110 Conversational AI jobs in Kenya
Remote Graduate Research Assistant (AI)
40100 Moiben
KES20000 month
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Our client is looking for an enthusiastic and bright Graduate Research Assistant to join their pioneering research initiative in Artificial Intelligence. This is a fully remote position, offering an unparalleled opportunity for aspiring researchers to gain hands-on experience in cutting-edge AI development. You will be involved in various research activities, including literature reviews, data collection and analysis, experimental design, and report writing. Your primary focus will be on assisting senior researchers with projects related to machine learning algorithms, natural language processing, or computer vision. Responsibilities include coding prototype AI models, testing and debugging software, and preparing research findings for publication or presentation. You will work closely with a collaborative team of experts, contributing to the advancement of AI technologies. The ideal candidate will have a strong academic background in Computer Science, Data Science, Mathematics, or a related field, with a foundational understanding of AI concepts. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch are highly desirable. Excellent analytical, problem-solving, and communication skills are essential, as is the ability to work independently and manage time effectively in a remote setting. This internship provides invaluable exposure to real-world AI research challenges and offers a chance to contribute meaningfully to groundbreaking projects. Join us and be part of the future of artificial intelligence.
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0
Machine Learning Engineer
20117 Mwembe
KES150000 month
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Our client, an innovative leader in AI and emerging technologies, is looking for a highly skilled Machine Learning Engineer to join their cutting-edge research and development team in **Nakuru, Nakuru, KE**. This is an on-site role, crucial for hands-on development and collaborative innovation. You will be responsible for designing, building, and deploying machine learning models and algorithms to solve complex business problems. This includes data preprocessing, feature engineering, model training, evaluation, and optimization. The ideal candidate will have a strong foundation in computer science, mathematics, and statistics, with expertise in programming languages such as Python and libraries like TensorFlow, PyTorch, and Scikit-learn. You will work with large datasets, identify patterns, and develop predictive models. Responsibilities also include staying up-to-date with the latest advancements in machine learning and artificial intelligence, and contributing to the development of proprietary AI solutions. Excellent problem-solving abilities, strong analytical skills, and the capacity to work independently and collaboratively within a research-oriented environment are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. We are seeking a candidate who is passionate about pushing the boundaries of AI and contributing to the creation of intelligent systems. Join our team to work on challenging projects and make significant contributions to the future of technology.
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AI/Machine Learning Engineer
50100 Kakamega, Western
KES140000 Annually
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Our client, a leader in Artificial Intelligence and Emerging Technologies, is seeking a highly skilled AI/Machine Learning Engineer to join their pioneering, fully remote development team. This role is integral to designing, developing, and deploying sophisticated AI models and machine learning solutions that drive innovation and competitive advantage. You will work with large datasets, cutting-edge algorithms, and advanced tools to create intelligent systems. The ideal candidate is passionate about AI, possesses strong programming skills, and thrives in a collaborative, remote-first work environment.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms for various applications.
- Process, clean, and transform large datasets for model training and evaluation.
- Evaluate model performance and implement improvements through iterative development.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
- Research and stay abreast of the latest advancements in AI, machine learning, and deep learning.
- Develop and maintain robust ML pipelines for data ingestion, model training, and deployment.
- Build and optimize scalable AI systems and infrastructure.
- Communicate complex technical concepts to both technical and non-technical audiences.
- Contribute to the architectural design of AI-driven features and products.
- Write clean, efficient, and well-documented code in Python or other relevant languages.
- Deploy ML models into production environments and monitor their performance.
- Troubleshoot and resolve issues related to AI model performance and deployment.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 3 years of experience in developing and deploying machine learning models.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Strong understanding of statistical modeling, data mining, and algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving, analytical, and critical-thinking skills.
- Ability to work effectively both independently and as part of a remote team.
- Strong communication and collaboration skills.
- Experience with MLOps practices is a significant plus.
- Knowledge of natural language processing (NLP) or computer vision is advantageous.
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Lead Machine Learning Engineer
60300 Meru , Eastern
KES850000 Annually
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Our client is looking for a highly skilled and motivated Lead Machine Learning Engineer to join their dynamic and fully remote team. This position is ideal for an experienced professional who thrives in a collaborative, remote-first environment and is passionate about building scalable and efficient machine learning systems. You will be responsible for the end-to-end development lifecycle of our machine learning products, from ideation and data preprocessing to model deployment and monitoring.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of machine learning models and pipelines.
- Collaborate with data scientists and software engineers to productionize ML models.
- Optimize ML models for performance, scalability, and reliability.
- Develop and maintain robust data pipelines for training and inference.
- Implement MLOps best practices for continuous integration, continuous delivery, and model monitoring.
- Mentor junior engineers and contribute to the team's technical growth.
- Evaluate and integrate new technologies and tools to improve our ML infrastructure.
- Ensure the quality and integrity of data used for training and evaluation.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Contribute to architectural decisions for our AI and ML platforms.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 6 years of experience in machine learning engineering or a similar role, with at least 2 years in a leadership capacity.
- Proficiency in Python and deep knowledge of ML libraries like TensorFlow, PyTorch, Scikit-learn.
- Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Strong understanding of software engineering principles and best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, debugging, and analytical skills.
- Strong communication skills, adept at explaining complex technical concepts.
- Ability to work effectively in a fully remote setting and manage distributed teams.
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3
Machine Learning Engineer (Remote)
20100 Mwembe
KES180000 month
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Our client is a dynamic tech company looking for a talented Machine Learning Engineer to join our hybrid team. This role is perfect for someone who thrives on building and deploying sophisticated machine learning models that solve real-world problems. You will be instrumental in the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Responsibilities include collaborating with data scientists and software engineers to develop production-ready ML systems, implementing efficient algorithms, and optimizing model performance for scalability and accuracy. You will also work on developing and maintaining ML pipelines, experimenting with new techniques, and staying current with advancements in the field. The ideal candidate will have a strong foundation in computer science, statistics, and machine learning, with hands-on experience in Python and common ML libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent problem-solving skills and the ability to work effectively in both independent and collaborative settings are crucial. You will be expected to contribute to our client's innovative projects while working remotely for a portion of your time and being available for in-office collaboration as needed. We value initiative, a passion for learning, and a commitment to delivering high-quality results. This hybrid role offers a blend of remote flexibility and team synergy. Our client is committed to diversity and inclusion.
Key Responsibilities:
Key Responsibilities:
- Develop, train, and deploy machine learning models.
- Implement and optimize ML algorithms and data preprocessing pipelines.
- Collaborate with data scientists and software engineers to build production ML systems.
- Perform feature engineering and model evaluation.
- Work with large datasets and big data technologies.
- Develop and maintain ML infrastructure and MLOps practices.
- Experiment with new ML techniques and technologies.
- Ensure model performance, scalability, and robustness.
- Contribute to the design and architecture of ML solutions.
- Document code, experiments, and deployed models.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Proven experience in machine learning model development and deployment.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Knowledge of MLOps principles and tools is desirable.
- Strong analytical and problem-solving skills.
- Excellent collaboration and communication skills.
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AI/Machine Learning Engineer
30400 Kitale, Rift Valley
KES4500000 Annually
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Our client is seeking an innovative AI/Machine Learning Engineer to join their cutting-edge technology team. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be instrumental in designing, developing, and deploying advanced artificial intelligence and machine learning models to solve complex business problems. This includes data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will work with large datasets, explore new algorithms, and contribute to the development of AI-powered products and services. The ideal candidate will possess a Master's or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field, with a strong foundation in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages like Python. Proven experience in building and deploying production-ready ML models is essential. You should have strong skills in data analysis, statistical modeling, and software engineering best practices. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. This role requires excellent problem-solving skills, a passion for innovation, and the ability to collaborate effectively with remote teams. We are looking for a self-motivated individual who can thrive in a fast-paced, research-oriented environment and contribute to pushing the boundaries of AI. If you are passionate about leveraging AI to create impactful solutions, this is an excellent opportunity for you.
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5
Senior Machine Learning Engineer
20201 Kapsuser
KES190000 Annually
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Our client, a fast-growing leader in AI and Emerging Technologies, is seeking a highly experienced Senior Machine Learning Engineer to join their cutting-edge, fully remote team. This role is instrumental in designing, developing, and deploying advanced machine learning models and solutions that drive innovation across our product suite. You will be responsible for the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and production deployment. The ideal candidate possesses a deep understanding of various ML algorithms, deep learning frameworks, and best practices in MLOps. You should be proficient in Python and have hands-on experience with libraries like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, Azure, GCP). This position demands a highly analytical, creative, and self-motivated individual who can excel in a remote environment, tackling complex problems and contributing to impactful AI advancements. Responsibilities:
- Design, build, and train sophisticated machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
- Develop and implement robust MLOps pipelines for seamless model deployment, monitoring, and retraining.
- Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into existing products and services.
- Perform data analysis, feature engineering, and model validation to ensure accuracy and performance.
- Optimize ML models for performance, scalability, and efficiency.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Mentor junior engineers and contribute to the team's knowledge sharing.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Contribute to the development of internal tools and libraries for ML development.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Minimum of 6 years of professional experience in machine learning engineering.
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Proficiency in MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads.
- Solid understanding of statistical modeling, algorithms, and data structures.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team.
- Experience with big data technologies (e.g., Spark) is a plus.
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Senior Machine Learning Engineer
20400 Naivasha, Rift Valley
KES250000 Annually
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We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our cutting-edge IT and Software division. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in designing, developing, and deploying advanced machine learning models and algorithms that drive innovation across our product suite. This role involves working with large datasets, implementing state-of-the-art ML techniques, and collaborating with cross-functional teams to translate business requirements into intelligent solutions. You will be involved in the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. The ideal candidate possesses a strong foundation in computer science, mathematics, and statistics, coupled with hands-on experience in building and scaling ML systems. Expertise in programming languages such as Python and proficiency with ML frameworks like TensorFlow or PyTorch are essential. You will contribute to research and development efforts, stay abreast of the latest advancements in AI and ML, and mentor junior engineers. Key responsibilities include developing predictive models, implementing natural language processing (NLP) solutions, optimizing model performance, and ensuring the robustness and scalability of deployed ML systems. This remote-first role emphasizes collaboration and knowledge sharing within a globally distributed team. If you are passionate about solving complex problems using machine learning and contributing to the future of technology, we invite you to apply.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Process and analyze large datasets for model training and evaluation.
- Build and maintain ML pipelines for data preprocessing, feature engineering, and model deployment.
- Collaborate with data scientists and software engineers to integrate ML solutions into products.
- Optimize model performance for accuracy, efficiency, and scalability.
- Stay current with research and advancements in machine learning and artificial intelligence.
- Develop and implement A/B testing strategies for model improvements.
- Contribute to the development of internal ML tools and frameworks.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of experience in machine learning engineering or data science.
- Strong proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Solid understanding of statistical modeling and machine learning algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
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Senior Machine Learning Engineer
20400 Naivasha, Rift Valley
KES180000 Annually
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Our client is seeking an accomplished Senior Machine Learning Engineer to join their fully remote, innovative team. This role is critical for the design, development, and deployment of advanced machine learning models that power our client's core products and services. The ideal candidate will have a strong background in software engineering, a deep understanding of ML algorithms, and hands-on experience with ML frameworks and large-scale data. You will work on challenging problems, pushing the boundaries of AI applications. This position offers the full flexibility of remote work.
Responsibilities:
Qualifications:
Responsibilities:
- Design, build, train, and deploy machine learning models using state-of-the-art algorithms and frameworks.
- Develop scalable and efficient ML pipelines for data preprocessing, feature engineering, model training, and deployment.
- Collaborate closely with data scientists and software engineers to integrate ML models into production systems.
- Optimize model performance for accuracy, latency, and computational efficiency.
- Conduct rigorous testing and validation of ML models.
- Monitor deployed models and implement strategies for continuous improvement and retraining.
- Stay current with the latest advancements in machine learning, deep learning, and AI research.
- Contribute to the development of internal ML tools and best practices.
- Participate in code reviews and architectural discussions.
- Mentor junior engineers and share knowledge within the team.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of professional experience in machine learning engineering or a related role.
- Proven experience in developing and deploying ML models in a production environment.
- Strong proficiency in programming languages such as Python, and extensive experience with ML libraries/frameworks like TensorFlow, PyTorch, scikit-learn, Keras.
- Solid understanding of software engineering principles, including data structures, algorithms, and software design patterns.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services is highly desirable.
- Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for effective teamwork in a remote setting.
- Ability to work independently and manage complex projects with minimal supervision.
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Lead Machine Learning Engineer
90102 Gathiruini
KES780000 Annually
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Our client is seeking an accomplished Lead Machine Learning Engineer to join their innovative AI & Emerging Technologies team. This is a fully remote, full-time position, offering unparalleled flexibility to work from anywhere within Kenya. You will be responsible for leading the design, development, and deployment of scalable machine learning models and systems that solve complex business problems. Key responsibilities include architecting ML pipelines, selecting appropriate algorithms and tools, and optimizing model performance for production environments. You will mentor junior engineers, conduct code reviews, and establish best practices for ML development. Collaboration with data scientists, software engineers, and product managers will be crucial to ensure the successful implementation of AI-driven solutions. You will also stay current with the latest advancements in machine learning, contributing to research and innovation. The ideal candidate will have a Master's or PhD in Computer Science, Statistics, or a related quantitative field, with a minimum of 6 years of experience in machine learning and software engineering. Demonstrated experience in leading ML projects from conception to deployment is essential. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras is required. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly preferred. Strong understanding of MLOps principles and practices is a must. Excellent leadership, communication, and problem-solving skills are paramount. As a remote-first organization, we foster a collaborative and high-performance culture. You will have the opportunity to work on challenging projects, contribute to cutting-edge technology, and grow your career in a supportive and dynamic environment.
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