231 AI Ml jobs in Kenya
AI/ML Engineer
Posted today
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Job Description
Key Responsibilities:
- Design, develop, and implement machine learning models and AI solutions.
- Preprocess and analyze large datasets for model training.
- Select, train, and evaluate various machine learning algorithms.
- Deploy models into production environments and monitor their performance.
- Collaborate with data scientists and engineers to build robust AI systems.
- Stay updated with the latest research and trends in AI and machine learning.
- Optimize model performance and efficiency.
- Develop APIs and interfaces for AI models.
- Contribute to the MLOps pipeline and CI/CD processes.
- Document models, algorithms, and deployment procedures.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 4 years of experience in AI/ML engineering or a related role.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Keras.
- Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker).
- Knowledge of MLOps principles and best practices.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills.
- Ability to work independently in a remote team environment.
AI/ML Engineer
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Process and analyze large datasets for model training and evaluation.
- Develop and maintain robust ML pipelines and infrastructure.
- Deploy ML models into production environments.
- Monitor and optimize the performance of deployed models.
- Collaborate with cross-functional teams to identify AI/ML opportunities.
- Conduct research and stay updated on the latest AI/ML advancements.
- Write clean, efficient, and well-documented code.
- Troubleshoot and resolve issues related to ML models and systems.
- Contribute to the development of AI/ML strategy and best practices.
Required Qualifications:
- Master's or Ph.D. in Computer Science, AI, Data Science, or a related field.
- Proven experience in developing and deploying AI/ML models.
- Strong proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling and machine learning algorithms.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Knowledge of MLOps practices and tools is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for remote work.
- Ability to work independently and manage complex projects.
This remote position offers an exciting opportunity to work at the forefront of artificial intelligence.
AI/ML Engineer
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Preprocess and analyze large datasets for model training.
- Evaluate and optimize model performance.
- Deploy ML models into production environments.
- Collaborate with cross-functional teams on AI initiatives.
- Stay current with AI/ML research and best practices.
- Contribute to the development of AI infrastructure.
- Document and present model development processes.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Proven experience in developing and deploying machine learning models.
- Strong programming skills in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Solid understanding of AI/ML concepts, algorithms, and techniques.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure).
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities in a remote setting.
Remote AI/ML Engineer
Posted today
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Job Description
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Preprocess and analyze large datasets to identify patterns and insights.
- Build and optimize data pipelines for ML model training and deployment.
- Evaluate and fine-tune model performance.
- Collaborate with software engineers to integrate ML models into production systems.
- Stay current with the latest advancements in AI and machine learning.
- Document and present findings and methodologies.
- Contribute to the development of AI strategy and roadmap.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying AI/ML models.
- Strong programming skills in Python and proficiency with ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with data manipulation and analysis tools.
- Familiarity with cloud computing platforms (AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage complex projects in a remote setting.
Remote AI/ML Engineer
Posted today
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Job Description
Your primary responsibilities will include designing, developing, and deploying machine learning models for various applications, such as natural language processing, computer vision, predictive analytics, and recommendation systems. You will be involved in the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment. This requires strong programming skills in languages like Python and expertise in ML libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
The ideal candidate will have a deep understanding of various machine learning algorithms, statistical modeling, and data mining techniques. You will collaborate closely with data scientists, software engineers, and product managers to understand business requirements and translate them into technical solutions. Responsibilities also include optimizing model performance, ensuring scalability, and maintaining robust ML pipelines. Staying current with the latest advancements in AI and ML research and applying them to our projects will be crucial.
Essential qualifications include a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A strong portfolio of AI/ML projects and a minimum of 5 years of hands-on experience in developing and deploying ML models are required. Proficiency in Python and expertise in major ML frameworks are mandatory. Excellent analytical, problem-solving, and critical thinking skills are essential. Strong communication and collaboration skills are needed to work effectively in a remote team environment. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is a significant plus. We offer a competitive salary and the opportunity to work on impactful AI projects with a talented, globally distributed team.
AI/ML Solutions Architect
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Senior AI/ML Engineer
Posted today
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Job Description
As a Senior AI/ML Engineer, you will be responsible for designing, developing, and deploying sophisticated machine learning models and AI solutions. You will leverage your expertise in algorithms, data structures, and programming to tackle complex challenges and drive the development of next-generation AI technologies.
Key Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models and algorithms for various applications.
- Build and maintain scalable AI/ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Conduct research and experiments to identify and implement novel AI techniques.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
- Analyze large datasets to extract meaningful insights and inform model development.
- Optimize model performance for accuracy, efficiency, and scalability.
- Develop and maintain robust MLOps practices for continuous integration and deployment of models.
- Stay current with the latest advancements in AI, machine learning, deep learning, and related fields.
- Mentor junior engineers and contribute to the team's technical growth.
- Present findings and project updates to technical and non-technical stakeholders.
- Contribute to the architectural design of AI systems and platforms.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying machine learning models in production environments.
- Proficiency in programming languages such as Python, Java, or C++.
- Extensive experience with ML frameworks like TensorFlow, PyTorch, scikit-learn.
- Strong understanding of deep learning architectures (CNNs, RNNs, Transformers).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Familiarity with MLOps tools and practices.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Proven ability to lead technical projects and mentor team members.
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AI/ML Research Scientist
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As an AI/ML Research Scientist, your primary responsibilities will include exploring, prototyping, and validating new machine learning algorithms and deep learning architectures. You will conduct advanced statistical analysis and data mining to extract insights and build predictive models. This involves working with large, complex datasets and ensuring data quality and integrity. You will be responsible for designing and implementing experiments, analyzing results, and drawing meaningful conclusions to guide further research. Collaboration with software engineers to integrate research prototypes into production systems will be a key aspect. You will also stay abreast of the latest research papers, industry trends, and emerging technologies in AI and ML, contributing to the team's intellectual property. Preparing technical reports, research papers, and presentations to disseminate findings to both technical and non-technical audiences is also expected. You may also be involved in mentoring junior researchers and contributing to the overall research strategy. The ability to think creatively and approach problems from unconventional angles is highly valued.
The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. A minimum of 5 years of research experience in AI/ML, with a strong publication record in top-tier conferences or journals, is highly preferred. Proficiency in programming languages such as Python, R, or Java, and extensive experience with ML libraries and frameworks like TensorFlow, PyTorch, scikit-learn, and Keras is essential. Strong theoretical understanding of various ML techniques, including supervised, unsupervised, and reinforcement learning, as well as deep learning architectures (CNNs, RNNs, Transformers), is required. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is a plus. Excellent analytical, problem-solving, and critical thinking skills are paramount. This is a fully remote position, requiring exceptional self-motivation, discipline, and the ability to communicate complex ideas clearly and effectively in a virtual environment. Join us to push the boundaries of what's possible with AI.
Key Responsibilities:
- Conduct research in AI and Machine Learning.
- Develop and implement novel AI algorithms and models.
- Analyze large datasets and build predictive models.
- Experiment with deep learning architectures.
- Collaborate with engineering teams for deployment.
- Publish research findings and present technical reports.
- Stay updated on AI/ML advancements.
- Ph.D./Master's in AI/ML or related field.
- 5+ years of AI/ML research experience.
- Expertise in Python and ML frameworks (TensorFlow, PyTorch).
- Strong theoretical ML knowledge.
- Proven research publication record.
Senior AI/ML Engineer
Posted today
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Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated machine learning models for various applications (e.g., natural language processing, computer vision, predictive analytics).
- Build and maintain scalable data pipelines for training and inference.
- Conduct thorough data analysis and feature engineering to optimize model performance.
- Experiment with different algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) to find the best solutions.
- Deploy machine learning models into production environments, ensuring robustness and efficiency.
- Monitor and maintain deployed models, retraining and updating them as necessary.
- Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
- Stay current with the latest research and advancements in AI and machine learning.
- Mentor junior data scientists and engineers, fostering a culture of learning and innovation.
- Contribute to the company's intellectual property through research and development.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying machine learning models in production.
- Proficiency in programming languages such as Python and experience with ML libraries/frameworks.
- Strong understanding of algorithms, data structures, and statistical modeling.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and as part of a distributed team in a remote setting.
- Experience with MLOps practices and tools is a significant advantage.
This is a unique opportunity for a leading AI/ML expert to shape the future of intelligent systems within a pioneering, fully remote organization, pushing the boundaries of what's possible.
Senior AI/ML Engineer
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms for various applications.
- Build and maintain scalable ML pipelines for data processing, model training, and deployment.
- Collaborate with data scientists, software engineers, and product managers to understand requirements and deliver AI solutions.
- Perform data preprocessing, feature engineering, and model evaluation to ensure optimal performance.
- Optimize ML models for performance, efficiency, and scalability in production environments.
- Develop and implement MLOps practices for continuous integration, delivery, and monitoring of ML models.
- Stay up-to-date with the latest advancements in AI/ML technologies and research.
- Write clean, maintainable, and efficient code in Python and other relevant languages.
- Troubleshoot and resolve issues related to model performance and deployment.
- Contribute to the technical architecture and design of AI/ML systems.
- Mentor junior engineers and share knowledge within the team.
- Evaluate and integrate new tools and technologies to improve the ML development lifecycle.
- Conduct A/B testing and experimentation to validate model improvements.
- Ensure compliance with data privacy and security best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in building and deploying machine learning models in production.
- Proficiency in Python and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Strong understanding of various ML algorithms (supervised, unsupervised, reinforcement learning) and statistical modeling.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Solid software engineering skills, including experience with version control (Git) and CI/CD pipelines.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and effectively in a remote, fast-paced environment.
- Strong communication and collaboration skills.
- Experience with MLOps tools and practices is highly desirable.
- Familiarity with containerization technologies (Docker, Kubernetes) is a plus.
Location: Nairobi, Nairobi, KE