280 Machine Learning Engineer jobs in Nairobi
Machine Learning Engineer - Computer Vision
Posted 17 days ago
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Job Description
Our client, a leader in artificial intelligence solutions, is seeking a talented and innovative Machine Learning Engineer with a specialization in Computer Vision to join their dynamic, fully remote team. This role involves designing, developing, and deploying advanced machine learning models for a variety of computer vision applications, including image recognition, object detection, and video analysis. You will work on challenging projects that push the boundaries of AI technology, from research and development to production deployment. The ideal candidate will have a Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field, with a strong theoretical understanding and practical experience in computer vision and deep learning. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Responsibilities include: developing and implementing cutting-edge computer vision algorithms; training and evaluating machine learning models; optimizing model performance for efficiency and accuracy; collaborating with software engineers to integrate models into production systems; conducting research to identify and explore new CV techniques; preparing technical documentation and presenting findings to stakeholders. This remote position offers the opportunity to work on impactful projects with a highly skilled international team, contributing to the advancement of AI from **Mombasa, Mombasa, KE**, and anywhere in the world.
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Principal Machine Learning Engineer - Computer Vision
Posted 3 days ago
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Job Description
Our client is looking for a Principal Machine Learning Engineer with a specialization in Computer Vision to join our dynamic research and development team. This role is critical for pushing the boundaries of our visual intelligence capabilities. You will lead the design, development, and deployment of advanced machine learning models for image and video analysis, object detection, recognition, and scene understanding. Working closely with a team of talented researchers and engineers, you will tackle complex problems, contribute to innovative product features, and mentor junior engineers. The ideal candidate will possess a deep theoretical understanding of deep learning architectures (CNNs, Transformers, GANs), extensive practical experience in implementing and optimizing these models, and a strong track record in deploying ML solutions to production environments. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Keras is essential. You will be expected to stay at the forefront of computer vision research, evaluate new techniques, and apply them to solve real-world challenges. This position requires excellent analytical, problem-solving, and communication skills, as well as the ability to work effectively in a collaborative, fast-paced environment. A Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related quantitative field, combined with significant industry experience, is highly desirable.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the research, design, and development of state-of-the-art computer vision models.
- Implement and optimize deep learning algorithms for image and video processing tasks.
- Develop and deploy production-ready machine learning pipelines.
- Conduct experiments, analyze results, and iterate on model performance.
- Collaborate with cross-functional teams to define project requirements and deliver solutions.
- Mentor junior machine learning engineers and researchers.
- Stay current with the latest advancements in computer vision and ML research.
- Evaluate and integrate new tools, technologies, and methodologies.
- Present findings and research to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related quantitative field.
- 7+ years of experience in machine learning engineering, with a strong focus on computer vision.
- Deep understanding of deep learning concepts and architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras, OpenCV).
- Experience with model optimization, deployment, and MLOps.
- Strong background in linear algebra, calculus, and probability.
- Experience with large-scale datasets and distributed training.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Demonstrated ability to lead technical projects and mentor teams.
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Remote Machine Learning Engineer - Computer Vision
Posted 18 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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2
Lead AI/ML Engineer (Deep Learning)
Posted 19 days ago
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Job Description
Our client is at the forefront of innovation and is seeking an exceptional Lead AI/ML Engineer specializing in Deep Learning to join their pioneering team. This is a fully remote position, offering the opportunity to work from anywhere within Kenya and contribute to groundbreaking advancements. The Lead AI/ML Engineer will be instrumental in designing, developing, and deploying state-of-the-art machine learning models and artificial intelligence solutions. You will lead the technical direction for deep learning projects, mentor junior engineers, and collaborate with product managers and data scientists to translate business requirements into scalable AI systems. Responsibilities include building and optimizing neural networks, developing robust data pipelines, implementing MLOps best practices, and evaluating model performance. The ideal candidate will possess a strong theoretical understanding of machine learning algorithms, extensive hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and a proven ability to deliver complex AI solutions in production environments. This role demands exceptional problem-solving skills, a passion for cutting-edge technology, and the ability to thrive in a fast-paced, remote-first setting.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of deep learning models.
- Architect scalable and efficient AI/ML systems and pipelines.
- Implement and optimize neural networks for various applications.
- Collaborate with cross-functional teams to define project requirements and goals.
- Mentor and guide junior AI/ML engineers and data scientists.
- Develop and maintain robust MLOps practices for model deployment and monitoring.
- Evaluate model performance and iterate to achieve optimal results.
- Stay abreast of the latest research and advancements in AI and deep learning.
- Contribute to the company's AI strategy and technical roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering, with a focus on deep learning.
- Extensive experience with Python and ML libraries such as TensorFlow, PyTorch, and Keras.
- Proven track record of successfully deploying complex ML models into production.
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated leadership experience in managing technical projects.
- Ability to work effectively in a fully remote team environment.
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Senior AI/ML Engineer (Computer Vision)
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Computer Vision to join their cutting-edge, fully remote team. This role is perfect for a forward-thinking individual eager to push the boundaries of artificial intelligence and machine learning. You will be responsible for designing, developing, and deploying advanced computer vision models and systems that solve complex real-world problems. This includes working with large datasets, experimenting with state-of-the-art algorithms, and contributing to the full ML lifecycle. The ideal candidate will have a strong theoretical foundation and practical experience in deep learning, image processing, and related fields. This is a remote-first position, offering significant flexibility and the opportunity to collaborate with a globally distributed team.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning and deep learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
- Process, clean, and analyze large-scale image and video datasets.
- Experiment with and evaluate various ML algorithms and architectures.
- Collaborate with software engineers to integrate ML models into production systems.
- Optimize model performance for efficiency, accuracy, and scalability.
- Stay abreast of the latest research and advancements in AI, ML, and computer vision.
- Contribute to the entire ML lifecycle, from data preparation to model deployment and monitoring.
- Develop and maintain robust data pipelines and MLOps practices.
- Write high-quality, maintainable code in Python and relevant ML frameworks.
- Participate in code reviews and provide constructive feedback.
- Present research findings and technical solutions to both technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth.
- Identify opportunities for applying AI/ML to solve business challenges.
- Ensure ethical considerations and fairness are integrated into AI development.
- Document research, experiments, and model performance.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in AI/ML engineering, with a strong focus on computer vision.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, OpenCV.
- Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in vision.
- Experience with data augmentation, transfer learning, and model optimization techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and associated ML services.
- Strong programming skills and experience with software development best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote work.
- Proven ability to work independently and manage complex projects.
- Experience with MLOps tools and practices is highly desirable.
- Publication record in relevant AI/ML conferences or journals is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Remote AI/ML Engineer - Computer Vision
Posted 19 days ago
Job Viewed
Job Description
Our client is at the forefront of technological innovation and is looking for a talented Remote AI/ML Engineer specializing in Computer Vision to join their advanced research and development team. This fully remote role is perfect for visionary engineers passionate about developing cutting-edge solutions in image and video analysis. You will be responsible for designing, implementing, and deploying machine learning models for tasks such as object detection, image segmentation, facial recognition, and augmented reality. Your work will involve data preprocessing, feature engineering, model training, evaluation, and optimization. You will collaborate closely with a team of researchers, data scientists, and software engineers to bring novel AI applications to life. The ideal candidate will possess a strong academic background in Computer Science, Artificial Intelligence, or a related field, with a Master's or Ph.D. degree preferred. Proven experience in developing and deploying computer vision models using frameworks like TensorFlow, PyTorch, or OpenCV is essential. Proficiency in programming languages such as Python is required, along with a solid understanding of deep learning architectures and algorithms. Experience with cloud platforms (AWS, Azure, GCP) for ML model deployment is a plus. This role demands strong analytical and problem-solving skills, creativity, and the ability to work independently and effectively in a remote, collaborative environment. You will contribute to projects that push the boundaries of AI, potentially impacting industries and applications originating from or serving **Mombasa, Mombasa, KE**. This is an exciting opportunity to work on challenging problems with a global impact.
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5
Lead AI/ML Engineer - Computer Vision (Remote)
Posted 2 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is looking for a highly accomplished Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge, fully remote team. This role is central to developing and deploying advanced AI solutions that leverage visual data for groundbreaking applications. You will be responsible for designing, implementing, and optimizing deep learning models for tasks such as object detection, image segmentation, facial recognition, and video analysis. The ideal candidate will possess a profound understanding of computer vision algorithms, neural networks, and machine learning frameworks (e.g., TensorFlow, PyTorch). You will lead a team of talented engineers, guiding them through the entire ML lifecycle, from data preprocessing and model training to deployment and monitoring in production environments. This is a remote-first position, requiring exceptional leadership, communication, and collaboration skills to effectively manage a distributed team and interact with stakeholders. You will stay abreast of the latest research and advancements in AI and computer vision, identifying opportunities to integrate novel techniques into our product offerings. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. We seek an individual with a strong theoretical foundation and practical experience in solving complex real-world problems using AI. A proven track record of delivering successful computer vision projects, ideally in areas like autonomous systems, medical imaging, or augmented reality, is essential. You must be adept at debugging complex models, optimizing performance, and ensuring the scalability and robustness of AI systems. The job location for context, although this position is fully remote, is **Mombasa, Mombasa, KE**.
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6
Lead Machine Learning Engineer - Scalable AI Solutions
Posted 3 days ago
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Job Description
Our client is revolutionizing the AI landscape and seeks an exceptional Lead Machine Learning Engineer to drive the development of scalable and sophisticated AI solutions. This fully remote role requires a deep expertise in designing, building, and deploying machine learning models that solve complex business problems. You will lead a team of talented engineers, mentor junior members, and set the technical direction for ML projects. Responsibilities include architecting robust ML pipelines, optimizing model performance, implementing MLOps best practices, and ensuring the seamless integration of AI systems into production environments. The ideal candidate will have a strong background in computer science, machine learning, or a related quantitative field, with extensive hands-on experience in developing and deploying ML models in real-world applications. Proficiency in programming languages like Python, and ML frameworks such as TensorFlow or PyTorch, is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly valued. You must possess outstanding problem-solving skills, a passion for innovation, and the ability to work collaboratively and autonomously in a remote setting. This role offers the chance to work on cutting-edge AI technologies, tackle challenging technical problems, and make a significant impact on the future of artificial intelligence. We are looking for a forward-thinking leader who can inspire a team and deliver high-quality, performant machine learning solutions from anywhere.
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7
Remote AI/ML Engineer - Deep Learning Specialist
Posted 10 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Remote AI/ML Engineer specializing in Deep Learning to drive advancements in artificial intelligence. This fully remote role involves designing, developing, and deploying sophisticated machine learning models and algorithms. The ideal candidate will possess a strong theoretical understanding of AI and ML concepts, combined with practical experience in implementing deep learning frameworks and techniques. You will be responsible for analyzing large datasets, building predictive models, and contributing to the development of next-generation AI-powered solutions. This position demands a proactive, research-oriented mindset, excellent programming skills, and the ability to thrive in a collaborative, remote team environment.
Responsibilities:
This is a fully remote position, offering the flexibility to work from any location while contributing to cutting-edge projects. Expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. A strong foundation in linear algebra, calculus, probability, and statistics is required. We are looking for a candidate who is passionate about pushing the boundaries of AI and can independently drive complex projects to completion in a virtual setting, impacting areas relevant to **Mombasa, Mombasa, KE** and beyond.
Responsibilities:
- Design, build, and train deep learning models for various applications (e.g., computer vision, natural language processing).
- Develop and implement robust machine learning pipelines for data preprocessing, feature engineering, and model evaluation.
- Conduct research into state-of-the-art AI and ML techniques and explore their application to business problems.
- Analyze large, complex datasets to extract insights and identify patterns relevant to model development.
- Optimize model performance, scalability, and efficiency for production deployment.
- Collaborate with data scientists, software engineers, and domain experts to integrate AI solutions into existing systems.
- Stay current with the latest advancements in AI/ML research and technologies.
- Write clean, well-documented, and maintainable code in languages such as Python.
- Participate in code reviews and contribute to the continuous improvement of ML development practices.
- Present research findings and model performance to technical and non-technical audiences.
This is a fully remote position, offering the flexibility to work from any location while contributing to cutting-edge projects. Expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. A strong foundation in linear algebra, calculus, probability, and statistics is required. We are looking for a candidate who is passionate about pushing the boundaries of AI and can independently drive complex projects to completion in a virtual setting, impacting areas relevant to **Mombasa, Mombasa, KE** and beyond.
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8
Principal AI Engineer - Machine Learning
Posted 10 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm, is looking for a Principal AI Engineer with extensive expertise in machine learning and deep learning. This is a fully remote position, offering the flexibility to contribute to groundbreaking AI projects from anywhere in Kenya. You will lead the design, development, and deployment of advanced AI models and solutions, driving innovation across various applications. This role requires a deep theoretical understanding of AI concepts, hands-on experience with large-scale data, and the ability to mentor other engineers.
Key Responsibilities:
Key Responsibilities:
- Lead the research, design, and implementation of sophisticated machine learning models and algorithms.
- Develop and deploy AI-powered applications and systems that solve complex business problems.
- Work with large datasets, ensuring data quality, preprocessing, and feature engineering.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for model development and optimization.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
- Mentor junior AI engineers, providing technical guidance and support.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Evaluate and select appropriate AI technologies and tools for project needs.
- Develop and implement MLOps strategies for model deployment, monitoring, and maintenance.
- Conduct experiments and fine-tune models for optimal performance and accuracy.
- Communicate complex technical concepts to both technical and non-technical audiences.
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