1,017 AI And Machine Learning Engineer jobs in Kenya
AI and Machine Learning Engineer
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Job Description
Key responsibilities include:
- Designing, developing, and implementing machine learning models and algorithms.
- Pre-processing and analyzing large datasets to extract meaningful insights.
- Building and optimizing data pipelines for machine learning workflows.
- Collaborating with data scientists and software engineers to integrate AI solutions into existing products and services.
- Evaluating and improving the performance of machine learning models.
- Staying current with the latest advancements in AI and machine learning research.
- Developing and deploying AI-powered applications and systems.
- Contributing to the development of AI strategy and roadmaps.
- Ensuring the ethical and responsible use of AI technologies.
- Presenting findings and technical solutions to stakeholders.
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Senior AI & Machine Learning Engineer - Deep Learning
Posted 2 days ago
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Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for various applications, including but not limited to, computer vision, natural language processing, and predictive analytics.
- Conduct research into new AI techniques and algorithms, staying at the forefront of the field.
- Preprocess, clean, and manage large datasets for model training and evaluation.
- Train, validate, and fine-tune deep learning models to achieve optimal performance.
- Develop robust and scalable ML pipelines for deployment in production environments.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into products and services.
- Evaluate the performance of ML models and identify areas for improvement.
- Write clean, efficient, and well-documented code in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Stay updated with the latest research papers, conferences, and industry trends in AI and machine learning.
- Contribute to the technical roadmap and strategic direction of the AI team.
- Mentor junior engineers and share knowledge within the team.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying deep learning models.
- Strong expertise in Python programming and experience with major ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, etc.) and their applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proficiency in cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving skills and the ability to work on complex, ambiguous challenges.
- Strong communication and collaboration skills, essential for a remote team environment.
- Proven ability to work independently and manage projects effectively.
- Published research in top-tier AI/ML conferences or journals is highly desirable.
- This role will support projects and initiatives relevant to the **Mlolongo, Machakos, KE** region.
Automotive AI & Machine Learning Engineer
Posted 2 days ago
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Job Description
- Designing, developing, and implementing machine learning algorithms and AI models for automotive applications, including object detection, tracking, sensor fusion, and behavioral prediction.
- Working with large datasets from various sensors such as cameras, LiDAR, radar, and ultrasonics.
- Developing and optimizing deep learning models for real-time inference on embedded automotive hardware.
- Collaborating with software engineers to integrate AI models into production systems.
- Conducting rigorous testing and validation of AI algorithms to ensure safety and performance.
- Researching and evaluating new AI/ML techniques and technologies relevant to the automotive industry.
- Contributing to the continuous improvement of our ML pipelines and infrastructure.
- Documenting algorithms, methodologies, and experimental results.
- Participating in code reviews and technical discussions with cross-functional teams.
- Staying current with the latest advancements in AI, machine learning, and automotive technology.
Senior AI & Machine Learning Engineer
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, train, and deploy machine learning models for various applications, including predictive analytics, natural language processing, computer vision, and recommendation systems.
- Conduct research and experimentation to identify and implement state-of-the-art AI and ML algorithms and techniques.
- Process, clean, and transform large and complex datasets to prepare them for model training.
- Collaborate with data engineers and software developers to integrate ML models into production systems and workflows.
- Develop and maintain ML pipelines, ensuring scalability, efficiency, and robustness.
- Evaluate model performance, conduct hyperparameter tuning, and implement strategies for continuous improvement.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
- Communicate complex technical concepts and findings clearly to both technical and non-technical stakeholders.
- Contribute to the development of AI strategy and roadmap for the organization.
- Identify opportunities to apply AI and ML to solve business challenges and create new product features.
- Write high-quality, maintainable, and well-documented code.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Ensure responsible and ethical AI development practices are followed.
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in developing and deploying machine learning models in production environments.
- Strong proficiency in programming languages such as Python, with expertise in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) for ML workloads.
- Proven ability to work with large-scale datasets and complex data pipelines.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience in MLOps practices is highly desirable.
- Publications in top-tier AI/ML conferences or journals are a significant plus.
Graduate AI & Machine Learning Engineer
Posted 2 days ago
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Job Description
As a Graduate AI & Machine Learning Engineer, your responsibilities will include researching, experimenting with, and applying various machine learning algorithms (e.g., supervised, unsupervised, deep learning). You will develop and train models using large datasets, ensuring optimal performance and accuracy. Collaborating with senior engineers and data scientists to integrate AI solutions into existing products and platforms will be a key aspect of your role. You will be involved in data preprocessing, feature engineering, and model evaluation. Contributing to the development of scalable AI infrastructure and MLOps practices will also be expected. Staying abreast of the latest advancements in AI research, publications, and industry trends is crucial. You will participate in code reviews and contribute to technical documentation.
This position is fully remote, offering the flexibility to work from anywhere within Kenya. We are looking for candidates who hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field, with a strong academic record and demonstrated interest in AI/ML. Proficiency in programming languages such as Python is essential, along with hands-on experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of algorithms, data structures, and statistical concepts is required. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent problem-solving skills, a keen analytical mind, and the ability to work independently and collaboratively in a remote setting are vital. If you are a recent graduate with a passion for artificial intelligence and a drive to push the boundaries of technology, this remote opportunity is an excellent fit. This role is based in **Kericho, Kericho, KE**, but operates on a fully remote basis.
Senior AI & Machine Learning Engineer
Posted 2 days ago
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Job Description
Remote AI/Machine Learning Engineer
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, build, train, and deploy machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
- Develop and implement AI algorithms and solutions to solve complex business problems.
- Clean, preprocess, and analyze large datasets to extract meaningful insights.
- Collaborate with data scientists, software engineers, and product managers to integrate AI models into production systems.
- Evaluate and fine-tune model performance, ensuring accuracy, efficiency, and scalability.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Develop and maintain robust, scalable, and efficient code for ML pipelines.
- Conduct experiments to test hypotheses and validate model effectiveness.
- Contribute to the design and architecture of AI platforms and infrastructure.
- Document algorithms, models, and processes comprehensively.
- Work with teams supporting clients and projects in the **Kericho, Kericho, KE** region, providing remote AI expertise.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven experience in developing and deploying machine learning models in a production environment.
- Proficiency in programming languages such as Python, R, or Java.
- Extensive experience with ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, Keras.
- Strong understanding of various ML algorithms (e.g., regression, classification, clustering, deep neural networks).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
This is a unique opportunity to be at the forefront of AI development and make a significant impact on the future of technology. If you are a passionate AI/ML expert looking for a challenging remote role, we invite you to apply.
Senior AI & Machine Learning Engineer
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement advanced AI and Machine Learning models.
- Build and maintain scalable ML pipelines for training and deployment.
- Conduct research on new AI/ML algorithms and techniques.
- Collaborate with product managers and other engineers to define ML requirements.
- Optimize model performance for accuracy, efficiency, and scalability.
- Deploy ML models into production environments.
- Analyze and interpret large datasets to extract actionable insights.
- Stay current with the latest research and industry trends in AI/ML.
- Mentor junior engineers and contribute to team knowledge sharing.
- Present findings and project progress to technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Minimum of 6 years of experience in AI/ML engineering and model development.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of statistical modeling, data mining, and algorithm design.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities for remote teamwork.
- Proven ability to lead technical projects and mentor junior team members.
- Experience with MLOps practices is a plus.
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Lead AI & Machine Learning Engineer
Posted 2 days ago
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Job Description
Responsibilities:
- Lead the design, development, and deployment of advanced AI and Machine Learning models.
- Architect scalable and robust AI systems for diverse applications, including natural language processing, computer vision, and predictive analytics.
- Collaborate closely with product managers, data scientists, and software engineers to define AI roadmaps and integrate ML solutions into existing platforms.
- Mentor and guide a team of AI/ML engineers, fostering a culture of learning and innovation.
- Stay at the forefront of AI research and identify opportunities to leverage new algorithms and techniques.
- Develop and implement MLOps best practices for model training, deployment, monitoring, and versioning.
- Conduct rigorous experimentation and evaluation of models to ensure performance and accuracy.
- Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
- Ensure ethical AI development and deployment, addressing bias and fairness concerns.
- Contribute to the company's intellectual property through research and patents.
- Drive the adoption of AI technologies across the organization.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Significant experience (7+ years) in developing and deploying AI/ML models in production environments.
- Expertise in programming languages such as Python, R, or Scala, and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of various ML algorithms (e.g., deep learning, reinforcement learning, supervised and unsupervised learning) and their applications.
- Proven experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong knowledge of MLOps principles and tools.
- Excellent leadership, communication, and interpersonal skills.
- Experience mentoring and managing engineering teams.
- Ability to translate business requirements into technical solutions.
- Published research or contributions to open-source AI projects are a plus.
- Demonstrated ability to work independently and lead initiatives in a remote setting.
- Passion for pushing the boundaries of AI and its practical applications.
AI & Machine Learning Engineer - Remote
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement machine learning algorithms and statistical models.
- Process, clean, and transform large datasets for model training and analysis.
- Evaluate model performance and iterate on designs to improve accuracy and efficiency.
- Deploy ML models into production systems, ensuring scalability and reliability.
- Collaborate with software engineers and product managers to integrate AI capabilities into existing products.
- Stay up-to-date with the latest research and advancements in AI and machine learning.
- Conduct experiments and perform rigorous testing to validate hypotheses.
- Develop and maintain documentation for models, algorithms, and code.
- Present findings and technical insights to both technical and non-technical audiences.
- Contribute to the overall AI strategy and roadmap of the company.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven experience in developing and deploying machine learning models.
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of data structures, algorithms, and software development principles.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Excellent analytical and problem-solving skills.
- Ability to work independently and collaboratively in a remote team environment.
- Strong communication skills, with the ability to explain complex technical concepts clearly.
- A passion for AI and a desire to push the boundaries of what's possible.
This is an unparalleled opportunity to work on challenging AI problems with a talented, globally distributed team. If you are an AI/ML expert seeking a dynamic and fully remote role, apply now. Join our client's pioneering team and shape the future of AI from Nyeri, Nyeri, KE .
Principal AI & Machine Learning Engineer (Remote)
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and implementation of sophisticated AI and Machine Learning models and algorithms.
- Conduct research into state-of-the-art ML techniques, evaluate their potential impact, and integrate them into production systems.
- Develop and deploy scalable ML pipelines for data preprocessing, feature engineering, model training, and inference.
- Collaborate closely with product managers, data scientists, and software engineers to define AI/ML roadmaps and feature requirements.
- Mentor and guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Architect and build robust, production-ready AI systems that are reliable, efficient, and maintainable.
- Evaluate and select appropriate tools, frameworks, and technologies for AI/ML development and deployment.
- Stay ahead of the curve on emerging AI/ML trends, research papers, and industry best practices.
- Present complex technical concepts and findings to both technical and non-technical audiences.
- Contribute to the intellectual property of the company through patents and publications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 8 years of hands-on experience in developing and deploying AI/ML models in production environments.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong proficiency in programming languages like Python, Java, or Scala, and experience with ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Hadoop).
- Proven track record of leading complex technical projects and mentoring teams.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Exceptional communication, collaboration, and leadership abilities, essential for remote work.
- Published research in top-tier AI/ML conferences or journals is a significant plus.