9,557 Remote Graduate Software Engineer AI Ml Focus jobs in Kenya
Remote Graduate Software Developer - AI Focus
Posted 10 days ago
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Lead Quantum Computing Researcher - Algorithm Development
Posted 12 days ago
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Key Responsibilities:
- Lead the research and development of novel quantum algorithms.
- Design, simulate, and analyze quantum algorithms for real-world applications.
- Collaborate with a global team of scientists and engineers in a remote setting.
- Publish research findings in peer-reviewed journals and present at conferences.
- Mentor and guide junior researchers in quantum computing principles and practices.
- Contribute to the development of quantum software platforms and tools.
- Identify and pursue new research opportunities and funding avenues.
- Ensure the theoretical rigor and practical feasibility of developed algorithms.
- Stay updated with the latest advancements in quantum computing and related fields.
- Foster a culture of innovation and scientific excellence within the remote research group.
- Ph.D. in Physics, Computer Science, Mathematics, or a closely related quantitative field.
- Extensive experience in quantum information theory and quantum algorithm design.
- Proficiency with quantum programming frameworks (e.g., Qiskit, Cirq, PennyLane).
- Demonstrated ability to conduct independent research and lead research projects.
- Strong publication record in reputable journals.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills for effective remote collaboration.
- Experience in leading or mentoring research teams is highly desirable.
Senior Quantum Computing Researcher - Algorithm Development
Posted 9 days ago
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Responsibilities:
- Conceptualize, design, and develop novel quantum algorithms for specific computational challenges.
- Analyze the performance and scalability of quantum algorithms on various quantum hardware architectures.
- Conduct theoretical research and publish findings in peer-reviewed journals and present at international conferences.
- Collaborate with quantum hardware engineers to translate theoretical concepts into practical implementations.
- Develop and utilize quantum simulation tools and frameworks to test and validate algorithms.
- Mentor junior researchers and contribute to building a strong research culture within the remote team.
- Stay abreast of the latest advancements in quantum computing, quantum information theory, and related fields.
- Contribute to grant proposals and research funding applications.
- Engage with external research institutions and industry partners to foster collaboration.
- Translate complex quantum concepts into understandable explanations for diverse audiences.
- Ph.D. in Physics, Computer Science, Mathematics, or a related field with a specialization in quantum computing.
- Minimum of 5-8 years of post-doctoral research experience in quantum algorithm development or quantum information theory.
- Demonstrated expertise in quantum mechanics, linear algebra, and theoretical computer science.
- Strong programming skills in Python, with experience using quantum computing libraries (e.g., Qiskit, Cirq, PennyLane).
- Proven track record of impactful research, evidenced by publications in top-tier journals and conference presentations.
- Experience with quantum programming and simulation environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, essential for remote collaboration and dissemination of research findings.
- Ability to work independently, manage research projects, and drive innovation in a distributed environment.
Lead AI/ML Engineer - Computer Vision
Posted 13 days ago
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Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
- Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
- Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
- Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
- Oversee the data collection, annotation, and preparation process for training computer vision models.
- Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
- Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
- Write high-quality, well-documented code in languages such as Python.
- Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
- Contribute to intellectual property and publish research findings where appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Computer Vision.
- Proven track record of developing and deploying complex computer vision models in production environments.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong knowledge of algorithms, data structures, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with model optimization and deployment strategies is highly desirable.
Principal AI/ML Engineer (Computer Vision)
Posted 20 days ago
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The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
- Lead the design, development, and implementation of advanced computer vision models and algorithms.
- Conduct cutting-edge research in areas such as object detection, segmentation, image classification, and generative models.
- Develop and deploy ML pipelines for training, evaluation, and inference in production environments.
- Optimize model performance for scalability, efficiency, and real-time applications.
- Collaborate with cross-functional teams to define project requirements and technical specifications.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, ML, and computer vision research and industry trends.
- Contribute to the company's intellectual property through patents and publications.
- Design and conduct experiments to validate new approaches and algorithms.
- Troubleshoot and resolve complex technical challenges in AI/ML systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 8 years of professional experience in AI/ML engineering, with a significant focus on computer vision.
- Proven track record of developing and deploying sophisticated CV models in production.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Excellent analytical, problem-solving, and algorithmic design skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and lead projects in a fully remote environment.
- Demonstrated experience with large-scale datasets and distributed training.
Lead AI/ML Engineer (Deep Learning)
Posted 20 days ago
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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.
Senior AI/ML Engineer (Computer Vision)
Posted 20 days ago
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Remote AI/ML Engineer - Computer Vision
Posted 20 days ago
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Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks (object detection, segmentation, recognition, etc.).
- Collect, clean, and preprocess large datasets for model training and evaluation.
- Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Develop and maintain robust ML pipelines for data processing, training, and inference.
- Optimize model performance for accuracy, speed, and resource efficiency.
- Deploy ML models into production environments, collaborating with software engineers.
- Research and stay abreast of the latest advancements in AI, ML, and computer vision.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Document model architectures, experiments, and results thoroughly.
- Troubleshoot and resolve issues related to ML model performance and deployment.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying computer vision models.
- Strong theoretical and practical knowledge of deep learning techniques (CNNs, RNNs, Transformers).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with data augmentation, model optimization, and performance evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Ability to work independently and manage projects effectively.
Senior AI/ML Engineer - Deep Learning
Posted 20 days ago
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Key Responsibilities:
- Design, develop, train, and deploy state-of-the-art deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Conduct research into new AI/ML techniques and algorithms, evaluating their potential applications.
- Preprocess and analyze large, complex datasets to extract valuable insights for model training.
- Implement and optimize machine learning algorithms for scalability and performance.
- Collaborate with software engineers to integrate AI/ML models into production systems and applications.
- Develop and maintain robust ML pipelines and MLOps practices.
- Evaluate and benchmark model performance, identifying areas for improvement and iteration.
- Stay abreast of the latest advancements and research in AI, machine learning, and deep learning.
- Document technical specifications, algorithms, and experimental results.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Participate in code reviews and provide constructive feedback.
- Communicate technical findings and recommendations to both technical and non-technical stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of hands-on experience in developing and deploying AI/ML models, with a strong emphasis on deep learning.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with MLOps, model deployment, and monitoring is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Published research in top-tier AI conferences or journals is a significant plus.
- Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
Lead AI/ML Engineer - Computer Vision (Remote)
Posted 9 days ago
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Your responsibilities will include leading the design, development, and deployment of computer vision algorithms for a variety of applications, such as object detection, image segmentation, facial recognition, and video analysis. You will work with large-scale datasets, experiment with various deep learning frameworks (e.g., TensorFlow, PyTorch), and optimize models for performance and scalability. A key aspect of this role involves setting technical direction, mentoring junior engineers, conducting rigorous research, and staying ahead of the curve in AI/ML advancements. The ideal candidate possesses a strong theoretical foundation in machine learning and a proven track record of delivering impactful AI products. This is a remote-first position, emphasizing collaboration and communication across distributed teams.
Key Responsibilities:
- Lead the design, development, and deployment of advanced computer vision models and AI solutions.
- Architect and implement scalable machine learning pipelines for data processing, model training, and inference.
- Research and apply state-of-the-art deep learning techniques and algorithms for image and video analysis.
- Develop and optimize object detection, segmentation, classification, and tracking algorithms.
- Manage and analyze large datasets for model training and evaluation.
- Collaborate with software engineers to integrate AI models into production systems and applications.
- Mentor and provide technical guidance to junior AI/ML engineers.
- Stay current with the latest research and advancements in AI, machine learning, and computer vision.
- Present technical findings and project progress to stakeholders.
- Ensure ethical considerations and responsible AI practices are integrated into development.
- Evaluate and select appropriate ML frameworks and tools for various projects.
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 developing and deploying AI/ML models, with a strong focus on Computer Vision.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, Scikit-learn).
- Strong understanding of image processing techniques and computer vision principles.
- Experience with cloud platforms (AWS, Azure, GCP) and ML deployment strategies.
- Proven ability to lead technical projects and mentor team members.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and collaboration skills, suitable for a remote team.
- Publications in top-tier AI/ML conferences or journals are a significant plus.
This exciting remote role is conceptually based in Ruiru, Kiambu, KE . If you are a leader in AI and passionate about creating groundbreaking technology, we want to hear from you.