1,807 Machine Learning Models jobs in Kenya
Senior AI/ML Engineer - Predictive Modeling & Data Science
Posted 1 day ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI and emerging technologies, is actively seeking a Senior AI/ML Engineer to join their globally distributed, fully remote team. This pivotal role involves designing, developing, and deploying advanced machine learning models and AI solutions that solve complex business problems and drive innovation. You will leverage your deep expertise in algorithms, statistical modeling, and data science to build robust, scalable, and performant AI systems. The ideal candidate will have a strong theoretical foundation in machine learning, a practical understanding of deep learning frameworks, and experience with large-scale data processing and cloud platforms. You will collaborate with researchers, data scientists, and software engineers to bring state-of-the-art AI capabilities to life. This is an exceptional opportunity to work on transformative AI projects in a flexible, remote work environment.
Responsibilities:
Responsibilities:
- Design, build, train, and deploy machine learning models for various applications, including but not limited to predictive analytics, natural language processing, computer vision, and recommendation systems.
- Develop and implement deep learning architectures using frameworks such as TensorFlow, PyTorch, or Keras.
- Perform data preprocessing, feature engineering, and model evaluation to ensure optimal performance.
- Work with large datasets, utilizing big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define project requirements and deliver AI solutions.
- Research and stay abreast of the latest advancements in AI, machine learning, and related fields.
- Optimize ML models for performance, scalability, and efficiency in production environments.
- Develop APIs and integrate ML models into existing software systems and applications.
- Contribute to the development of AI strategy and roadmap.
- Document methodologies, code, and model performance.
- Mentor junior engineers and contribute to the knowledge sharing within the AI/ML team.
- Ensure ethical considerations and bias mitigation in AI model development.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering and data science.
- Strong theoretical and practical knowledge of various machine learning algorithms (e.g., regression, classification, clustering, reinforcement learning).
- Proficiency in programming languages such as Python, R, or Java.
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Experience with cloud platforms (AWS, Azure, GCP) and related ML services.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and databases (SQL/NoSQL).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team.
- Proven ability to work independently and manage complex projects in a fast-paced environment.
- Experience with MLOps practices is a significant plus.
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AI Research Scientist - Machine Learning Models
Posted 22 days ago
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Job Description
Our client is seeking a brilliant and innovative AI Research Scientist to join their cutting-edge Artificial Intelligence division, focusing on developing advanced machine learning models. This is a fully remote role, allowing top-tier talent to contribute to pioneering AI research from anywhere in the world. You will be at the forefront of designing, implementing, and evaluating novel ML algorithms for complex problems, pushing the boundaries of what's possible in AI. This position requires a strong theoretical foundation in machine learning, exceptional programming skills, and a passion for creating impactful AI solutions.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and artificial intelligence.
- Design, develop, and implement novel ML algorithms and models for various applications.
- Collaborate with a team of AI researchers and engineers to define research objectives and approaches.
- Analyze and interpret large datasets to train and validate ML models.
- Optimize ML models for performance, scalability, and efficiency.
- Stay current with the latest research papers, trends, and advancements in AI and ML.
- Publish research findings in top-tier AI conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the efficacy of new AI techniques.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and interns in the field of AI.
- Effectively communicate complex technical concepts to both technical and non-technical audiences.
- Manage research projects and timelines in a remote research environment.
- Evaluate and integrate new AI tools and frameworks.
- Ensure reproducibility and rigorous validation of research outcomes.
- Contribute to the strategic direction of AI research within the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of research experience in machine learning or a related AI field.
- Proven track record of research contributions, including publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR) or journals.
- Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, natural language processing, computer vision, or generative models.
- Proficiency in programming languages commonly used in AI research, such as Python, with strong experience in libraries like TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.
- Solid understanding of mathematical foundations of ML, including linear algebra, calculus, and probability theory.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) for ML workloads is a plus.
- Ability to work independently and drive research initiatives forward with minimal supervision.
- A deep passion for advancing the field of Artificial Intelligence and its applications.
- Experience with large-scale data analysis and distributed computing frameworks (e.g., Spark) is beneficial.
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Lead AI Research Scientist - Machine Learning Models
Posted 25 days ago
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Job Description
Our client is seeking a visionary Lead AI Research Scientist to spearhead groundbreaking research in machine learning and artificial intelligence. This is a fully remote position, enabling you to contribute your expertise from any location. You will lead a team of talented researchers in developing novel algorithms and models that push the boundaries of AI. Your work will involve designing and executing research experiments, analyzing complex datasets, and publishing findings in leading academic journals and conferences. The ideal candidate has a Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field, with a strong publication record and a demonstrated ability to lead research initiatives. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), natural language processing, computer vision, or reinforcement learning is highly desirable. You should be proficient in programming languages such as Python and have experience with large-scale data processing. This role demands exceptional problem-solving skills, creativity, and a passion for tackling challenging scientific problems. The ability to mentor junior researchers, foster a collaborative research environment, and communicate complex ideas clearly through written reports and presentations is essential. You will be instrumental in shaping the future direction of AI within the organization. This remote role requires a high degree of autonomy, strong organizational skills, and effective virtual collaboration capabilities. Minimum of 5 years of post-doctoral research experience is required.
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2
AI Research Engineer - Machine Learning Models
Posted 25 days ago
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Job Description
Our client is seeking a brilliant and driven AI Research Engineer to advance their capabilities in machine learning and artificial intelligence. This is a fully remote position, allowing you to contribute your expertise from anywhere in the world. You will be responsible for researching, developing, and implementing state-of-the-art machine learning models and algorithms to solve complex business challenges. This role requires a deep understanding of various AI techniques, including deep learning, natural language processing, computer vision, and reinforcement learning. Responsibilities include designing and conducting experiments to evaluate model performance, optimizing algorithms for efficiency and scalability, and staying abreast of the latest advancements in the AI field. You will collaborate closely with software engineers and product managers to integrate AI solutions into our platforms and services. Experience with major deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn) is required. The ideal candidate will have a strong theoretical foundation in machine learning, coupled with practical experience in deploying models into production environments. Excellent problem-solving skills, strong analytical abilities, and exceptional communication skills are necessary. You must be comfortable working independently in a remote setting, driving research initiatives, and presenting complex technical findings to diverse audiences. This is an exceptional opportunity to work on cutting-edge AI technologies, push the boundaries of what's possible, and make a significant impact on our company's innovation trajectory. We are looking for individuals who are passionate about AI, possess a strong academic background, and are eager to contribute to groundbreaking research and development. Your innovative thinking will be key to developing next-generation AI solutions.
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3
Senior AI Research Scientist - Machine Learning Models
Posted 23 days ago
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Job Description
Our client, a cutting-edge organization at the forefront of AI innovation, is seeking a brilliant and experienced Senior AI Research Scientist to join their advanced R&D team. This role is crucial for pushing the boundaries of artificial intelligence by developing and refining sophisticated machine learning models. The ideal candidate will possess a deep theoretical understanding of AI/ML algorithms, a strong practical background in model development and implementation, and a passion for creating intelligent systems that solve complex real-world problems. You will work collaboratively with a team of world-class researchers and engineers to advance the state-of-the-art in AI.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, natural language processing, computer vision, or related AI fields.
- Design, develop, train, and evaluate advanced machine learning models.
- Implement and optimize AI algorithms for performance and scalability.
- Collaborate with engineering teams to deploy AI models into production environments.
- Stay abreast of the latest research papers, trends, and advancements in the AI/ML community.
- Contribute to intellectual property through publications, patents, and presentations.
- Mentor junior researchers and engineers, sharing knowledge and fostering innovation.
- Define research roadmaps and identify new areas for AI exploration and application.
- Analyze and interpret complex datasets to extract meaningful insights and inform model development.
- Develop novel approaches to address challenging AI problems and create intelligent solutions.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record.
- Expertise in one or more core AI/ML areas (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn.
- Experience with large-scale data processing and distributed computing frameworks.
- Strong understanding of mathematical and statistical concepts underlying AI algorithms.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work effectively in a collaborative, team-oriented research environment.
- Strong communication and presentation skills, with the ability to convey complex technical concepts clearly.
- Experience in deploying ML models in real-world applications is a plus.
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Lead AI Researcher - Machine Learning Models
Posted 5 days ago
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Job Description
Our client, a cutting-edge research institution focused on artificial intelligence, is seeking a distinguished Lead AI Researcher to spearhead innovative projects in machine learning model development. This role is pivotal in driving advancements in areas such as natural language processing, computer vision, and predictive analytics. You will lead a team of talented researchers and engineers, guiding them through the entire research lifecycle, from conceptualization and experimentation to implementation and deployment. Responsibilities include designing and developing novel AI algorithms, conducting rigorous empirical studies, and publishing findings in top-tier scientific venues. The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record and deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch). You will also be expected to contribute to grant proposals and foster collaborations with academic and industry partners. While this position offers a hybrid work arrangement, allowing for a blend of remote and in-office collaboration at our **Mombasa, Mombasa, KE** facility, significant in-person engagement will be required for team brainstorming, experimental setup, and strategic planning. A minimum of 8 years of post-doctoral research experience in AI/ML is essential. Proven leadership experience in guiding research projects and mentoring junior team members is crucial. You should demonstrate a strong aptitude for creative problem-solving, a rigorous scientific mindset, and excellent communication skills, both written and verbal, to effectively articulate complex research ideas. Experience with large-scale data processing and high-performance computing environments is a plus. If you are passionate about pushing the boundaries of AI and possess the leadership skills to guide impactful research, we invite you to apply.
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5
Senior Data Scientist, AI Model Development
Posted 22 days ago
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Job Description
Our client is seeking a highly skilled Senior Data Scientist to join their advanced analytics team, focusing on the development and deployment of cutting-edge AI models. This role is critical in leveraging large datasets to build predictive models, extract actionable insights, and drive data-informed decision-making. You will work on complex machine learning challenges, from data preprocessing and feature engineering to model training, validation, and optimization. The ideal candidate possesses a strong statistical background, proficiency in programming languages like Python or R, and hands-on experience with various machine learning techniques and frameworks. You will collaborate closely with software engineers, domain experts, and other data scientists to deliver robust and scalable AI solutions. This position requires a keen analytical mind and a passion for solving challenging problems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models to address business challenges and opportunities.
- Perform data exploration, cleaning, and feature engineering to prepare data for modeling.
- Evaluate model performance, identify areas for improvement, and conduct hyperparameter tuning.
- Collaborate with engineering teams to deploy models into production environments.
- Communicate complex analytical findings and model results to technical and non-technical stakeholders.
- Stay current with the latest advancements in data science, machine learning, and AI.
- Develop and maintain robust data pipelines and analytical workflows.
- Mentor junior data scientists and contribute to the team's technical growth.
- Identify opportunities to apply advanced analytical techniques to solve business problems.
- Contribute to the overall data strategy and roadmap of the organization.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science or machine learning, with a proven track record of building and deploying models.
- Strong proficiency in Python or R, and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
- Solid understanding of statistical modeling, machine learning algorithms, and deep learning concepts.
- Experience with SQL and working with large datasets.
- Familiarity with data visualization tools and techniques.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work effectively in a team environment and manage project timelines.
- Experience in an on-site role within Kisumu is required.
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Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 10 days ago
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Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
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7
Senior AI Research Scientist - Deep Learning & Computer Vision
Posted 10 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning and Computer Vision to join their pioneering team. This is a fully remote, impactful role where you will be at the forefront of developing next-generation AI solutions. You will be responsible for conceptualizing, designing, and implementing cutting-edge machine learning models and algorithms, with a particular focus on image recognition, object detection, and video analysis. Your work will directly contribute to innovative projects that push the boundaries of artificial intelligence. This position requires a deep understanding of mathematical principles, statistical modeling, and advanced programming techniques. You will collaborate closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead research initiatives in deep learning, computer vision, and related AI fields.
- Develop and implement novel algorithms for image and video understanding, including segmentation, classification, and tracking.
- Design and train complex neural network architectures (CNNs, RNNs, Transformers, etc.) using frameworks like TensorFlow, PyTorch, or JAX.
- Evaluate and optimize model performance, ensuring robustness and scalability for real-world deployment.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Collaborate with engineering teams to integrate AI models into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to a collaborative research environment.
- Work remotely, leveraging communication and collaboration tools to maintain high levels of productivity and team synergy. The opportunity to work from your preferred location within Bungoma, Bungoma, KE is provided with this role.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record in computer vision and deep learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Solid understanding of linear algebra, calculus, probability, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed training is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and as part of a remote team.
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8
AI/ML Research Scientist (Computer Vision)
Posted 23 days ago
Job Viewed
Job Description
Our client is seeking a brilliant and innovative AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements from the comfort of your home office. You will be at the forefront of developing novel algorithms and models for image recognition, object detection, and scene understanding. Your work will involve exploring state-of-the-art deep learning techniques, conducting rigorous experiments, and publishing research findings in leading AI conferences and journals. This role is ideal for a passionate researcher with a strong theoretical background and practical implementation skills.
Key responsibilities include:
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
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