223 AI Engineer jobs in Kenya
Lead AI Engineer - Deep Learning - Remote
50100 Kakamega, Western
KES260000 Annually
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Our client is at the forefront of AI and Emerging Technologies, and we are actively seeking a Lead AI Engineer specializing in Deep Learning to join our globally distributed, fully remote team. This role will lead the design, development, and deployment of sophisticated deep learning models that solve challenging real-world problems. You will guide a team of AI researchers and engineers, fostering innovation and ensuring the successful implementation of cutting-edge AI solutions. Responsibilities include conceptualizing and architecting complex neural networks, overseeing data preprocessing and feature engineering pipelines, and optimizing model performance for production environments. As a remote leader, exceptional communication, mentorship, and technical leadership skills are indispensable. You will collaborate with product managers, data scientists, and software engineers to integrate AI capabilities into our offerings. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with extensive experience in deep learning frameworks like TensorFlow, PyTorch, or Keras. Proven experience in deploying deep learning models in production, ideally with cloud platforms (AWS, Azure, GCP), is essential. Strong programming skills in Python and experience with large-scale data processing are also critical. If you are a visionary AI leader passionate about advancing the field of deep learning and comfortable leading a remote team to innovate from concept to deployment, we invite you to apply for this exciting role impacting the **Kakamega, Kakamega, KE** sector.
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Principal AI Engineer
60200 Meru , Eastern
KES900000 Annually
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Our client, at the forefront of AI and Emerging Technologies, is looking for a highly accomplished Principal AI Engineer to lead groundbreaking projects in a fully remote capacity. This senior position demands deep expertise in artificial intelligence, machine learning, and cutting-edge technological advancements. You will be instrumental in designing, developing, and deploying sophisticated AI models and solutions that address complex challenges and drive innovation. As a remote-first team member, you will collaborate closely with researchers, data scientists, software engineers, and product managers across the globe, utilizing advanced collaboration tools and cloud-based development environments. Your responsibilities will include leading AI research initiatives, architecting scalable machine learning systems, implementing advanced algorithms, and optimizing model performance. You should possess a strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch), natural language processing, computer vision, and big data technologies. The ideal candidate will have a proven track record of successfully delivering AI-powered products or services, excellent problem-solving skills, and the ability to mentor junior engineers. We are seeking an individual with a forward-thinking mindset, a passion for pushing the boundaries of AI, and the capacity to work autonomously while fostering a collaborative spirit within a distributed team. This is an exceptional opportunity to shape the future of AI with the flexibility of remote work.
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Lead AI Engineer
00208 Njiru Village
KES300000 Annually
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Our client is seeking a visionary Lead AI Engineer to spearhead their artificial intelligence initiatives within a fully remote team structure. This pivotal role requires a seasoned professional at the forefront of AI development, adept at designing, implementing, and scaling advanced machine learning models and intelligent systems.
As the Lead AI Engineer, you will be instrumental in shaping the company's AI strategy and roadmap. Your responsibilities will include conceptualizing and building robust AI solutions that address complex business challenges across various domains. This involves leading the end-to-end development lifecycle of AI models, from data acquisition and preprocessing to model training, validation, and deployment. You will leverage your deep expertise in machine learning algorithms, deep learning frameworks, and natural language processing (NLP) or computer vision (CV) to create innovative applications. A key aspect of this role is mentoring and guiding a team of AI engineers, fostering a collaborative and high-performing environment. You will also work closely with product managers and stakeholders to define AI product requirements and ensure alignment with business objectives. The Lead AI Engineer will stay abreast of the latest advancements in AI and machine learning, identifying opportunities for their practical application.
Core responsibilities include:
As the Lead AI Engineer, you will be instrumental in shaping the company's AI strategy and roadmap. Your responsibilities will include conceptualizing and building robust AI solutions that address complex business challenges across various domains. This involves leading the end-to-end development lifecycle of AI models, from data acquisition and preprocessing to model training, validation, and deployment. You will leverage your deep expertise in machine learning algorithms, deep learning frameworks, and natural language processing (NLP) or computer vision (CV) to create innovative applications. A key aspect of this role is mentoring and guiding a team of AI engineers, fostering a collaborative and high-performing environment. You will also work closely with product managers and stakeholders to define AI product requirements and ensure alignment with business objectives. The Lead AI Engineer will stay abreast of the latest advancements in AI and machine learning, identifying opportunities for their practical application.
Core responsibilities include:
- Leading the design, development, and deployment of cutting-edge AI and machine learning models.
- Defining the AI strategy and technical roadmap for the organization.
- Developing and implementing algorithms for areas such as natural language processing, computer vision, predictive analytics, and recommendation systems.
- Managing the end-to-end machine learning lifecycle, including data engineering, feature engineering, model training, evaluation, and MLOps.
- Mentoring and guiding a team of AI/ML engineers, providing technical leadership and direction.
- Collaborating with product management to translate business needs into technical AI requirements.
- Researching and evaluating new AI technologies, frameworks, and methodologies.
- Ensuring the scalability, reliability, and performance of AI systems.
- Developing and maintaining documentation for AI models and systems.
- Contributing to the company's intellectual property through innovative solutions.
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2
Senior AI Engineer - Machine Learning
00209 Gathiruini
KES6000000 Annually
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Our client is seeking a Senior AI Engineer specializing in Machine Learning to join their cutting-edge remote team. This role is crucial for developing and deploying advanced AI solutions that drive innovation across our client's operations. You will be responsible for designing, building, and optimizing machine learning models, implementing deep learning frameworks, and contributing to the development of AI-powered products and services. The ideal candidate will possess a strong foundation in computer science, artificial intelligence, and machine learning, with extensive experience in Python, TensorFlow, PyTorch, or similar technologies. Key responsibilities include data preprocessing, feature engineering, model training and evaluation, and deploying AI models into production environments. This is a remote-first position requiring exceptional problem-solving abilities, strong analytical skills, and the capacity to work independently and collaboratively within a fast-paced, agile development environment. You will work closely with data scientists, software engineers, and product managers to translate business requirements into effective AI solutions. We are looking for a visionary engineer who can push the boundaries of AI technology and contribute significantly to our client's growth and competitive advantage, remotely supporting projects related to emerging technologies in **Mlolongo, Machakos, KE**.
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3
Senior AI Engineer (Machine Learning)
30500 Kitale, Rift Valley
KES280000 Annually
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Our client, a leading innovator in AI and emerging technologies, is seeking a highly skilled Senior AI Engineer specializing in Machine Learning to join their fully remote team. You will be instrumental in designing, developing, and deploying advanced machine learning models and algorithms to solve complex business problems across various industries. This role requires a strong theoretical understanding of ML concepts, practical experience with popular ML frameworks, and the ability to translate business needs into robust AI solutions. You will collaborate closely with data scientists, software engineers, and product managers to build and integrate AI-powered features into our products and services.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models for tasks such as predictive analytics, natural language processing, computer vision, and anomaly detection.
- Process, clean, and prepare large datasets for model training and evaluation.
- Utilize ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Develop and deploy scalable AI solutions using cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with data scientists to research and implement novel ML algorithms and techniques.
- Optimize model performance for accuracy, efficiency, and scalability.
- Develop and maintain robust MLOps pipelines for model deployment, monitoring, and retraining.
- Write high-quality, production-ready code in languages like Python or Java.
- Stay up-to-date with the latest advancements in AI, machine learning, and deep learning research.
- Document technical specifications, model architectures, and deployment procedures.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or a similar role.
- Strong proficiency in Python and experience with ML libraries and frameworks (TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Familiarity with MLOps principles and tools.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
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Lead AI Engineer (NLP)
40100 Kisumu
KES500000 Annually
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Our client is looking for an innovative and experienced Lead AI Engineer specializing in Natural Language Processing (NLP) to spearhead their cutting-edge AI initiatives in a fully remote capacity. This role is ideal for a visionary leader passionate about leveraging AI to solve complex problems and drive product innovation. You will be responsible for the end-to-end development of NLP models and solutions, from conceptualization and data preprocessing to model training, evaluation, and deployment. The ideal candidate will have a strong background in machine learning, deep learning, and NLP techniques, with a proven track record of building and deploying production-ready AI systems. You will lead a team of talented AI engineers, mentor junior members, and collaborate closely with product and engineering teams. As a remote-first organization, you will thrive in an environment that emphasizes asynchronous communication, robust documentation, and a results-driven culture. Your expertise will be crucial in shaping the future of our AI-powered products and services.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of advanced NLP models and algorithms.
- Build and optimize NLP pipelines for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Develop and fine-tune transformer-based models (e.g., BERT, GPT, RoBERTa).
- Manage the entire machine learning lifecycle, including data collection, preprocessing, feature engineering, model training, validation, and deployment.
- Collaborate with data scientists and software engineers to integrate AI models into production systems.
- Mentor and guide junior AI engineers, fostering a culture of technical excellence.
- Stay current with the latest research and advancements in AI, ML, and NLP.
- Evaluate and select appropriate tools and technologies for AI development.
- Contribute to the strategic roadmap for AI and machine learning within the company.
- Communicate technical concepts and findings effectively to both technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI/ML engineering, with a strong focus on NLP.
- Proven experience in building and deploying NLP models in production environments.
- Expertise in Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, NLTK, spaCy).
- Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving skills and the ability to work independently in a remote setting.
- Strong leadership and team management capabilities.
- Excellent communication and collaboration skills.
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5
Senior AI Engineer - Machine Learning (Remote)
50100 Kakamega, Western
KES380000 Annually
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Our client , a leader in AI and emerging technologies, is seeking a highly skilled Senior AI Engineer specializing in Machine Learning to join their fully remote development team. This role is essential for designing, building, and deploying sophisticated machine learning models and AI-powered applications. You will work on challenging problems, contributing to the entire ML lifecycle from data preprocessing and feature engineering to model training, evaluation, and deployment. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Data Science, or a related field, with extensive experience in ML frameworks and a proven ability to implement scalable solutions. This is an excellent opportunity to work on innovative projects in a collaborative, remote-first setting, pushing the boundaries of what's possible with AI.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement machine learning models and algorithms to solve complex business problems.
- Design and build robust ML pipelines for data ingestion, processing, training, and inference.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Optimize ML models for performance, scalability, and efficiency.
- Evaluate model performance, conduct A/B testing, and implement improvements.
- Stay current with the latest advancements in machine learning and AI technologies.
- Troubleshoot and debug ML systems and models.
- Contribute to the architectural design of AI solutions.
- Write clean, maintainable, and well-documented code.
- Mentor junior engineers and share expertise within the team.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- 5+ years of experience in machine learning engineering or a similar role.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of data structures, algorithms, and software design principles.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with containerization (Docker, Kubernetes).
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills for a remote team environment.
- Experience with MLOps tools and practices for model deployment and monitoring.
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Senior AI Engineer - Machine Learning Operations
80200 Nairobi, Nairobi
KES7500000 Annually
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Our client is at the cutting edge of AI and Emerging Technologies and is looking for a highly skilled Senior AI Engineer specializing in Machine Learning Operations (MLOps) to join their innovative, remote-first team. In this role, you will be instrumental in building, deploying, and maintaining robust and scalable machine learning systems. You will focus on streamlining the ML lifecycle, from data preparation and model training to deployment, monitoring, and governance. Responsibilities include designing and implementing CI/CD pipelines for ML models, developing infrastructure for model deployment (e.g., containerization with Docker, orchestration with Kubernetes), and establishing effective model monitoring and performance tracking mechanisms. You will work with cloud platforms (AWS, Azure, GCP) and utilize MLOps tools and frameworks. Strong experience in Python, machine learning libraries (TensorFlow, PyTorch, Scikit-learn), and MLOps platforms is essential. Experience with data engineering, model versioning, and experiment tracking is highly desirable. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with a proven track record of operationalizing machine learning models in production environments. Excellent problem-solving skills, a passion for automation, and the ability to work independently and collaboratively in a remote setting are critical. Responsibilities:
- Design, implement, and manage end-to-end MLOps pipelines.
- Deploy machine learning models into production environments using containerization and orchestration tools.
- Develop and maintain infrastructure for scalable ML model training and inference.
- Implement robust model monitoring, logging, and alerting systems.
- Collaborate with data scientists and software engineers to integrate ML models into products.
- Ensure the reliability, scalability, and performance of ML systems.
- Manage ML model versioning, experiment tracking, and model registries.
- Stay current with MLOps best practices and emerging technologies.
- Master's or Ph.D. in Computer Science, AI, Data Science, or a related field.
- Minimum of 5 years of experience in software engineering, with a focus on MLOps or machine learning systems engineering.
- Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Expertise in containerization (Docker) and orchestration (Kubernetes).
- Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Seldon Core).
- Understanding of data engineering principles and best practices.
- Excellent problem-solving and communication skills for a remote team environment.
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7
Remote Lead AI Engineer - Machine Learning
20401 Naivasha, Rift Valley
KES700000 Annually
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Our client, a trailblazer in AI and emerging technologies, is seeking an accomplished Lead AI Engineer to spearhead the development of cutting-edge machine learning solutions. This is a fully remote position, offering the opportunity to work with a world-class team on groundbreaking projects from anywhere.
As the Lead AI Engineer, you will be responsible for designing, building, and deploying sophisticated machine learning models and AI systems. You will lead a team of talented AI engineers and data scientists, guiding them through the entire development lifecycle, from conceptualization and data preprocessing to model training, evaluation, and deployment. Your expertise will be crucial in identifying opportunities to apply AI and ML to solve complex business challenges and drive innovation.
Key responsibilities include researching and implementing state-of-the-art ML algorithms and techniques, developing robust data pipelines, and ensuring the scalability and efficiency of AI solutions. You will work with various data sources, manage large datasets, and leverage cloud platforms (e.g., AWS, Azure, GCP) for AI development and deployment. Strong MLOps practices, including model monitoring, versioning, and continuous integration/continuous deployment (CI/CD), are essential. You will also mentor team members, conduct code reviews, and foster a culture of technical excellence and collaboration.
We are looking for a highly skilled and innovative individual with a deep understanding of machine learning, deep learning, and artificial intelligence concepts. Proven experience in leading AI projects and teams, coupled with strong programming skills (Python, R) and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn), is required. Excellent problem-solving abilities, strong communication skills, and a passion for staying at the forefront of AI advancements are essential. This remote role demands strong leadership qualities and the ability to inspire and guide a distributed engineering team.
Key Responsibilities:
Qualifications:
This is an exceptional opportunity to drive innovation in artificial intelligence and shape the future of technology from your remote work environment.
As the Lead AI Engineer, you will be responsible for designing, building, and deploying sophisticated machine learning models and AI systems. You will lead a team of talented AI engineers and data scientists, guiding them through the entire development lifecycle, from conceptualization and data preprocessing to model training, evaluation, and deployment. Your expertise will be crucial in identifying opportunities to apply AI and ML to solve complex business challenges and drive innovation.
Key responsibilities include researching and implementing state-of-the-art ML algorithms and techniques, developing robust data pipelines, and ensuring the scalability and efficiency of AI solutions. You will work with various data sources, manage large datasets, and leverage cloud platforms (e.g., AWS, Azure, GCP) for AI development and deployment. Strong MLOps practices, including model monitoring, versioning, and continuous integration/continuous deployment (CI/CD), are essential. You will also mentor team members, conduct code reviews, and foster a culture of technical excellence and collaboration.
We are looking for a highly skilled and innovative individual with a deep understanding of machine learning, deep learning, and artificial intelligence concepts. Proven experience in leading AI projects and teams, coupled with strong programming skills (Python, R) and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn), is required. Excellent problem-solving abilities, strong communication skills, and a passion for staying at the forefront of AI advancements are essential. This remote role demands strong leadership qualities and the ability to inspire and guide a distributed engineering team.
Key Responsibilities:
- Lead the design, development, and deployment of AI and machine learning solutions.
- Architect scalable and efficient ML pipelines and MLOps frameworks.
- Develop and implement advanced machine learning models and algorithms.
- Manage and process large datasets using big data technologies.
- Collaborate with cross-functional teams to identify AI/ML opportunities.
- Mentor and guide junior AI engineers and data scientists.
- Conduct code reviews and ensure adherence to best practices.
- Stay current with the latest advancements in AI research and technologies.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Minimum of 5 years of experience in AI/ML engineering, with at least 2 years in a leadership role.
- Expertise in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of MLOps principles and practices.
- Experience with cloud platforms (AWS, Azure, GCP) for ML deployment.
- Proven track record of successfully delivering complex AI projects.
- Excellent analytical, problem-solving, and architectural skills.
- Strong leadership, communication, and interpersonal skills.
This is an exceptional opportunity to drive innovation in artificial intelligence and shape the future of technology from your remote work environment.
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