849 AI Solutions jobs in Kenya
AI Solutions Architect
Posted today
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Job Description
Key Responsibilities:
- Design and architect scalable, secure, and reliable AI and machine learning solutions that address complex business problems.
- Evaluate and select appropriate AI technologies, tools, and platforms, including cloud-based AI services (AWS SageMaker, Azure ML, Google AI Platform).
- Develop proof-of-concepts (POCs) and prototypes to demonstrate the feasibility and value of AI solutions.
- Collaborate with data scientists, engineers, and business stakeholders to translate business requirements into technical AI architectures.
- Provide technical leadership and guidance throughout the AI project lifecycle, from ideation to deployment and ongoing optimization.
- Ensure AI solutions are aligned with data governance, privacy, and ethical AI principles.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related emerging technologies.
- Develop and maintain architectural documentation, roadmaps, and best practices for AI development and deployment.
- Evaluate and integrate third-party AI solutions and APIs.
- Educate and mentor teams on AI concepts and best practices.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in software architecture, with at least 4 years focused on designing and implementing AI/ML solutions.
- Proven experience with various AI/ML algorithms, frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and MLOps practices.
- Strong understanding of cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
- Expertise in data modeling, data pipelines, and big data technologies.
- Excellent understanding of software development principles, system design, and architectural patterns.
- Strong analytical and problem-solving skills, with the ability to think strategically.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience in leading technical teams and driving innovation.
AI Solutions Architect
Posted today
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Job Description
AI Solutions Architect
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect scalable and robust AI/ML solutions for various business needs.
- Evaluate and recommend appropriate AI technologies, frameworks, and tools.
- Develop high-level technical designs for AI models, algorithms, and data pipelines.
- Collaborate with data scientists and engineers to implement and deploy AI solutions.
- Assess the feasibility of AI projects and provide technical guidance.
- Ensure AI solutions adhere to best practices in security, privacy, and ethical AI.
- Stay current with advancements in AI, machine learning, and emerging technologies.
- Communicate technical concepts and solutions to both technical and non-technical stakeholders.
- Lead technical discussions and provide architectural direction for AI projects.
- Contribute to the development of reusable AI components and frameworks.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in software engineering, with at least 4 years focused on AI/ML architecture and development.
- Extensive experience with AI/ML concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Proficiency with cloud platforms such as AWS, Azure, or GCP for AI/ML workloads.
- Strong understanding of data engineering, big data technologies, and MLOps principles.
- Excellent architectural design, problem-solving, and analytical skills.
- Strong communication, presentation, and client-facing skills.
- Ability to work independently and lead technical initiatives in a remote environment.
- Experience with emerging technologies like generative AI and reinforcement learning is a plus.
AI Solutions Architect
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Design end-to-end AI/ML solutions, from data ingestion and preprocessing to model training, deployment, and monitoring.
- Evaluate and select appropriate AI/ML algorithms, frameworks, and tools for specific business problems.
- Develop technical roadmaps for AI initiatives and ensure alignment with business objectives.
- Collaborate with data scientists and engineers to build, test, and deploy AI models.
- Architect scalable and resilient cloud-based AI infrastructure.
- Provide technical leadership and guidance on AI best practices, including MLOps.
- Translate business needs into technical requirements and create detailed architectural designs.
- Identify and integrate third-party AI services and platforms where appropriate.
- Stay abreast of the latest advancements in AI, machine learning, and related technologies.
- Document architectural designs, decision rationale, and implementation details.
- Present AI strategies and solutions to both technical and non-technical audiences.
- 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.
- Minimum of 5 years of experience in designing and implementing AI/ML solutions.
- Deep understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.
- Proven experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong knowledge of data engineering principles and tools.
- Experience with MLOps practices and tools for model deployment and lifecycle management.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Experience in architecting large-scale AI systems.
- Familiarity with data visualization tools and techniques.
This is a fully remote opportunity for an AI Solutions Architect to shape the future of AI for our client, impacting innovative projects based out of Nakuru, Nakuru, KE . Our client champions a forward-thinking and collaborative remote work culture.
AI Solutions Architect
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design and architect end-to-end AI and machine learning solutions.
- Evaluate and select appropriate AI technologies, frameworks, and platforms.
- Collaborate with data scientists to develop and deploy ML models.
- Define AI strategy and roadmap in alignment with business goals.
- Ensure scalability, security, and performance of AI systems.
- Provide technical leadership and guidance to AI development teams.
- Translate business problems into technical AI requirements.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Develop and maintain documentation for AI architectures and solutions.
- Present AI solutions and strategies to stakeholders and leadership.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience as an AI Solutions Architect or in a similar technical leadership role.
- Deep understanding of machine learning, deep learning, NLP, and computer vision.
- Experience with cloud AI platforms (AWS SageMaker, Azure ML, Google AI Platform).
- Proficiency in programming languages like Python, Java, or C++.
- Strong knowledge of ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Excellent analytical, problem-solving, and architectural design skills.
- Exceptional communication and presentation abilities.
- Experience working in a hybrid or agile development environment.
- Ability to lead technical teams and manage complex projects.
AI Solutions Architect
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end AI and machine learning solutions for clients.
- Collaborate with clients and internal teams to understand business requirements and translate them into technical specifications.
- Select appropriate AI/ML models, algorithms, and technologies for specific use cases.
- Oversee the development, implementation, and deployment of AI solutions.
- Ensure the scalability, security, and performance of AI systems.
- Evaluate and integrate new AI technologies and emerging trends.
- Provide technical leadership and guidance to data scientists and engineers.
- Develop proof-of-concepts and demonstrations of AI capabilities.
- Ensure ethical considerations and data privacy are addressed in AI solutions.
- Create comprehensive documentation for AI architectures and implementations.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7-10 years of experience in AI, machine learning, and deep learning.
- Proven experience in designing and implementing complex AI solutions in a cloud environment (AWS, Azure, GCP).
- Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in programming languages such as Python.
- Experience with MLOps practices and tools.
- Excellent analytical, problem-solving, and architectural design skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts.
- Experience working in a remote, collaborative environment.
AI Solutions Architect
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end AI/ML solutions, encompassing data ingestion, model training, deployment, and monitoring.
- Collaborate with business stakeholders to understand their needs and identify opportunities for AI-driven solutions.
- Evaluate and recommend appropriate AI/ML algorithms, tools, and technologies for specific use cases.
- Develop proof-of-concepts (PoCs) and prototypes to validate AI solution designs.
- Guide and mentor engineering teams throughout the development and implementation phases of AI projects.
- Ensure AI solutions are scalable, secure, reliable, and maintainable.
- Stay abreast of the latest research, trends, and advancements in artificial intelligence and machine learning.
- Translate complex technical concepts into clear, concise explanations for both technical and non-technical audiences.
- Contribute to the development of reusable AI components and frameworks.
- Assess and advise on the ethical implications and potential biases of AI systems.
- Work with cloud infrastructure teams to ensure seamless deployment and operation of AI models.
- Drive innovation by exploring new and emerging AI technologies and their potential applications.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- Minimum of 8 years of experience in software engineering, with a strong focus on AI/ML development and architecture for at least 5 years.
- Proven experience in designing and deploying machine learning models in production environments.
- Deep understanding of various AI/ML techniques (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages such as Python, and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong data engineering and database skills.
- Excellent analytical, problem-solving, and strategic thinking abilities.
- Exceptional communication, presentation, and stakeholder management skills.
- Experience with agile methodologies and a hybrid work environment.
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AI Solutions Architect
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design and architect end-to-end AI/ML solutions, from data ingestion and preprocessing to model deployment and monitoring.
- Select appropriate AI/ML algorithms, frameworks, and tools based on project requirements.
- Develop robust data pipelines and ensure data quality for model training and inference.
- Collaborate with data scientists, software engineers, and business stakeholders to define project scope and deliverables.
- Evaluate and integrate third-party AI services and platforms.
- Ensure the scalability, reliability, and security of AI solutions.
- Provide technical guidance and mentorship to AI/ML engineers and data scientists.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Document architectural decisions, design patterns, and best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development and solution architecture.
- Proven expertise in designing and deploying machine learning models in production environments.
- Strong understanding of various AI/ML techniques, including deep learning, NLP, and computer vision.
- Proficiency with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn.
- Solid knowledge of data engineering principles and big data technologies.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a fully remote, collaborative team environment.
This is an exceptional opportunity for a forward-thinking AI expert to drive innovation and impact within a leading technology organization, all while enjoying the flexibility of a remote role.
AI Solutions Architect
Posted 2 days ago
Job Viewed
Job Description
- Design and architect end-to-end AI/ML solutions that address specific business challenges.
- Evaluate and select appropriate AI/ML tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, scikit-learn, cloud AI services).
- Develop proof-of-concepts and prototypes to demonstrate the feasibility of AI solutions.
- Collaborate with data scientists, engineers, and product managers to implement and deploy AI models.
- Provide technical guidance and mentorship to development teams.
- Assess existing infrastructure and recommend strategies for AI adoption and integration.
- Ensure AI solutions are scalable, reliable, secure, and meet performance requirements.
- Stay abreast of the latest advancements in AI, machine learning, and related technologies.
- Translate complex business problems into technical AI requirements.
- Develop documentation for AI architectures and solutions.
- Participate in code reviews and architectural discussions.
- Contribute to the company's AI strategy and roadmap.
- Troubleshoot and resolve issues related to AI system performance and deployment.
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of experience in AI/ML development or architecture.
- Proven experience designing and implementing AI/ML solutions in a production environment.
- Deep understanding of machine learning algorithms, deep learning architectures, and NLP techniques.
- Hands-on experience with major AI/ML frameworks and libraries.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong programming skills in languages such as Python, Java, or C++.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate technical concepts clearly.
- Experience with data engineering and MLOps practices is a plus.
- Ability to work effectively in a hybrid team environment.
- Experience in areas like computer vision or reinforcement learning is an advantage.
AI Solutions Architect
Posted 2 days ago
Job Viewed