1,834 AI Architect jobs in Kenya
AI Solutions Architect - Machine Learning
Posted 19 days ago
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Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML development and solutions architecture.
- Extensive experience with machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages such as Python, R, and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of MLOps principles and tools for model deployment and management.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Superb communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Proven ability to lead and mentor technical teams in a remote setting.
- Experience with data engineering and big data technologies is a plus.
Lead AI Architect - Machine Learning Solutions
Posted 19 days ago
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Key responsibilities include defining the AI strategy, selecting appropriate algorithms and frameworks, and architecting robust data pipelines. You will collaborate closely with product managers and business stakeholders to understand requirements and translate them into technical specifications. This role demands strong expertise in machine learning principles, statistical modeling, and proficiency in programming languages like Python and associated libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is essential. You will also be tasked with staying abreast of the latest advancements in AI research and applying them to develop novel solutions. The Lead AI Architect will play a crucial role in mentoring team members, conducting code reviews, and promoting best practices in AI development. This is a remote-first role, requiring excellent communication, collaboration, and leadership skills to effectively manage a distributed team. A PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, along with a minimum of 8 years of experience in AI/ML development and architecture, is required. Experience in building and deploying production-level AI systems is a must. This role will involve engaging with clients and projects impacting the **Machakos, Machakos, KE** region, with the work conducted remotely.
Lead AI Solutions Architect - Machine Learning
Posted today
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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.
AI Solutions Architect, Machine Learning Platforms
Posted 10 days ago
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Lead AI Solutions Architect - Machine Learning & Data Science
Posted 11 days ago
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Job Description
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.
Lead AI Solutions Architect - Machine Learning Platforms
Posted 19 days ago
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Responsibilities:
- Design and architect scalable and robust Machine Learning Platforms and MLOps pipelines.
- Lead the selection and integration of cloud services and ML tools.
- Define best practices for model training, deployment, and monitoring.
- Develop strategies for data governance and security within ML environments.
- Collaborate with data scientists and ML engineers to understand their needs and provide architectural solutions.
- Oversee the implementation of CI/CD for ML models.
- Ensure the reliability, performance, and cost-effectiveness of ML infrastructure.
- Mentor junior architects and engineers.
- Stay current with advancements in AI, ML, and cloud technologies.
- Drive innovation in ML platform architecture and tooling.
- Master's degree in Computer Science, Engineering, or a related technical field.
- 10+ years of experience in software architecture, with a significant focus on AI/ML platforms and cloud infrastructure.
- Proven experience designing and deploying end-to-end ML solutions on cloud platforms (AWS, Azure, GCP).
- Expertise in containerization (Docker) and orchestration (Kubernetes).
- Strong understanding of MLOps principles and tools.
- Proficiency with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data engineering and big data technologies.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work effectively and drive projects in a remote team environment.
- Strong understanding of software development best practices and agile methodologies.
This fully remote role is crucial for enabling our client's advancements in AI and machine learning, ensuring they have the foundational platforms to succeed.
Senior AI Solutions Architect - Machine Learning
Posted 9 days ago
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Key responsibilities will include:
- Designing end-to-end AI and Machine Learning solutions, from data ingestion and preprocessing to model deployment and monitoring.
- Architecting scalable and resilient cloud-based AI platforms (e.g., AWS, Azure, GCP).
- Selecting appropriate ML algorithms, frameworks, and tools for specific use cases.
- Developing proof-of-concepts (PoCs) and prototypes to validate AI solution designs.
- Collaborating with data scientists to operationalize ML models into production environments.
- Defining MLOps strategies and best practices for CI/CD, model versioning, and performance management.
- Ensuring AI solutions are secure, compliant, and adhere to ethical AI principles.
- Providing technical leadership and guidance to development teams throughout the solution lifecycle.
- Evaluating emerging AI technologies and recommending their adoption where appropriate.
- Communicating complex technical concepts and solutions to both technical and non-technical audiences.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of experience in AI/ML development, with at least 3 years in a Solutions Architect or Lead Engineer role, is required. Proven experience in designing and deploying large-scale ML models in cloud environments is essential. Deep understanding of various ML techniques (e.g., deep learning, NLP, computer vision), algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is critical. Proficiency in cloud platforms (AWS, Azure, GCP) and related AI/ML services is necessary. Strong programming skills in Python and experience with MLOps practices are highly desirable. Excellent problem-solving, communication, and stakeholder management skills are crucial for success in this remote role. This fully remote position allows you to drive AI innovation from your chosen location in Kenya, contributing to advanced technological development for **Mlolongo, Machakos, KE**.
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AI Solutions Architect - Computer Vision
Posted 19 days ago
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Responsibilities:
- Design and architect end-to-end AI solutions, with a primary focus on computer vision applications, including image recognition, object detection, and video analysis.
- Translate business requirements into technical specifications and AI models, ensuring feasibility and scalability.
- Select and implement appropriate machine learning frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, OpenCV).
- Develop, train, and optimize deep learning models for various computer vision tasks.
- Collaborate with data scientists and engineers to curate and pre-process large datasets for model training.
- Deploy AI models into production environments, ensuring robust performance, reliability, and efficiency.
- Evaluate and integrate new AI technologies and methodologies to enhance existing solutions and develop new capabilities.
- Provide technical leadership and guidance to development teams throughout the AI lifecycle.
- Stay abreast of the latest research and advancements in AI, particularly in computer vision and related fields.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Contribute to the company's intellectual property through research and development efforts.
- Work effectively in a fully remote, agile environment, contributing to code reviews and team discussions.
Remote AI/ML Solutions Architect - Computer Vision
Posted 4 days ago
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Job Description
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.
Senior AI Solutions Architect - Computer Vision
Posted 8 days ago
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