, and deep learning.
- Document architectural designs, technical specifications, and best practices.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Contribute to the development of AI strategy and roadmap.
- Troubleshoot and resolve issues in production AI/ML environments.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, AI, or a related quantitative field.
- 5+ years of experience in designing and implementing AI/ML solutions.
- Strong expertise in machine learning algorithms (supervised, unsupervised, deep learning) and statistical modeling.
- Proficiency in programming languages such as Python, R, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Solid understanding of data engineering, MLOps, and CI/CD pipelines.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience in a remote work environment is essential.
- Ability to work independently and lead technical initiatives.
- Familiarity with big data technologies (e.g., Spark) is a plus.
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Lead AI Solutions Architect - Machine Learning
Posted 6 days ago
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Your responsibilities will encompass leading the design and development of end-to-end AI/ML solutions, from data ingestion and preprocessing to model training, deployment, and monitoring; evaluating and selecting appropriate AI/ML technologies, frameworks, and tools; collaborating closely with data scientists, engineers, and product managers to build robust and scalable AI systems; defining best practices for AI development, MLOps, and data governance; mentoring junior team members and fostering a culture of innovation; staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields; and presenting technical strategies and solutions to both technical and non-technical stakeholders. You will play a key role in shaping the future of AI within our client's organization, driving impactful projects that leverage artificial intelligence. This role offers the flexibility to work from anywhere, though many team members originate from or have connections to major tech hubs like Nairobi, Nairobi, KE .
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 7+ years of experience in AI/ML, with a significant portion focused on solution architecture and design.
- Proven track record of designing, building, and deploying complex ML models in production environments (e.g., for natural language processing, computer vision, predictive analytics).
- Expertise in programming languages such as Python, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Experience with MLOps principles and tools for continuous integration, delivery, and monitoring of ML models.
- Excellent communication, presentation, and leadership skills.
- Ability to architect scalable, reliable, and secure AI systems.
- Experience in leading technical teams and driving project success in a remote setting.
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AI Solutions Architect, Machine Learning Platforms
Posted 16 days ago
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Senior AI Solutions Architect - Machine Learning
Posted 9 days ago
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Key Responsibilities:
- Design and architect scalable AI/ML solutions.
- Develop and implement end-to-end machine learning pipelines.
- Select appropriate ML algorithms and frameworks.
- Oversee model training, evaluation, and deployment.
- Implement MLOps practices for production AI systems.
- Collaborate with data scientists and engineers.
- Evaluate and integrate new AI technologies.
- Ensure the performance and reliability of AI solutions.
- Communicate technical strategies to stakeholders.
- Stay current with AI/ML research and industry trends.
- Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
- Minimum of 6 years of experience in AI/ML engineering or solution architecture.
- Proven experience designing and implementing production-grade ML models.
- Strong knowledge of ML algorithms, deep learning frameworks (TensorFlow, PyTorch), and libraries (Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages such as Python.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and MLOps.
- Excellent analytical, problem-solving, and communication skills.
- Ability to lead technical discussions and mentor junior team members.
- Experience working in a remote, collaborative environment.
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AI Solutions Architect & Machine Learning Strategist
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AI Solutions Architect (Generative AI)
Posted 5 days ago
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Lead AI Solutions Architect - Generative AI & NLP
Posted 16 days ago
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Responsibilities:
- Lead the architectural design and development of AI solutions, focusing on Generative AI, NLP, and machine learning models.
- Translate business requirements into technical specifications and scalable AI system designs.
- Develop and implement robust, efficient, and production-ready AI algorithms and pipelines.
- Evaluate and select appropriate AI technologies, frameworks, and tools for specific project needs.
- Collaborate with data scientists, ML engineers, and software developers to deploy and integrate AI solutions.
- Mentor and guide junior AI engineers and researchers.
- Stay at the forefront of AI research and advancements, identifying opportunities for innovation.
- Define best practices for AI development, MLOps, and model lifecycle management.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Ensure the ethical and responsible development and deployment of AI systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML, with a significant focus on Generative AI and NLP.
- Proven experience in designing and architecting complex AI systems.
- Strong programming skills in Python and proficiency with ML frameworks like TensorFlow, PyTorch, or similar.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Deep understanding of state-of-the-art NLP techniques (e.g., transformers, LLMs) and generative models.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to lead technical discussions.
- Experience with large-scale data processing and distributed computing is a plus.
- Published research in top-tier AI conferences is highly valued.
This fully remote role offers the chance to work on groundbreaking AI projects from anywhere, contributing to the future of technology. You will be instrumental in developing solutions that could impact various industries and sectors, potentially influencing advancements in regions such as Naivasha, Nakuru, KE .
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