1,026 AI Solutions Architect Emerging Technologies jobs in Kenya
AI/ML Solutions Architect - Emerging Technologies
Posted 21 days ago
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AI Solutions Architect - Emerging Technologies
Posted 5 days ago
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Key responsibilities include collaborating with stakeholders to understand business requirements, translating them into detailed technical specifications, and architecting end-to-end AI solutions. You will evaluate and select appropriate AI models, algorithms, and platforms, considering factors such as performance, scalability, security, and cost-effectiveness. This role involves designing data pipelines, defining integration strategies, and overseeing the development and deployment phases of AI projects. You will also stay abreast of the latest research and advancements in artificial intelligence, machine learning, deep learning, and other emerging technologies, identifying opportunities for innovation and competitive advantage.
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 a significant portion focused on architecting and delivering complex AI solutions, is required. Proven expertise in various AI domains, including natural language processing (NLP), computer vision, predictive analytics, and reinforcement learning, is essential. Strong proficiency in programming languages such as Python, along with experience with major cloud platforms (AWS, Azure, GCP) and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), is mandatory. Excellent communication, presentation, and interpersonal skills are critical for effectively engaging with technical teams and business leaders in a remote environment. You should be a strategic thinker, a problem-solver, and a passionate advocate for leveraging AI to drive transformative change. This fully remote role offers an exceptional opportunity to shape the future of technology from anywhere, ideal for leading AI professionals located in or near **Ongata Rongai, Kajiado, KE**.
Senior AI Solutions Architect - Emerging Technologies
Posted 14 days ago
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Key Responsibilities:
- Design end-to-end AI/ML solutions, from data ingestion and processing to model training, deployment, and monitoring.
- Evaluate and select appropriate AI/ML algorithms, frameworks, and tools based on project requirements.
- Develop and implement scalable and performant machine learning models for various applications such as natural language processing, computer vision, predictive analytics, and recommendation systems.
- Collaborate with data scientists to optimize model performance and ensure seamless integration into production environments.
- Architect cloud-based AI infrastructure (e.g., AWS SageMaker, Google AI Platform, Azure ML) for training and deploying models.
- Define and implement MLOps best practices for continuous integration, continuous delivery, and automated model retraining.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and other emerging technologies, and identify opportunities for their application.
- Provide technical leadership and guidance to development teams.
- Document architectural designs, technical specifications, and deployment procedures.
- Present technical solutions and strategies to stakeholders at various levels.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development and solutions architecture, with at least 3 years focused on architecting production-grade AI systems.
- Proven expertise in designing and implementing ML models using frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Deep understanding of MLOps principles and tools (e.g., MLflow, Kubeflow).
- Proficiency in programming languages such as Python, Java, or Scala.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience in a remote-first work environment is highly desirable.
- Must have reliable high-speed internet and a dedicated workspace.
This is a permanent, fully remote position. While the technological landscape may touch upon needs originating from the region of Meru, Meru, KE , the role is global and seeks top AI talent.
Remote AI Solutions Architect - Emerging Technologies
Posted 14 days ago
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As a Remote AI Solutions Architect, you will lead the technical vision for AI projects, guiding development teams through the entire lifecycle from conceptualization to deployment. Your responsibilities include evaluating new AI technologies, identifying opportunities for innovation, designing system architectures, and ensuring the security, performance, and scalability of AI solutions. Excellent communication and collaboration skills are essential to effectively engage with clients, stakeholders, and engineering teams in a virtual setting. You must be adept at explaining complex technical concepts to non-technical audiences and influencing strategic decisions. We are looking for a proactive problem-solver with a passion for exploring the frontiers of AI and a proven ability to deliver impactful solutions in a remote-first environment. This role, based conceptually in Mombasa, Mombasa, KE , offers the complete freedom and flexibility of working remotely. If you are an AI pioneer with a drive to shape the future, we invite you to apply.
Key Responsibilities:
- Design and architect scalable AI/ML solutions leveraging emerging technologies.
- Integrate AI models (NLP, Computer Vision, etc.) into complex systems.
- Evaluate and recommend new AI platforms, tools, and frameworks.
- Collaborate with cross-functional teams to define AI project requirements.
- Develop proof-of-concepts and prototypes for innovative AI applications.
- Ensure the performance, security, and scalability of AI solutions.
- Provide technical leadership and guidance to AI development teams.
- Stay abreast of the latest advancements in AI and machine learning research.
- Communicate technical strategies and solutions to clients and stakeholders.
AI Solutions Architect - Emerging Technologies (Remote)
Posted 14 days ago
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Key Responsibilities:
- Design end-to-end AI solutions, encompassing data pipelines, model development, deployment, and monitoring.
- Architect scalable and robust AI systems on cloud platforms (e.g., AWS, Azure, GCP).
- Evaluate and select appropriate AI/ML frameworks, tools, and technologies for specific project requirements.
- Collaborate with data scientists, engineers, and business analysts to define AI project roadmaps and technical specifications.
- Develop proof-of-concepts (POCs) and prototypes to demonstrate the feasibility and value of AI solutions.
- Guide the implementation and integration of AI models into existing business processes and applications.
- Ensure AI solutions are secure, ethical, and compliant with relevant data privacy regulations.
- Stay abreast of the latest advancements in AI, machine learning, and related emerging technologies.
- Provide technical leadership and mentorship to development teams.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML development, with at least 4 years in a solutions architecture or lead technical role.
- Proven experience designing and deploying AI/ML solutions in production environments.
- Deep understanding of various AI/ML techniques, including supervised/unsupervised learning, deep learning, NLP, and computer vision.
- Hands-on experience with major cloud AI services and platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
- Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of data engineering principles and MLOps best practices.
- Excellent problem-solving, analytical, and architectural design skills.
- Exceptional communication and presentation abilities.
- Ability to work independently and lead technical initiatives in a remote setting.
Remote AI/ML Solutions Architect - Computer Vision
Posted 7 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.
Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 8 days ago
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Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
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Lead AI/ML Engineer - Computer Vision
Posted 16 days ago
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Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
- Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
- Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
- Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
- Oversee the data collection, annotation, and preparation process for training computer vision models.
- Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
- Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
- Write high-quality, well-documented code in languages such as Python.
- Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
- Contribute to intellectual property and publish research findings where appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Computer Vision.
- Proven track record of developing and deploying complex computer vision models in production environments.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong knowledge of algorithms, data structures, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with model optimization and deployment strategies is highly desirable.
Principal AI/ML Engineer (Computer Vision)
Posted 22 days ago
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The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
- Lead the design, development, and implementation of advanced computer vision models and algorithms.
- Conduct cutting-edge research in areas such as object detection, segmentation, image classification, and generative models.
- Develop and deploy ML pipelines for training, evaluation, and inference in production environments.
- Optimize model performance for scalability, efficiency, and real-time applications.
- Collaborate with cross-functional teams to define project requirements and technical specifications.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, ML, and computer vision research and industry trends.
- Contribute to the company's intellectual property through patents and publications.
- Design and conduct experiments to validate new approaches and algorithms.
- Troubleshoot and resolve complex technical challenges in AI/ML systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 8 years of professional experience in AI/ML engineering, with a significant focus on computer vision.
- Proven track record of developing and deploying sophisticated CV models in production.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Excellent analytical, problem-solving, and algorithmic design skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and lead projects in a fully remote environment.
- Demonstrated experience with large-scale datasets and distributed training.
Lead AI/ML Engineer (Deep Learning)
Posted 22 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.