22 Deep Learning jobs in Kenya
Graduate Trainee - Data Science
60100 Garissa, North Eastern
KES45000 month
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Posted 1 day ago
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Our client is looking for bright and ambitious Graduate Trainees to join their Data Science team. This is a fully remote opportunity, allowing you to develop your skills and contribute to impactful projects from anywhere. You will be involved in analyzing large datasets, building predictive models, and generating actionable insights to drive business decisions. This program offers intensive training, mentorship from experienced data scientists, and exposure to real-world data challenges.
Program Overview:
Program Overview:
- Receive comprehensive training in data science methodologies, tools, and techniques.
- Work on real-world data projects under the guidance of senior data scientists.
- Learn to clean, process, and transform complex datasets using various programming languages (e.g., Python, R).
- Develop and implement machine learning models for tasks such as prediction, classification, and clustering.
- Perform statistical analysis to uncover patterns and trends in data.
- Create data visualizations and dashboards to communicate findings effectively.
- Collaborate with business stakeholders to understand data requirements and deliver insights.
- Participate in code reviews and learn best practices for data science workflows.
- Stay updated on the latest advancements in AI, machine learning, and data analytics.
- Contribute to the development of data-driven strategies.
- Gain experience with cloud platforms (e.g., AWS, Azure, GCP) for data science tasks.
- Develop strong problem-solving and critical thinking skills.
- Present findings and recommendations to team members and management.
- Engage in continuous learning and professional development.
- This is an internship position with the potential for full-time employment.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills, comfortable presenting findings.
- Ability to work independently and collaboratively in a remote team environment.
- A keen interest in data and a passion for uncovering insights.
- Proactive attitude and a desire to learn and grow in the field of data science.
- Reliable internet connection and a dedicated remote workspace.
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0
Remote Graduate Research Assistant - Data Science
50100 Kakamega, Western
KES35000 month
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Our client, a forward-thinking research institution focused on emerging technologies, is looking for a motivated Graduate Research Assistant to join their fully remote team. This internship provides an excellent opportunity for individuals pursuing advanced degrees in Data Science, Computer Science, Statistics, or a related quantitative field to gain hands-on experience. You will support ongoing research projects by collecting, cleaning, and analyzing large datasets using advanced statistical and machine learning techniques. Your responsibilities will include developing data visualizations, building predictive models, assisting with the interpretation of research findings, and contributing to the preparation of research papers and presentations. This role requires strong programming skills in languages such as Python or R, familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow), and experience with data manipulation tools (e.g., Pandas, SQL). You will collaborate closely with senior researchers and fellow interns through virtual platforms, requiring excellent communication and teamwork skills. The ideal candidate is curious, detail-oriented, and eager to learn, with a solid understanding of statistical modeling and data mining concepts. This fully remote position allows you to contribute to groundbreaking research from any location. We are looking for individuals who are passionate about leveraging data to uncover insights and drive innovation.
Key Responsibilities:
Key Responsibilities:
- Assist in the design and execution of research projects involving data analysis.
- Collect, clean, and preprocess large datasets from various sources.
- Apply statistical methods and machine learning algorithms for data analysis.
- Develop data visualizations to communicate research findings effectively.
- Contribute to the development of predictive models and algorithms.
- Support the interpretation of research results and prepare reports.
- Collaborate with research teams through virtual communication channels.
- Stay updated on the latest advancements in data science and machine learning.
- Assist in the preparation of research papers, presentations, and publications.
- Currently pursuing or recently completed a Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Strong programming skills in Python or R.
- Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Proficiency in data manipulation libraries (e.g., Pandas, NumPy) and SQL.
- Solid understanding of statistical modeling, data mining, and machine learning techniques.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills for remote collaboration.
- Ability to work independently and manage tasks effectively in a remote setting.
- Enthusiasm for research and a desire to learn new technologies.
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1
Senior Machine Learning Engineer
20100 Mwembe
KES160000 Annually
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Our client is seeking an experienced Senior Machine Learning Engineer to join their innovative and entirely remote AI and Emerging Technologies team. This role is central to developing and deploying sophisticated machine learning models that drive business value. You will be responsible for designing, building, and optimizing ML pipelines, working with large and complex datasets, and implementing state-of-the-art algorithms. The ideal candidate will have a strong background in software engineering, a deep understanding of various machine learning techniques (supervised, unsupervised, deep learning), and proven experience with ML frameworks and libraries. You should be proficient in Python and have hands-on experience with cloud ML platforms. Excellent problem-solving skills, a proactive approach, and the ability to collaborate effectively with data scientists, product managers, and other engineers in a remote setting are essential. This position offers the opportunity to work on challenging problems and contribute to the advancement of AI technologies. Key responsibilities include:
- Designing, developing, and deploying machine learning models and algorithms.
- Building and maintaining scalable ML pipelines for training and inference.
- Collaborating with data scientists to translate research models into production-ready code.
- Optimizing model performance for accuracy, efficiency, and scalability.
- Implementing MLOps practices for continuous integration and deployment.
- Working with large datasets, ensuring data quality and integrity.
- Evaluating and integrating new ML technologies and tools.
- Mentoring junior engineers and contributing to team knowledge sharing.
- Staying up-to-date with the latest research and advancements in machine learning.
- Documenting ML models, pipelines, and processes.
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2
Senior Data Scientist - Machine Learning
10100 Nyeri Town
KES240000 Annually
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Our client is looking for an accomplished Senior Data Scientist with a strong specialization in Machine Learning to join our growing, hybrid team. This role is pivotal in leveraging vast datasets to extract actionable insights, build predictive models, and drive data-informed decision-making across the organization. You will be responsible for the entire machine learning lifecycle, from data collection and preprocessing to model development, evaluation, and deployment. The ideal candidate will have a deep understanding of various machine learning algorithms, statistical modeling techniques, and experience with programming languages such as Python or R, along with libraries like TensorFlow, PyTorch, and scikit-learn. Your responsibilities will include identifying business challenges that can be solved with data science, designing and implementing ML solutions, and communicating complex findings clearly to both technical and non-technical stakeholders. You will work closely with domain experts, software engineers, and product managers to integrate ML models into existing products and workflows. Experience with cloud platforms (AWS, Azure, GCP) for data storage, processing, and ML model deployment is highly valued. We are seeking a proactive individual who can work independently, manage multiple projects concurrently, and mentor junior data scientists. A passion for staying ahead of the curve in machine learning research and a commitment to ethical AI practices are essential. You will play a key role in shaping our client's data strategy and unlocking new opportunities through advanced analytics. This role offers a unique opportunity to work on challenging problems, contribute to innovation, and make a significant impact on the business.
Responsibilities:
Responsibilities:
- Develop, train, and deploy machine learning models to solve business problems.
- Perform data mining, statistical analysis, and exploratory data analysis.
- Clean, preprocess, and transform large datasets for ML model training.
- Evaluate model performance and iterate to improve accuracy and efficiency.
- Communicate complex analytical findings and insights to stakeholders.
- Collaborate with engineering teams to integrate ML models into production systems.
- Stay current with the latest advancements in machine learning and data science.
- Identify new opportunities for applying ML techniques to business challenges.
- Develop and maintain robust data pipelines and ML workflows.
- Mentor junior data scientists and contribute to team knowledge sharing.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist, with a focus on Machine Learning.
- Proven experience in developing and deploying various ML models (e.g., regression, classification, clustering, deep learning).
- Proficiency in Python or R, and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with SQL and NoSQL databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark).
- Strong understanding of statistical concepts and experimental design.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills for technical and non-technical audiences.
- Ability to work independently and manage project priorities in a hybrid work environment.
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3
AI Research Scientist - Machine Learning
80203 Nairobi, Nairobi
KES150000 Annually
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Our client is seeking a highly innovative and skilled AI Research Scientist specializing in Machine Learning to join their cutting-edge research team. This is a fully remote position, offering an exceptional opportunity to contribute to groundbreaking advancements in artificial intelligence from anywhere. You will be responsible for researching, developing, and implementing advanced machine learning models and algorithms to solve complex problems across various domains. Your work will involve exploring new AI techniques, designing experiments, analyzing results, and translating research findings into practical applications. Key responsibilities include staying abreast of the latest developments in AI and ML, collaborating with cross-functional teams to define research objectives, developing and validating predictive models, and contributing to the publication of research findings. You will also work with large datasets, employing techniques such as deep learning, natural language processing, and computer vision. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a strong publication record. Proven experience in developing and deploying machine learning models in real-world scenarios is essential. Proficiency in programming languages like Python, and deep learning frameworks such as TensorFlow or PyTorch, is required. Strong analytical, mathematical, and problem-solving skills, along with excellent communication and collaboration abilities, are critical. If you are a passionate AI researcher driven by intellectual curiosity and a desire to push the boundaries of what's possible with AI, this remote role is an ideal fit. Join us in shaping the future of artificial intelligence.
Responsibilities:
Responsibilities:
- Conduct research and development in machine learning and AI.
- Develop and implement advanced ML algorithms and models.
- Analyze large datasets and identify patterns and insights.
- Collaborate with engineers to deploy AI solutions.
- Stay current with AI research trends and methodologies.
- Publish research findings and contribute to intellectual property.
- Ph.D. or Master's degree in Computer Science, AI, ML, or related field.
- Proven experience in machine learning research and development.
- Expertise in deep learning, NLP, or computer vision.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Strong mathematical and statistical background.
- Excellent research, analytical, and communication skills.
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4
Senior Machine Learning Engineer (NLP)
00203 Abothuguchi West
KES160000 month
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Our client is seeking a highly skilled and innovative Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their cutting-edge AI team. This is a fully remote position, offering the opportunity to work on challenging and impactful projects from anywhere. The successful candidate will be responsible for designing, developing, and deploying advanced NLP models and solutions that drive business value. Your expertise will be critical in areas such as sentiment analysis, text classification, named entity recognition, topic modeling, and question answering systems. You will lead the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. This role involves collaborating with data scientists, software engineers, and product managers to understand requirements and translate them into effective AI solutions. Key responsibilities include researching and implementing state-of-the-art NLP algorithms and techniques, optimizing model performance, and ensuring scalability and robustness of deployed systems. You will also be involved in identifying new opportunities to leverage NLP for product innovation and process automation. The Senior Machine Learning Engineer will play a key role in mentoring junior team members and contributing to the overall technical strategy of the AI division. A strong foundation in Python programming, machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn), and NLP toolkits (e.g., NLTK, SpaCy, Hugging Face Transformers) is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. You should possess excellent analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. This is an exciting opportunity to work with a talented team on transformative AI projects that are shaping the future of our client's offerings. The ideal candidate is passionate about NLP, committed to continuous learning, and eager to contribute to a collaborative and innovative work environment. You will be instrumental in pushing the boundaries of what's possible with language-based AI, driving significant impact through your technical expertise and creative solutions. Your work will directly influence product development and customer-facing applications, requiring a keen understanding of user needs and business objectives.
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5
AI & Machine Learning Solutions Architect (Remote)
10102 Nyeri Town
KES220000 Annually
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Our client is seeking a visionary AI & Machine Learning Solutions Architect to design and implement cutting-edge artificial intelligence and machine learning solutions. This is a fully remote position, offering the opportunity to work with a highly skilled team on transformative projects. You will be responsible for architecting scalable and robust AI/ML systems, translating business requirements into technical solutions, and guiding the development lifecycle from conception to deployment.
Key responsibilities include evaluating and selecting appropriate AI/ML algorithms and frameworks, designing data pipelines for model training and deployment, and building proof-of-concepts for new AI initiatives. You will collaborate closely with data scientists, software engineers, and business stakeholders to understand needs and deliver effective solutions. Developing MLOps strategies for model deployment, monitoring, and maintenance is also a critical part of the role. Staying abreast of the latest advancements in AI, machine learning, and deep learning, and identifying opportunities to leverage these technologies to drive business value is essential. You will also provide technical leadership and mentorship to development teams, ensuring best practices are followed.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of experience in designing and implementing AI/ML solutions, with a strong portfolio of successful projects, is required. Deep understanding of machine learning algorithms, statistical modeling, and programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) is essential. Proven experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services is a must. Strong architectural skills, including the ability to design for scalability, reliability, and security, are critical. Excellent communication, presentation, and interpersonal skills are necessary to effectively convey complex technical concepts to both technical and non-technical audiences. The ability to work independently, manage complex projects, and contribute effectively in a remote, collaborative environment is paramount. If you are passionate about AI and possess the technical depth and architectural vision, this remote role is for you.
Key responsibilities include evaluating and selecting appropriate AI/ML algorithms and frameworks, designing data pipelines for model training and deployment, and building proof-of-concepts for new AI initiatives. You will collaborate closely with data scientists, software engineers, and business stakeholders to understand needs and deliver effective solutions. Developing MLOps strategies for model deployment, monitoring, and maintenance is also a critical part of the role. Staying abreast of the latest advancements in AI, machine learning, and deep learning, and identifying opportunities to leverage these technologies to drive business value is essential. You will also provide technical leadership and mentorship to development teams, ensuring best practices are followed.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of experience in designing and implementing AI/ML solutions, with a strong portfolio of successful projects, is required. Deep understanding of machine learning algorithms, statistical modeling, and programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) is essential. Proven experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services is a must. Strong architectural skills, including the ability to design for scalability, reliability, and security, are critical. Excellent communication, presentation, and interpersonal skills are necessary to effectively convey complex technical concepts to both technical and non-technical audiences. The ability to work independently, manage complex projects, and contribute effectively in a remote, collaborative environment is paramount. If you are passionate about AI and possess the technical depth and architectural vision, this remote role is for you.
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6
Lead Data Scientist - AI & Machine Learning
40100 Kisumu
KES250000 Annually
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Our client, a cutting-edge research institution, is seeking a Lead Data Scientist with expertise in Artificial Intelligence and Machine Learning to spearhead groundbreaking projects. This fully remote position requires a visionary leader to guide a team of data scientists in developing and implementing advanced analytical models and AI solutions. You will be responsible for identifying opportunities for AI/ML application, designing experimental frameworks, and translating complex data into actionable insights. Key responsibilities include developing predictive models, building robust machine learning pipelines, conducting rigorous model validation, and deploying solutions into production environments. The ideal candidate will have extensive experience with Python, R, TensorFlow, PyTorch, and various statistical and ML libraries. You will also be expected to mentor junior team members, foster a culture of innovation, and communicate findings effectively to both technical and non-technical stakeholders. This role is entirely remote, offering a unique opportunity to work from anywhere within Kenya. Your role will involve deep dives into large datasets, uncovering patterns, and driving strategic decisions through data-driven insights. You will be expected to lead research initiatives, publish findings where appropriate, and stay at the forefront of AI/ML advancements. Experience with cloud platforms such as AWS, Azure, or GCP, and big data technologies like Spark and Hadoop, is essential. We are looking for a candidate with a strong academic background, proven leadership capabilities, and a passion for solving complex scientific problems using data. Your ability to architect scalable and efficient ML systems will be critical. This is an excellent opportunity to contribute to significant research and development efforts in a collaborative, remote setting. The role demands exceptional problem-solving skills, creativity in approach, and a commitment to pushing the boundaries of what's possible with AI and machine learning. Join our client's team and help shape the future of scientific discovery through advanced data science. Your impact will be measured by the innovation and practical application of the models you help create and deploy.
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7
Principal Machine Learning Engineer - Computer Vision
60103 Mlolongo, Eastern
KES200000 Annually
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Our client is looking for a Principal Machine Learning Engineer with a specialization in Computer Vision to join their groundbreaking AI research and development team. This is a fully remote opportunity, allowing you to contribute your expertise from anywhere in Kenya. You will play a pivotal role in designing, developing, and deploying cutting-edge computer vision models and algorithms that power innovative solutions. Your responsibilities will include leading the end-to-end lifecycle of machine learning projects, from data acquisition and preprocessing to model training, evaluation, and deployment. You will research and implement state-of-the-art deep learning architectures for tasks such as object detection, image segmentation, and facial recognition. Collaboration with data scientists, software engineers, and product managers will be key to translating research findings into practical applications. The ideal candidate will possess extensive experience in Python, deep learning frameworks (TensorFlow, PyTorch), and computer vision libraries (OpenCV). A strong theoretical foundation in machine learning, linear algebra, and calculus is essential. Proven ability to mentor junior engineers and drive technical initiatives is highly valued. If you are driven by challenging problems, passionate about pushing the boundaries of AI, and eager to make a significant impact in a remote-first, collaborative environment, we encourage you to apply. Your contributions will directly influence the development of next-generation AI technologies. This role demands deep technical expertise and a proactive approach to innovation in the computer vision domain. You will be expected to publish research and contribute to open-source projects.
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