1,074 Machine Learning Professionals jobs in Kenya
Machine Learning Engineer
40100 Abothuguchi West
KES220000 Annually
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Posted 2 days ago
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Job Description
Our client is a leader in the AI and emerging technologies space, looking for a highly skilled Machine Learning Engineer. This position, connected to the forward-thinking environment of Garissa, Garissa, KE , is a fully remote role, enabling you to contribute to groundbreaking projects from anywhere. You will be responsible for designing, developing, and deploying machine learning models and systems that solve complex business problems. Key responsibilities include data preprocessing, feature engineering, model training and evaluation, and implementing ML pipelines for production environments. The ideal candidate will have a strong background in computer science, mathematics, or a related quantitative field, with proven experience in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in programming languages such as Python is essential. You will possess excellent analytical and problem-solving skills, a deep understanding of various ML algorithms, and the ability to work effectively in a fast-paced, remote team. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. You will collaborate closely with data scientists and software engineers to translate research into scalable solutions. This role requires a proactive approach to identifying opportunities for applying machine learning and a passion for staying current with the latest advancements in the field. Join our client to drive innovation in AI and shape the future of technology. This remote role offers the opportunity to work on challenging and impactful projects within a collaborative and supportive culture.
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0
Machine Learning Engineer
20100 Mwembe
KES105000 Annually
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Posted 2 days ago
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Job Description
Our client, a leader in leveraging AI for advanced solutions, is seeking a talented Machine Learning Engineer to join their fully remote engineering team. This role is perfect for an individual passionate about building and deploying sophisticated machine learning models that drive innovation. You will be responsible for the entire ML lifecycle, from data preprocessing and model development to deployment, monitoring, and ongoing optimization. This position offers the flexibility to work from anywhere, contributing to cutting-edge AI projects.
You will work closely with data scientists and software engineers to transform research prototypes into production-ready ML systems. This involves developing efficient data pipelines, selecting appropriate algorithms, and implementing scalable ML solutions. Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn is essential, as is proficiency in Python. You will also be involved in feature engineering, model evaluation, and working with large datasets. The ability to optimize model performance and ensure the reliability of deployed systems is crucial. Strong analytical and problem-solving skills are required, along with excellent communication skills to collaborate effectively with cross-functional teams in a remote setting. A proactive approach to identifying and resolving challenges is highly valued.
Responsibilities:
You will work closely with data scientists and software engineers to transform research prototypes into production-ready ML systems. This involves developing efficient data pipelines, selecting appropriate algorithms, and implementing scalable ML solutions. Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn is essential, as is proficiency in Python. You will also be involved in feature engineering, model evaluation, and working with large datasets. The ability to optimize model performance and ensure the reliability of deployed systems is crucial. Strong analytical and problem-solving skills are required, along with excellent communication skills to collaborate effectively with cross-functional teams in a remote setting. A proactive approach to identifying and resolving challenges is highly valued.
Responsibilities:
- Design, build, and deploy machine learning models and systems.
- Develop and maintain data pipelines for ML model training and inference.
- Implement and optimize ML algorithms using Python and relevant libraries.
- Collaborate with data scientists to translate research into production code.
- Perform feature engineering and model selection based on project requirements.
- Monitor deployed ML models for performance degradation and drift.
- Troubleshoot and resolve issues related to ML systems.
- Optimize ML models for performance, scalability, and efficiency.
- Stay current with the latest advancements in machine learning and AI.
- Document ML models, experiments, and deployment processes.
- Work with cloud platforms for ML model training and deployment.
- Contribute to the development of ML infrastructure and tooling.
- Ensure the ethical and responsible development of AI systems.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 4 years of experience in machine learning engineering or a related role.
- Strong programming skills in Python.
- Proficiency with ML libraries such as TensorFlow, PyTorch, Keras, or scikit-learn.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Understanding of MLOps principles and tools.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Ability to work independently and manage projects effectively in a remote environment.
- Experience with containerization (Docker) is a plus.
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1
Machine Learning Engineer
80201 Shella
KES950000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a talented and innovative Machine Learning Engineer to join their cutting-edge AI team, operating entirely remotely. This role is central to developing, deploying, and scaling machine learning models that drive transformative solutions. You will work on challenging problems, leveraging vast datasets and advanced algorithms to create intelligent systems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms for various applications.
- Process, clean, and transform large datasets to prepare them for model training.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Develop and maintain robust ML pipelines for training, evaluation, and deployment.
- Monitor model performance in production and implement improvements and retraining strategies.
- Research and evaluate new ML techniques, tools, and technologies.
- Contribute to the development of AI strategy and roadmaps.
- Write clean, efficient, and well-documented code in Python or other relevant languages.
- Optimize ML models for performance, scalability, and efficiency.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning.
- Collaborate effectively with cross-functional teams in a remote environment.
- Document research, experiments, and model details thoroughly.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 4-6 years of experience in machine learning engineering or a related role.
- Proven experience in developing and deploying ML models into production environments.
- Strong programming skills in Python and proficiency with ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of statistical modeling, data mining, and algorithm development.
- 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 problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, adept at working in a distributed, remote team.
- Ability to work independently and manage project priorities effectively.
- This is a fully remote position, offering flexibility and the opportunity to work on groundbreaking AI projects from anywhere. Your contributions will be vital to our client's innovation efforts in areas impacting Malindi, Kilifi, KE .
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2
Machine Learning Engineer
40100 Abothuguchi West
KES420000 Annually
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Posted 2 days ago
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Job Description
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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3
Senior AI & Machine Learning Engineer - Deep Learning
00200 Gathiruini
KES450000 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 AI & Machine Learning Engineer with a specialization in Deep Learning to join their cutting-edge research and development team. This role is ideal for an individual passionate about pushing the boundaries of artificial intelligence and developing sophisticated ML models to solve complex problems. You will be instrumental in designing, building, and deploying advanced deep learning architectures, contributing to projects that leverage AI for novel applications. The successful candidate will possess a strong theoretical foundation in machine learning, exceptional programming skills, and a proven ability to translate research into practical, scalable solutions in a remote setting.
Responsibilities:
Qualifications:
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.
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4
Principal Machine Learning Engineer
20125 Mwembe
KES7000000 Annually
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Posted today
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking a highly experienced and visionary Principal Machine Learning Engineer. This role is crucial for leading the design, development, and deployment of advanced machine learning models and systems that will drive transformative solutions. You will work on complex challenges, pushing the boundaries of what's possible in areas like natural language processing, computer vision, and predictive analytics. This position requires a deep theoretical understanding of ML algorithms, practical experience with large-scale data, and strong leadership skills to mentor a talented team of engineers. The role is based in our state-of-the-art facility in **Naivasha, Nakuru, KE**, and requires your presence on-site to foster close collaboration and leverage our advanced computational resources.
Key Responsibilities:
Key Responsibilities:
- Lead the end-to-end development lifecycle of machine learning models, from data preprocessing and feature engineering to model training, evaluation, and deployment.
- Design and implement scalable and robust ML systems, ensuring efficient performance and reliability.
- Research and apply state-of-the-art machine learning algorithms and techniques to solve challenging business problems.
- Collaborate closely with data scientists, software engineers, and product managers to define ML requirements and integrate models into production environments.
- Develop and maintain production-level code for ML pipelines and infrastructure.
- Mentor and guide junior machine learning engineers, fostering a culture of technical excellence and continuous learning.
- Evaluate and select appropriate tools, frameworks, and technologies for ML development and deployment.
- Stay abreast of the latest advancements in AI and ML research and industry trends.
- Contribute to the strategic roadmap for AI and machine learning initiatives within the company.
- Present complex technical concepts and findings to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- A minimum of 10 years of experience in machine learning engineering, with a significant focus on developing and deploying complex ML models in production.
- Deep expertise in various ML domains such as deep learning, reinforcement learning, natural language processing, and computer vision.
- Proficiency in programming languages such as Python, Java, or C++, and experience with ML libraries and frameworks like TensorFlow, PyTorch, scikit-learn, and Keras.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark).
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Proven ability to lead technical projects and mentor engineering teams.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and collaboration skills.
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5
Senior Machine Learning Engineer
10100 Nyeri Town
KES5000000 Annually
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Posted today
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Job Description
Our client is looking for a talented and driven Senior Machine Learning Engineer to join our advanced, fully remote technology team. In this role, you will be instrumental in designing, developing, and deploying sophisticated machine learning models and systems that solve complex business problems. You will work across the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and production deployment. The ideal candidate possesses a strong foundation in machine learning algorithms, statistical modeling, and software engineering best practices. Experience with deep learning frameworks (TensorFlow, PyTorch) and proficiency in Python are essential. You will collaborate closely with data scientists, software engineers, and product managers to deliver scalable and efficient ML solutions. Key responsibilities include building and maintaining ML pipelines, optimizing model performance, conducting A/B testing, and implementing MLOps practices. This position requires excellent problem-solving skills, a keen eye for detail, and the ability to work independently in a remote setting. You should have a proven track record of successfully deploying ML models into production environments. A master's or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field is preferred, along with significant professional experience. We value candidates who are passionate about leveraging data to drive innovation and who can effectively communicate complex technical concepts to both technical and non-technical audiences. This is a fully remote position, offering the flexibility to work from anywhere. You will be part of a collaborative team that encourages knowledge sharing and continuous learning. The opportunity to work on cutting-edge AI projects and make a tangible impact on our products and services makes this a truly exciting role. You will be contributing to the development of intelligent systems that will shape the future of our industry.
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6
Senior Machine Learning Engineer
20100 Mwembe
KES550000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is a cutting-edge technology firm specializing in AI & Emerging Technologies, seeking a highly skilled Senior Machine Learning Engineer to join their innovative, fully remote development team. This role is instrumental in designing, building, and deploying advanced machine learning models that power groundbreaking products and services. The ideal candidate will possess a deep understanding of ML algorithms, extensive experience with relevant programming languages and frameworks, and a proven ability to translate complex data into actionable insights. You will be responsible for the entire ML lifecycle, from data preprocessing and feature engineering to model training, validation, deployment, and ongoing monitoring and optimization. Strong collaboration skills and the ability to work independently in a remote environment are essential.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement scalable machine learning models and algorithms.
- Clean, preprocess, and engineer features from large, complex datasets.
- Train, evaluate, and deploy ML models into production environments.
- Monitor model performance and implement strategies for continuous improvement and retraining.
- Collaborate with data scientists, software engineers, and product managers to define ML requirements and integrate solutions.
- Stay current with the latest advancements in machine learning research, techniques, and tools.
- Develop and maintain robust ML pipelines and MLOps practices.
- Write high-quality, well-documented code for ML solutions.
- Optimize ML models for performance, scalability, and efficiency.
- Contribute to the technical roadmap for AI and machine learning initiatives.
- Master's or Ph.D. in Computer Science, Statistics, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in machine learning engineering or data science with a focus on model development and deployment.
- Expertise in programming languages such as Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of various ML algorithms (supervised, unsupervised, deep learning).
- Experience with MLOps tools and best practices for model deployment and lifecycle management.
- Proficiency in data manipulation and analysis using SQL and relevant libraries.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain technical concepts to diverse audiences.
- Experience working in a remote, collaborative environment.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services is a plus.
This advertiser has chosen not to accept applicants from your region.
7
Remote Machine Learning Engineer
80100 Nairobi, Nairobi
KES220000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is at the cutting edge of AI innovation and is looking for a talented and motivated Remote Machine Learning Engineer to join their distributed team. This role is entirely remote, enabling you to contribute your expertise to developing and deploying sophisticated machine learning models. You will be responsible for the entire ML lifecycle, from data preprocessing and model training to deployment and monitoring. Your work will directly impact the development of intelligent systems and data-driven solutions that enhance user experience and drive business value.
Key Responsibilities:
Key Responsibilities:
- Design, build, train, and deploy scalable machine learning models.
- Develop and implement robust data pipelines for data collection, cleaning, and feature engineering.
- Collaborate with data scientists and researchers to translate models into production-ready code.
- Optimize ML algorithms and model performance for efficiency and accuracy.
- Implement and manage MLOps best practices, including continuous integration, continuous deployment (CI/CD), and model monitoring.
- Work with large datasets and distributed computing frameworks.
- Contribute to the architecture and design of ML systems.
- Stay up-to-date with the latest advancements in ML technologies, frameworks, and best practices.
- Troubleshoot and debug production ML systems.
- Document ML models, code, and processes thoroughly.
- Master's degree or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Proven experience in developing and deploying machine learning models into production environments.
- Strong programming skills in Python and proficiency with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, Kubeflow).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and related ML services.
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, particularly in a remote team setting.
- Ability to work independently, manage priorities, and deliver high-quality results.
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8
Senior Machine Learning Engineer
30100 Abothuguchi West
KES900000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a forward-thinking technology firm specializing in cutting-edge AI solutions, is seeking a highly skilled Senior Machine Learning Engineer to join their innovative team. This role offers a flexible hybrid work arrangement, combining the benefits of remote work with essential in-person collaboration opportunities. You will be at the forefront of developing and deploying sophisticated machine learning models that solve complex business challenges and drive product innovation.
Responsibilities include designing, building, and maintaining scalable ML pipelines, experimenting with various algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and deploying models into production environments. You will work with large datasets, perform feature engineering, conduct rigorous model evaluation, and continuously iterate to improve performance. Collaboration with data scientists, software engineers, and product managers is key to translating research into production-ready solutions. A strong foundation in computer science, mathematics, and statistics is essential, along with expertise in programming languages such as Python. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices, including model monitoring, versioning, and automation, is highly desirable. The ideal candidate will have a proven track record of successfully delivering ML projects from conception to deployment. This is an exceptional opportunity to contribute to groundbreaking AI projects, working in a stimulating environment that encourages continuous learning and professional growth. The hybrid model allows for focused work at home coupled with productive team sessions at our office in Garissa. We foster a culture of innovation, where your contributions will directly impact the development of next-generation AI technologies. You will have the chance to mentor junior engineers and contribute to shaping the technical direction of our AI initiatives. Strong problem-solving skills and excellent communication abilities are crucial for success in this role. The hybrid nature of this role means candidates should be located within a commutable distance of our Garissa office for designated in-office days, typically 2-3 days per week, while enjoying the flexibility of remote work for the remainder of the week. We are dedicated to building diverse teams and encourage applications from all qualified individuals.
Location : Garissa, Garissa, KE
Responsibilities include designing, building, and maintaining scalable ML pipelines, experimenting with various algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and deploying models into production environments. You will work with large datasets, perform feature engineering, conduct rigorous model evaluation, and continuously iterate to improve performance. Collaboration with data scientists, software engineers, and product managers is key to translating research into production-ready solutions. A strong foundation in computer science, mathematics, and statistics is essential, along with expertise in programming languages such as Python. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices, including model monitoring, versioning, and automation, is highly desirable. The ideal candidate will have a proven track record of successfully delivering ML projects from conception to deployment. This is an exceptional opportunity to contribute to groundbreaking AI projects, working in a stimulating environment that encourages continuous learning and professional growth. The hybrid model allows for focused work at home coupled with productive team sessions at our office in Garissa. We foster a culture of innovation, where your contributions will directly impact the development of next-generation AI technologies. You will have the chance to mentor junior engineers and contribute to shaping the technical direction of our AI initiatives. Strong problem-solving skills and excellent communication abilities are crucial for success in this role. The hybrid nature of this role means candidates should be located within a commutable distance of our Garissa office for designated in-office days, typically 2-3 days per week, while enjoying the flexibility of remote work for the remainder of the week. We are dedicated to building diverse teams and encourage applications from all qualified individuals.
Location : Garissa, Garissa, KE
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