184 Data Science Teams jobs in Kenya
Machine Learning Engineer
40100 Abothuguchi West
KES420000 Annually
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Our client, a pioneering company in Artificial Intelligence and Machine Learning, is actively seeking a talented and innovative Machine Learning Engineer to join their cutting-edge, fully remote development team. This is a unique opportunity to work on challenging problems at the forefront of AI, developing, deploying, and scaling advanced machine learning models and systems. The ideal candidate will possess a strong foundation in computer science, a deep understanding of machine learning algorithms, and hands-on experience with ML frameworks and large-scale data processing. You will be responsible for designing ML architectures, training models, evaluating performance, and integrating them into production environments. Key responsibilities include collaborating with data scientists and software engineers, staying current with ML research, and contributing to the development of novel AI solutions. Excellent programming skills, problem-solving abilities, and a passion for innovation are essential for success in this remote role.
Responsibilities:
Responsibilities:
- Design, develop, train, and deploy machine learning models and algorithms to solve complex business problems.
- Implement and maintain scalable ML infrastructure and pipelines for data processing, model training, and deployment.
- Collaborate with data scientists to translate research models into production-ready systems.
- Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
- Develop and implement strategies for monitoring and maintaining ML models in production.
- Write clean, efficient, and well-documented code in languages such as Python.
- Stay up-to-date with the latest advancements in machine learning research, techniques, and tools.
- Contribute to the overall architecture and design of AI systems.
- Work with large datasets and distributed computing frameworks.
- Collaborate effectively with cross-functional teams in a remote environment.
- Identify opportunities for applying ML to improve products and processes.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in machine learning engineering or a related role.
- Strong programming skills in Python and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of fundamental machine learning concepts, algorithms (e.g., supervised, unsupervised, deep learning), and statistical modeling.
- Experience with data processing and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a distributed team.
- Experience with natural language processing (NLP), computer vision, or reinforcement learning is a plus.
- A proactive approach to learning and staying current with AI advancements.
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0
Principal Machine Learning Engineer
20200 Mwembe
KES300000 Annually
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Our client is at the forefront of AI innovation and is actively seeking a Principal Machine Learning Engineer to lead the development and deployment of advanced AI solutions. This is a fully remote, high-impact role for a seasoned professional with a passion for pushing the boundaries of artificial intelligence. You will be responsible for designing, building, and maintaining scalable machine learning systems, from ideation to production. This includes developing sophisticated algorithms, training complex models, and optimizing their performance for real-world applications. The Principal ML Engineer will play a critical role in shaping the company's AI strategy, collaborating closely with data scientists, software engineers, and product managers. Key responsibilities involve researching and implementing state-of-the-art ML techniques, mentoring junior engineers, and contributing to the overall technical vision of the AI team. A deep understanding of ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and data engineering principles is essential. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable. The ideal candidate will possess exceptional problem-solving skills, a strong capacity for innovation, and the ability to tackle complex technical challenges independently. Excellent communication and leadership abilities are crucial for guiding technical discussions and influencing project direction within a distributed team. We are looking for an individual who thrives in a fast-paced, cutting-edge environment and is committed to delivering impactful AI-driven products. This is an exceptional opportunity to make a significant contribution to the future of AI and build your career at a leading technology organization, working entirely from your chosen location. Join a world-class team dedicated to solving challenging problems with intelligent systems.
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1
Remote Machine Learning Engineer
01000 Makongeni
KES160000 Annually
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Posted 1 day ago
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Our client is a cutting-edge AI research and development firm seeking a highly skilled and innovative Remote Machine Learning Engineer to join their distributed team. This fully remote role is perfect for an individual passionate about building and deploying state-of-the-art machine learning models that solve complex real-world problems. You will work on challenging projects, collaborate with top AI talent, and contribute to the advancement of AI technologies, all from your home office. We are looking for a candidate with strong programming skills, a deep understanding of ML algorithms, and experience in MLOps and production deployment. Key Responsibilities:
- Design, develop, train, and deploy machine learning models for various applications, including but not limited to NLP, computer vision, and predictive analytics.
- Implement and optimize ML algorithms and data preprocessing pipelines for scalability and efficiency.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Develop and maintain MLOps pipelines for model training, evaluation, deployment, and monitoring.
- Conduct thorough experimentation and analysis to identify the best models and features for specific tasks.
- Write clean, maintainable, and well-documented code in Python and other relevant languages.
- Stay current with the latest research papers, techniques, and tools in machine learning and AI.
- Optimize model performance for inference speed and resource utilization.
- Contribute to the architectural design of ML systems and platforms.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Participate in code reviews and provide constructive feedback to peers.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- 3+ years of hands-on experience in developing and deploying machine learning models in production environments.
- Strong proficiency in Python and experience with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI).
- Familiarity with MLOps principles and tools (e.g., Docker, Kubernetes, MLflow, CI/CD for ML).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Ability to work effectively in a fast-paced, collaborative, and remote-first environment.
- Strong communication skills, with the ability to explain complex technical concepts clearly.
- Proficiency in version control systems like Git.
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2
Lead Machine Learning Engineer
00100 Abothuguchi West
KES400000 Annually
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Posted 1 day ago
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Our client is at the cutting edge of AI research and development, and we are seeking a Lead Machine Learning Engineer to spearhead our initiatives. This is a fully remote position that offers the chance to shape the future of intelligent systems. You will be responsible for designing, developing, and deploying sophisticated machine learning models and algorithms that solve complex business problems. This includes leading the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, and production deployment. The ideal candidate possesses a strong foundation in statistical modeling, algorithms, and programming, coupled with extensive experience in deep learning frameworks like TensorFlow or PyTorch. You will guide a team of talented ML engineers, mentor them on best practices, and ensure the delivery of high-impact solutions. Collaboration with data scientists, software engineers, and product managers will be essential to translate business needs into actionable ML strategies. This role requires exceptional problem-solving skills, a passion for innovation, and the ability to thrive in a challenging, remote-first environment. Your expertise will be crucial in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics, depending on project needs. We are looking for a visionary leader who can drive research, implement cutting-edge techniques, and ensure the scalability and robustness of our ML systems in production. Your ability to communicate complex technical concepts clearly to both technical and non-technical audiences will be highly valued. This is a premier opportunity to leave your mark on the AI landscape while enjoying the flexibility of remote work.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and deployment of machine learning models and algorithms.
- Manage and mentor a team of machine learning engineers.
- Oversee the end-to-end ML lifecycle, including data pipelines, feature engineering, model training, and validation.
- Implement advanced ML techniques for areas such as NLP, computer vision, or time-series analysis.
- Ensure the scalability, performance, and reliability of ML models in production environments.
- Collaborate with data scientists, software engineers, and stakeholders to define project requirements and deliverables.
- Conduct research on new ML algorithms and technologies to drive innovation.
- Optimize ML models for efficiency and performance on various hardware platforms.
- Develop and maintain MLOps best practices for continuous integration, deployment, and monitoring.
- Communicate technical findings and recommendations to both technical and business audiences.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of experience in machine learning engineering or data science.
- Proven leadership experience in managing ML engineering teams.
- Expertise in Python and ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of statistical modeling, algorithm design, and evaluation metrics.
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, CI/CD).
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and lead projects in a remote setting.
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3
Remote Machine Learning Researcher
40100 Kisumu
KES350000 Monthly
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Posted 1 day ago
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Our client is a cutting-edge AI research lab dedicated to pushing the boundaries of artificial intelligence, and we are looking for a highly innovative and research-oriented Remote Machine Learning Researcher to join our world-class team. This is a unique opportunity for a passionate individual to contribute to foundational AI research, develop novel algorithms, and publish impactful findings. As a fully remote position, you will have the flexibility to work from your ideal location while collaborating with a global team of leading scientists and engineers. Your primary responsibilities will involve conducting in-depth research in areas such as deep learning, reinforcement learning, computer vision, natural language processing, or AI ethics. You will design and implement experimental frameworks, analyze complex datasets, and develop new theoretical models. We expect you to stay at the forefront of academic and industry advancements, identifying emerging trends and potential research avenues. A significant part of your role will be to disseminate your research through publications in top-tier academic conferences and journals, as well as internal technical reports. Collaboration is key, and you will work closely with other researchers and engineers to translate theoretical breakthroughs into practical applications. The ideal candidate holds a Ph.D. or Master's degree in Computer Science, Machine Learning, or a closely related field, with a strong publication record. Exceptional programming skills in Python and extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) are mandatory. A deep theoretical understanding of machine learning principles and a proven ability to conduct independent research are essential. We are looking for individuals who are intellectually curious, possess strong analytical and critical thinking skills, and are driven by the pursuit of scientific discovery. If you are eager to contribute to the future of AI and thrive in a collaborative, research-intensive, and remote environment, this position is for you.Responsibilities:
- Conduct theoretical and empirical research in cutting-edge areas of machine learning and artificial intelligence.
- Design, develop, and implement novel algorithms and models.
- Analyze and interpret large, complex datasets to extract insights and validate research hypotheses.
- Stay abreast of the latest research trends and advancements in the field of AI.
- Publish research findings in leading academic conferences and journals.
- Collaborate with other researchers and engineers to prototype and test new AI techniques.
- Develop technical documentation and present research results to internal and external audiences.
- Contribute to the development of intellectual property and potential product applications.
- Mentor junior researchers and contribute to the growth of the research team.
- Maintain high standards of scientific rigor and ethical conduct in all research activities.
- Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Demonstrated track record of research in AI/ML, evidenced by publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR) or journals.
- Expertise in one or more AI subfields such as deep learning, reinforcement learning, NLP, or computer vision.
- Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Solid theoretical understanding of machine learning algorithms and statistical modeling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to conduct independent research and work effectively in a remote, collaborative environment.
- Strong written and verbal communication skills for presenting complex ideas.
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4
Senior Machine Learning Engineer
40300 Shella
KES220000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a highly skilled and innovative Senior Machine Learning Engineer to join their cutting-edge AI team. This is a fully remote position, providing an exceptional opportunity to work on challenging projects with a globally distributed team. The ideal candidate will have a strong background in developing, deploying, and scaling machine learning models. You will be responsible for designing and implementing ML solutions, building robust data pipelines, and collaborating with researchers and software engineers to bring AI innovations to life. A deep understanding of various ML algorithms, statistical modeling, and software engineering best practices is essential. You will play a key role in shaping the future of our client's AI capabilities.
Responsibilities:
Qualifications:
This fully remote role, based in the vicinity of Malindi, Kilifi, KE , offers the flexibility to work from your preferred location. We are looking for passionate and skilled ML engineers ready to make a significant impact.
Responsibilities:
- Design, develop, and implement production-level machine learning models and algorithms.
- Build and maintain scalable data pipelines for training and inference.
- Collaborate with data scientists and researchers to translate experimental models into production systems.
- Optimize machine learning models for performance, scalability, and efficiency.
- Develop and implement MLOps practices for model deployment, monitoring, and lifecycle management.
- Conduct rigorous experimentation and evaluation of ML models.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI.
- Write high-quality, maintainable code in Python and relevant ML frameworks.
- Troubleshoot and resolve issues related to ML systems in production.
- Mentor junior engineers and contribute to the growth of the ML team.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in machine learning engineering or a related role, with a proven track record of deploying models into production.
- Expertise in programming languages such as Python, and ML libraries/frameworks like TensorFlow, PyTorch, scikit-learn, Keras.
- Strong understanding of data structures, algorithms, and software design principles.
- Experience with cloud platforms (AWS, GCP, Azure) and their ML services.
- Proficiency in MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD, MLflow).
- Solid understanding of statistical modeling and data analysis techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, able to work effectively in a remote team.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
This fully remote role, based in the vicinity of Malindi, Kilifi, KE , offers the flexibility to work from your preferred location. We are looking for passionate and skilled ML engineers ready to make a significant impact.
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5
Senior Machine Learning Engineer
50100 Kapsuser
KES190000 Annually
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Posted 2 days ago
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Job Description
Our client, a forward-thinking technology company renowned for its innovative AI solutions, is seeking a highly skilled Senior Machine Learning Engineer to join their dynamic team. This hybrid role offers a blend of in-office collaboration and remote flexibility, allowing you to contribute to cutting-edge projects while maintaining a balanced work-life. You will be responsible for designing, developing, deploying, and maintaining machine learning models and systems that drive significant business value. The ideal candidate possesses a strong theoretical foundation in machine learning algorithms and practical experience in building scalable ML pipelines, MLOps, and deploying models into production environments. Responsibilities include data preprocessing, feature engineering, model selection, training, evaluation, and optimization. You will collaborate closely with data scientists, software engineers, and product managers to translate complex business problems into effective ML solutions. Experience with cloud platforms (AWS, Azure, GCP), big data technologies, and MLOps tools is essential. This role requires excellent problem-solving skills, a deep understanding of statistical modeling, and proficiency in programming languages such as Python, along with ML libraries like TensorFlow or PyTorch. The ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders is crucial. This is an exciting opportunity to work on challenging ML problems, contribute to impactful products, and grow your career in a rapidly evolving field.
Responsibilities:
Responsibilities:
- Design, build, and deploy machine learning models and pipelines.
- Develop and maintain production-level ML systems and infrastructure.
- Collaborate with data scientists and engineers to integrate ML solutions.
- Perform data analysis, feature engineering, and model evaluation.
- Optimize model performance for accuracy, scalability, and efficiency.
- Implement MLOps best practices for continuous integration and deployment.
- Stay current with advancements in ML algorithms and technologies.
- Troubleshoot and resolve issues in ML production environments.
- Mentor junior ML engineers and contribute to team knowledge sharing.
- Communicate technical findings and recommendations to stakeholders.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
- Minimum of 5 years of experience in machine learning engineering or data science.
- Proven experience in building and deploying ML models in production.
- Strong programming skills in Python and proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Solid understanding of statistical modeling and data analysis techniques.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and collaboration abilities.
This advertiser has chosen not to accept applicants from your region.
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6
Lead Machine Learning Engineer
60200 Meru , Eastern
KES750000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is at the forefront of AI and Emerging Technologies, and they are seeking a talented Lead Machine Learning Engineer for a fully remote position. This role is crucial for designing, developing, and deploying scalable machine learning systems that power innovative products and services. You will lead a team of engineers and scientists, architecting robust ML pipelines, and ensuring the efficient productionization of models. The ideal candidate combines strong software engineering skills with a deep understanding of ML algorithms and their practical application. As a remote-first company, strong communication and collaboration are paramount.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of production-grade machine learning systems and infrastructure.
- Architect and build scalable ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Collaborate with AI researchers and data scientists to translate experimental models into robust production code.
- Mentor and guide a team of machine learning engineers, fostering best practices in software development and ML engineering.
- Optimize ML models and systems for performance, scalability, and reliability.
- Develop and maintain automated testing and monitoring systems for ML deployments.
- Stay up-to-date with the latest advancements in ML engineering tools, frameworks, and methodologies.
- Work closely with product management and engineering teams to understand requirements and deliver impactful ML solutions.
- Champion best practices for data management, model versioning, and reproducibility.
- Troubleshoot and resolve issues in production ML systems.
- Contribute to the overall technical strategy for AI and ML initiatives.
- Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
- 5+ years of experience in software engineering, with a significant focus on machine learning engineering.
- Proven experience designing and implementing production ML systems.
- Strong proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn.
- Expertise in building and deploying ML models using cloud platforms (AWS, Azure, GCP).
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Solid understanding of data structures, algorithms, and software design principles.
- Experience with MLOps practices, including CI/CD for ML pipelines.
- Excellent problem-solving, debugging, and analytical skills.
- Strong communication and leadership abilities, essential for a remote lead role.
- Experience managing and mentoring technical teams is highly preferred.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
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7
Senior Machine Learning Engineer
30100 Tuwan
KES180000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their innovative, fully remote team. This role is critical for designing, developing, and deploying advanced machine learning models and systems that drive intelligent solutions. You will work on challenging problems, leveraging cutting-edge AI techniques to extract insights from complex data and build scalable ML pipelines.
The ideal candidate will have a strong background in computer science, data science, or a related quantitative field, coupled with extensive hands-on experience in building and deploying ML models in production environments. Responsibilities include feature engineering, model selection, training, evaluation, and optimization. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into robust ML solutions. Expertise in programming languages like Python, and proficiency with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Keras) are essential. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable.
This is a remote-first position, requiring excellent communication, strong problem-solving skills, and the ability to work autonomously within a collaborative virtual team. You will be instrumental in shaping our client's AI capabilities, staying abreast of the latest research and technological advancements. We are looking for a proactive individual with a passion for solving complex problems using data and a proven ability to deliver high-impact ML solutions that drive business value.
Responsibilities:
The ideal candidate will have a strong background in computer science, data science, or a related quantitative field, coupled with extensive hands-on experience in building and deploying ML models in production environments. Responsibilities include feature engineering, model selection, training, evaluation, and optimization. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into robust ML solutions. Expertise in programming languages like Python, and proficiency with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Keras) are essential. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable.
This is a remote-first position, requiring excellent communication, strong problem-solving skills, and the ability to work autonomously within a collaborative virtual team. You will be instrumental in shaping our client's AI capabilities, staying abreast of the latest research and technological advancements. We are looking for a proactive individual with a passion for solving complex problems using data and a proven ability to deliver high-impact ML solutions that drive business value.
Responsibilities:
- Design, develop, and deploy machine learning models and algorithms.
- Build and maintain scalable ML pipelines for data processing and model training.
- Collaborate with data scientists and engineers to implement ML solutions.
- Perform data analysis, feature engineering, and model evaluation.
- Optimize ML models for performance, accuracy, and scalability.
- Stay current with the latest advancements in machine learning and AI research.
- Contribute to the MLOps strategy and best practices.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Document ML models, processes, and experimental results.
- Mentor junior engineers and contribute to team knowledge sharing.
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 5-7 years of experience in machine learning engineering or related roles.
- Proven experience in building and deploying ML models in production.
- Proficiency in Python and ML libraries/frameworks (Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Experience with MLOps tools and practices is a significant plus.
This advertiser has chosen not to accept applicants from your region.
8
AI & Machine Learning Apprentice
60200 Meru , Eastern
KES1200 Hourly
WhatJobs
Posted 3 days ago
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Job Description
Embark on a transformative career journey with our client, a pioneering technology firm, as an AI & Machine Learning Apprentice. This is an exceptional opportunity for ambitious individuals to gain hands-on experience in cutting-edge artificial intelligence and machine learning technologies within a fully remote setting. You will work alongside seasoned data scientists and engineers, contributing to real-world projects that push the boundaries of innovation. Your responsibilities will include data collection, preprocessing, feature engineering, and assisting in the development and testing of machine learning models. You will gain exposure to various ML algorithms, deep learning frameworks, and cloud platforms. The program is designed to provide comprehensive training, mentorship, and practical exposure to the entire ML lifecycle. We are looking for candidates with a strong foundational understanding of programming (preferably Python) and a keen interest in AI/ML. A solid grasp of mathematics, statistics, and algorithms is highly beneficial. This apprenticeship is fully remote, requiring you to have a reliable internet connection and a dedicated workspace. You will participate in virtual team meetings, collaborative coding sessions, and online learning modules. The goal is to equip you with the skills and knowledge necessary to become a future leader in the AI and ML domain. Successful candidates will have the chance to develop solutions for complex problems, contributing to projects that have a significant impact. This role offers a unique chance to learn from the best in the field and build a robust portfolio. We encourage applicants from diverse backgrounds who are passionate about technology and eager to learn. This position offers a fantastic stepping stone for individuals looking to build a career in AI and machine learning, providing invaluable experience in a dynamic and evolving field. This role is focused on supporting our client's technological advancements from Meru, Meru, KE , with a fully remote structure.
This advertiser has chosen not to accept applicants from your region.
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