1,063 Remote AI Ml Engineer Computer Vision jobs in Kenya
Principal Machine Learning Engineer - Remote AI Development
Posted 20 days ago
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Job Description
Our client is seeking an exceptional Principal Machine Learning Engineer to join their innovative and fully remote technology team. This role is pivotal in driving the development and deployment of cutting-edge artificial intelligence and machine learning solutions. You will lead the design, implementation, and optimization of complex ML models and pipelines, tackling challenging problems across various domains. Responsibilities include researching and applying state-of-the-art ML algorithms, developing scalable training and inference systems, and ensuring the robustness and efficiency of our AI products. The ideal candidate will possess a deep understanding of machine learning principles, statistical modeling, and software engineering best practices. Proven experience in building and deploying production-level ML systems, including deep learning models, is a must. Proficiency in programming languages such as Python and extensive experience with ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, GCP, Azure) are essential. This is a unique opportunity to work on impactful projects, collaborate with world-class researchers and engineers, and shape the future of AI, all within a flexible and supportive remote work environment. We are looking for a highly motivated individual with strong leadership qualities, excellent problem-solving skills, and a passion for advancing the field of artificial intelligence. This role requires a Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field, coupled with at least 10 years of experience in software development and ML engineering, with a significant portion dedicated to lead or principal roles. You will be expected to mentor junior engineers, contribute to strategic technical decisions, and drive innovation across the organization. Your ability to communicate complex technical concepts effectively to both technical and non-technical audiences will be key. Join our client and redefine the boundaries of what AI can achieve, from the convenience of your remote workspace.
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Senior AI/ML Engineer - Remote Data Science
Posted 9 days ago
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Job Description
Our client is seeking a highly skilled and motivated Senior AI/ML Engineer to join their cutting-edge technology division. This is a fully remote position, allowing you to contribute to groundbreaking projects from the comfort of your home office. You will play a pivotal role in designing, developing, and deploying advanced artificial intelligence and machine learning models that drive innovation and solve complex business challenges. The ideal candidate will have a strong foundation in computer science, mathematics, and extensive experience with AI/ML frameworks and tools. Your responsibilities will include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to translate business requirements into actionable AI solutions. This role demands a deep understanding of various ML algorithms, deep learning architectures, and cloud platforms. The ability to work effectively in a remote-first environment, communicate technical concepts clearly, and drive projects to completion independently is essential. We are looking for a proactive individual who is passionate about staying at the forefront of AI advancements and can contribute to building scalable, robust, and intelligent systems. This is an exceptional opportunity to shape the future of AI within a forward-thinking organization. The core focus of this role will be supporting initiatives that impact our operations and client base within the **Kericho, Kericho, KE** region, though the work is entirely remote.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement state-of-the-art AI and Machine Learning models.
- Perform data collection, preprocessing, and feature engineering for model training.
- Select, tune, and evaluate appropriate ML algorithms and deep learning architectures.
- Deploy ML models into production environments, ensuring scalability and performance.
- Collaborate with data scientists, engineers, and product managers to define project requirements.
- Stay abreast of the latest research and advancements in AI/ML.
- Develop and maintain robust documentation for models and systems.
- Mentor junior engineers and contribute to the team's technical growth.
- Troubleshoot and optimize AI/ML pipelines and infrastructure.
- Contribute to the company's intellectual property through innovative solutions.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML development.
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of statistical modeling, data mining, and data visualization.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to work independently and manage multiple projects in a remote setting.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts.
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Principal AI Engineer - Remote Machine Learning Systems
Posted 20 days ago
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Job Description
Our client is seeking a highly skilled and innovative Principal AI Engineer to drive the development of cutting-edge machine learning systems. This is a fully remote role, offering the opportunity to work on complex AI challenges from your home office. You will be responsible for designing, implementing, and deploying sophisticated AI models and algorithms, tackling problems across various domains. The ideal candidate possesses deep expertise in machine learning, deep learning, data science, and software engineering, with a proven ability to lead technical initiatives and mentor other engineers. Your contributions will be instrumental in pushing the boundaries of artificial intelligence and creating transformative solutions.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and algorithms.
- Develop and maintain scalable, production-ready AI systems and infrastructure.
- Conduct research into state-of-the-art AI techniques and evaluate their applicability to our client's challenges.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define AI project requirements and roadmaps.
- Mentor and guide junior AI engineers, fostering a culture of technical excellence and innovation.
- Optimize model performance, efficiency, and scalability.
- Ensure the ethical and responsible development and deployment of AI systems.
- Stay abreast of the latest research and advancements in AI, machine learning, and related fields.
- Contribute to technical strategy and roadmap planning for AI initiatives.
- Develop and implement robust testing and validation procedures for AI models.
- Present complex technical concepts and findings to both technical and non-technical audiences.
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 10 years of professional experience in AI/ML development, with a significant focus on building and deploying production systems.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and machine learning libraries (e.g., Scikit-learn).
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Proven experience in leading complex technical projects and mentoring engineering teams.
- Demonstrated ability to work effectively in a fully remote, collaborative environment.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps is highly desirable.
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Remote Machine Learning Engineer - Computer Vision
Posted 19 days ago
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Job Description
Our client is a pioneering technology firm seeking a talented and innovative Remote Machine Learning Engineer with a specialization in Computer Vision. This is a fully remote position where you will leverage your expertise to develop and deploy cutting-edge computer vision models that power the next generation of our client's products. You will be part of a collaborative, forward-thinking team, contributing to projects that involve image recognition, object detection, video analysis, and more. Your work will be crucial in enhancing our client's capabilities and driving technological advancements.
Responsibilities:
Responsibilities:
- Develop, train, and deploy machine learning models for computer vision tasks, including image classification, object detection, segmentation, and tracking.
- Design and implement efficient data pipelines for collecting, annotating, and pre-processing large image and video datasets.
- Research and experiment with state-of-the-art computer vision algorithms and deep learning architectures.
- Optimize model performance for inference speed and accuracy on various hardware platforms.
- Collaborate with software engineers to integrate ML models into production systems and applications.
- Stay current with the latest research and developments in the field of computer vision and machine learning.
- Write clean, well-documented, and maintainable code in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Evaluate and benchmark model performance, providing insights and recommendations for improvement.
- Participate in code reviews and contribute to technical discussions within the team.
- Contribute to the overall MLOps strategy, including model deployment, monitoring, and maintenance.
- Master's or Ph.D. in Computer Science, Electrical Engineering, AI, or a related field with a focus on computer vision.
- 3+ years of experience in developing and deploying computer vision models.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of computer vision fundamentals, including image processing, feature extraction, and object recognition techniques.
- Experience with deep learning architectures like CNNs, RNNs, and Transformers for vision tasks.
- Familiarity with cloud platforms (AWS, GCP, Azure) and ML services is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with data augmentation, transfer learning, and model optimization techniques.
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Remote Machine Learning Engineer (Computer Vision Focus)
Posted 6 days ago
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Job Description
Our client is seeking a highly skilled and innovative Remote Machine Learning Engineer with a specialization in Computer Vision to join their cutting-edge AI team. This is a fully remote position, allowing you to work on transformative projects from anywhere. You will be instrumental in developing, implementing, and deploying advanced machine learning models for computer vision applications, including image recognition, object detection, image segmentation, and video analysis. Your responsibilities will involve data preprocessing, feature engineering, model training, evaluation, and optimization, utilizing large datasets to achieve state-of-the-art performance. You will collaborate closely with data scientists, software engineers, and product managers to translate complex business problems into practical AI solutions. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with hands-on experience in Python and relevant ML frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in libraries like OpenCV, Scikit-learn, and NumPy is essential. Experience with cloud platforms (AWS, Azure, GCP) for model deployment and scaling is a significant advantage. We are looking for a proactive individual with excellent problem-solving skills, a passion for staying at the forefront of AI research, and the ability to work independently in a remote setting. If you are driven by innovation and eager to make a significant impact in the field of artificial intelligence, we encourage you to apply.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks.
- Process, clean, and analyze large-scale image and video datasets.
- Train, evaluate, and fine-tune deep learning models for optimal performance.
- Develop and maintain robust data pipelines for ML model development.
- Deploy ML models into production environments, ensuring scalability and reliability.
- Collaborate with cross-functional teams to define project requirements and deliver AI solutions.
- Stay current with the latest research and advancements in machine learning and computer vision.
- Write clean, efficient, and well-documented code.
- Contribute to the team's knowledge base and best practices.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of experience in machine learning, with a strong focus on computer vision.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, OpenCV, and Scikit-learn.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Strong understanding of deep learning architectures (CNNs, RNNs, Transformers).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for remote teamwork.
- Proven ability to work independently and manage project deadlines.
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4
Remote Machine Learning Engineer - AI
Posted 20 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a talented and experienced Remote Machine Learning Engineer to join their cutting-edge team. This is a fully remote position, allowing you to contribute to groundbreaking AI projects from anywhere. You will be responsible for designing, developing, and deploying machine learning models that solve complex business problems and drive innovation. The ideal candidate possesses a strong theoretical foundation in machine learning, practical experience in model development and implementation, and a passion for pushing the boundaries of artificial intelligence.
Responsibilities:
Qualifications:
This role supports advanced AI initiatives for our client, with a focus on applications relevant to operations in Nyeri, Nyeri, KE and globally. Join our pioneering team and shape the future of AI.
Responsibilities:
- Design, build, and train machine learning models using various algorithms and frameworks.
- Develop and implement data preprocessing pipelines, feature engineering, and model evaluation strategies.
- Deploy machine learning models into production environments, ensuring scalability, performance, and reliability.
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
- Stay current with the latest research and advancements in machine learning, deep learning, and related fields.
- Conduct experiments, analyze results, and iterate on models to improve performance.
- Develop MLOps practices to automate model training, deployment, and monitoring.
- Troubleshoot and resolve issues related to model performance and production deployment.
- Communicate complex technical concepts and findings clearly to both technical and non-technical audiences.
- Contribute to the overall AI strategy and roadmap of the organization.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, 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 such as TensorFlow, PyTorch, scikit-learn.
- Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Solid understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with deep learning architectures (e.g., CNNs, RNNs, Transformers) is highly desirable.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
This role supports advanced AI initiatives for our client, with a focus on applications relevant to operations in Nyeri, Nyeri, KE and globally. Join our pioneering team and shape the future of AI.
This advertiser has chosen not to accept applicants from your region.
5
Remote Machine Learning Engineer - AI Specialization
Posted 15 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of Artificial Intelligence, is seeking a highly skilled Remote Machine Learning Engineer with a specialization in AI. This position is fully remote, offering you the chance to contribute to groundbreaking AI projects from anywhere. You will be responsible for designing, developing, and deploying advanced machine learning models and AI systems that solve complex real-world problems. This includes everything from data preprocessing and feature engineering to model training, evaluation, and optimization. The ideal candidate possesses a strong foundation in computer science, mathematics, and statistics, with extensive experience in machine learning algorithms and frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages like Python is essential, along with experience in big data technologies and cloud platforms (AWS, Azure, GCP). You will collaborate with cross-functional teams of researchers, software engineers, and product managers to translate business needs into scalable AI solutions. Excellent problem-solving skills, a keen eye for detail, and the ability to work independently in a remote setting are crucial. This is an exceptional opportunity for a talented ML engineer to push the boundaries of AI and make a significant impact.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning algorithms and AI models.
- Perform data collection, cleaning, preprocessing, and feature engineering.
- Train, validate, and tune machine learning models for optimal performance.
- Deploy ML models into production environments using cloud infrastructure.
- Evaluate model performance using appropriate metrics and conduct A/B testing.
- Collaborate with software engineers to integrate ML models into applications.
- Research and stay abreast of the latest advancements in machine learning and AI.
- Develop and maintain documentation for ML models and pipelines.
- Optimize ML systems for scalability, efficiency, and reliability.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in machine learning engineering or AI development.
- Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or Keras.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of various ML algorithms, including deep learning, reinforcement learning, and natural language processing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and manage projects effectively in a remote environment.
- Strong communication and collaboration skills.
- Experience with MLOps principles and tools is a plus.
- Published research in AI/ML conferences or journals is highly desirable.
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6
Senior Remote AI Engineer - Machine Learning Pipelines
Posted 9 days ago
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Job Description
Our client, a leader in pioneering artificial intelligence solutions, is looking for a highly skilled Senior Remote AI Engineer specializing in Machine Learning Pipelines to join their cutting-edge, fully remote engineering team. This role is pivotal in designing, building, and maintaining robust, scalable, and efficient machine learning pipelines for a variety of applications. You will be responsible for the entire ML lifecycle, from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring. The ideal candidate possesses a deep understanding of machine learning algorithms, statistical modeling, and software engineering best practices. You should have extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP). Experience with MLOps tools and methodologies (e.g., Kubeflow, MLflow, Docker, Kubernetes) is crucial. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into AI-driven solutions. This position requires strong problem-solving skills, the ability to work independently, and excellent communication skills to articulate complex technical concepts. A passion for staying at the forefront of AI advancements and a commitment to building reliable and performant ML systems are essential. As a senior member, you will also mentor junior engineers and contribute to architectural decisions. This remote-first role offers the flexibility to work from anywhere while contributing to transformative AI projects.
Responsibilities:
Responsibilities:
- Design, develop, and implement end-to-end machine learning pipelines.
- Build and maintain data preprocessing and feature engineering frameworks.
- Train, evaluate, and deploy machine learning models at scale.
- Develop and manage MLOps infrastructure for CI/CD of ML models.
- Monitor model performance in production and implement retraining strategies.
- Collaborate with data scientists to productionize research models.
- Optimize ML algorithms and pipeline performance for efficiency and scalability.
- Ensure data quality, integrity, and security throughout the ML lifecycle.
- Stay current with the latest advancements in AI, machine learning, and MLOps.
- Contribute to the architectural design of AI systems and platforms.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience as an AI/ML Engineer, with a strong portfolio of deployed ML projects.
- Expertise in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Solid understanding of ML algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Proficiency in MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, Kubeflow).
- Strong software engineering skills and experience with version control (Git).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a remote, collaborative environment.
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7
Remote AI Research Scientist - Computer Vision
Posted 20 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a talented Remote AI Research Scientist specializing in Computer Vision to join their world-class team. This fully remote role offers the opportunity to conduct cutting-edge research and develop advanced algorithms that will shape the future of artificial intelligence. You will be responsible for exploring new approaches to image and video analysis, object detection, segmentation, and recognition. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in top-tier conferences and journals. Proven experience in developing and implementing deep learning models for computer vision tasks is essential. Proficiency in programming languages such as Python and expertise with AI frameworks like TensorFlow or PyTorch are required. We are looking for an individual with exceptional analytical and problem-solving skills, who can independently drive research projects from conception to implementation. Strong written and verbal communication skills are crucial for disseminating research findings and collaborating with a global team of scientists. Responsibilities include: Conducting fundamental and applied research in computer vision; Developing novel algorithms and models for image and video understanding; Implementing and evaluating AI models; Collaborating with other researchers and engineers to integrate AI solutions into products; Staying abreast of the latest advancements in AI and computer vision; Publishing research findings in leading academic venues; Mentoring junior researchers and interns; Contributing to the development of intellectual property. This is a highly challenging and rewarding position for a passionate AI researcher looking to make a significant impact. The role is entirely remote, allowing you to contribute your expertise to groundbreaking projects from anywhere, while being connected to our operations in **Mombasa, Mombasa, KE**.
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8
Remote AI Research Scientist - Machine Learning
Posted 20 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a brilliant and driven Remote AI Research Scientist specializing in Machine Learning to join their pioneering team. This fully remote position offers an unparalleled opportunity to conduct cutting-edge research and develop novel AI solutions that push the boundaries of technology. You will be instrumental in designing, implementing, and evaluating advanced machine learning models for a variety of applications. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field, coupled with a strong publication record in top-tier AI conferences or journals. Your expertise should encompass deep learning frameworks (e.g., TensorFlow, PyTorch), various ML algorithms, and proficiency in programming languages such as Python. As a remote researcher, you will collaborate with a globally distributed team of experts, utilizing collaborative coding environments, high-performance computing resources, and sophisticated communication tools. Your responsibilities will include formulating research hypotheses, designing experiments, analyzing large datasets, and disseminating findings through technical reports and presentations. We are looking for a creative, self-motivated individual with exceptional problem-solving skills and a passion for scientific discovery. This remote role provides the chance to shape the future of AI and its applications, impacting diverse industries from your home office, supporting R&D efforts relevant to **Mombasa, Mombasa, KE** and global technological advancements. The successful candidate will be a thought leader, capable of independently driving research initiatives and contributing innovative ideas to complex AI challenges. Your contributions will be vital in advancing our client's AI capabilities and developing next-generation intelligent systems.
Responsibilities:
Responsibilities:
- Conduct original research in machine learning, deep learning, and related AI fields.
- Develop and implement novel algorithms and models for AI applications.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large-scale datasets to extract meaningful insights and inform model development.
- Collaborate with other researchers and engineers on joint projects in a virtual setting.
- Publish research findings in leading AI conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the strategic direction of AI research and development efforts.
- Mentor junior researchers and contribute to building a strong research culture.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of research publications in reputable AI conferences and journals.
- Deep expertise in machine learning algorithms, statistical modeling, and deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills, particularly in Python, with experience in relevant libraries (NumPy, SciPy, Pandas).
- Experience with big data technologies and cloud computing platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, comfortable working in a remote, distributed team.
- Ability to work independently, manage research projects, and drive innovation.
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