1,123 Machine Learning Engineer Computer Vision jobs in Kenya
Senior Computer Vision Engineer - AI Systems
Posted 6 days ago
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Job Description
Our client is seeking a highly skilled and innovative Senior Computer Vision Engineer to join their advanced AI research and development team. This is a fully remote, full-time position where you will be at the forefront of developing cutting-edge computer vision algorithms and systems. You will tackle challenging problems in image and video analysis, object detection, recognition, and machine perception, contributing significantly to the evolution of AI technologies.
Responsibilities:
Responsibilities:
- Design, develop, and implement state-of-the-art computer vision algorithms and models for various applications.
- Work with large-scale datasets for training and evaluating computer vision models.
- Collaborate with a team of AI researchers and engineers to integrate vision systems into broader AI platforms.
- Optimize computer vision algorithms for performance, accuracy, and efficiency on different hardware platforms.
- Stay abreast of the latest research and advancements in computer vision, deep learning, and machine learning.
- Develop prototypes and conduct rigorous testing to validate solutions.
- Contribute to the design and architecture of scalable computer vision systems.
- Publish research findings and present work at leading conferences and in journals.
- Mentor junior engineers and contribute to a culture of technical excellence and innovation.
- Ensure the responsible and ethical development of AI systems, addressing potential biases.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a specialization in Computer Vision.
- 5+ years of hands-on experience in developing and deploying computer vision algorithms.
- Strong proficiency in C++ and Python, along with experience in relevant libraries (e.g., OpenCV, scikit-image).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proven experience with deep learning models for image recognition, object detection, segmentation, and tracking.
- Solid understanding of image processing techniques and mathematical principles underlying computer vision.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed computing is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, particularly in a remote work environment.
- Ability to work independently and lead technical initiatives.
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Machine Learning Engineer - AI Research
Posted 20 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a highly talented and driven Machine Learning Engineer to join their advanced research team. This is a fully remote position, offering the opportunity to work on groundbreaking projects from anywhere. The ideal candidate will have a strong academic background and hands-on experience in developing, deploying, and optimizing machine learning models. You will be instrumental in designing and implementing cutting-edge algorithms, conducting experiments, and contributing to the advancement of artificial intelligence. Your responsibilities will include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will collaborate closely with data scientists, software engineers, and domain experts to translate research findings into practical AI solutions. Experience with various ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) is essential. A deep understanding of statistical modeling, algorithms, and data structures is required. This role demands a curious and analytical mind, with a passion for solving complex problems and pushing the boundaries of machine learning. The ability to work independently, manage research projects, and communicate technical findings effectively in a remote setting is crucial. We are looking for individuals who are eager to contribute to impactful research and development in the field of AI. You will have the opportunity to work with large datasets and cutting-edge computational resources. The successful candidate will possess strong programming skills in Python or other relevant languages, and a commitment to staying current with the latest advancements in ML and AI research. This is an exceptional opportunity for a skilled engineer to make significant contributions to the field and work in a highly collaborative and innovative remote environment.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Conduct research and experiments to advance AI capabilities.
- Process, clean, and analyze large datasets.
- Perform feature engineering and model selection.
- Train, evaluate, and optimize machine learning models.
- Deploy ML models into production environments.
- Collaborate with research and engineering teams on AI projects.
- Stay up-to-date with the latest advancements in ML and AI.
- Document research findings and technical specifications.
- Contribute to the development of new AI products and services.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 3+ years of experience in machine learning engineering or AI research.
- Proficiency in programming languages such as Python.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of statistical modeling, algorithms, and data structures.
- Experience with data manipulation and analysis tools.
- Excellent problem-solving and analytical skills.
- Ability to work independently and manage research projects in a remote setting.
- Strong communication and presentation skills.
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Principal Machine Learning Engineer - AI Research
Posted 10 days ago
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Job Description
Our client, a pioneer in AI innovation, is seeking a highly accomplished and visionary Principal Machine Learning Engineer to lead their advanced research initiatives. This is a fully remote position, offering an unparalleled opportunity to work on groundbreaking AI projects from anywhere. You will be at the forefront of developing and implementing state-of-the-art machine learning models, algorithms, and systems that push the boundaries of artificial intelligence. Your responsibilities will include designing scalable ML architectures, conducting rigorous experimentation, and translating complex research findings into practical applications. This role requires a deep theoretical understanding of ML concepts, including deep learning, natural language processing, computer vision, and reinforcement learning, coupled with extensive hands-on experience in building and deploying production-ready ML solutions. You will mentor junior engineers, lead technical strategy, and collaborate closely with research scientists and product teams. The ideal candidate will possess a strong publication record in top-tier AI conferences or journals, demonstrating significant contributions to the field. Excellent programming skills in Python and proficiency with ML frameworks such as TensorFlow, PyTorch, or Keras are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is also highly valued. This remote role demands exceptional problem-solving skills, creativity, and the ability to drive complex projects to completion independently. Strong communication skills are vital for sharing research insights and collaborating with a global team. If you are a passionate AI researcher and engineer driven by innovation and eager to shape the future of AI, this is the role for you.
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2
Senior AI & Machine Learning Engineer - Deep Learning
Posted 20 days ago
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Job Description
Our client is seeking a highly skilled and innovative Senior AI & Machine Learning Engineer with a specialization in Deep Learning to join their cutting-edge research and development team. This role is ideal for an individual passionate about pushing the boundaries of artificial intelligence and developing sophisticated ML models to solve complex problems. You will be instrumental in designing, building, and deploying advanced deep learning architectures, contributing to projects that leverage AI for novel applications. The successful candidate will possess a strong theoretical foundation in machine learning, exceptional programming skills, and a proven ability to translate research into practical, scalable solutions in a remote setting.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for various applications, including but not limited to, computer vision, natural language processing, and predictive analytics.
- Conduct research into new AI techniques and algorithms, staying at the forefront of the field.
- Preprocess, clean, and manage large datasets for model training and evaluation.
- Train, validate, and fine-tune deep learning models to achieve optimal performance.
- Develop robust and scalable ML pipelines for deployment in production environments.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into products and services.
- Evaluate the performance of ML models and identify areas for improvement.
- Write clean, efficient, and well-documented code in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Stay updated with the latest research papers, conferences, and industry trends in AI and machine learning.
- Contribute to the technical roadmap and strategic direction of the AI team.
- Mentor junior engineers and share knowledge within the team.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying deep learning models.
- Strong expertise in Python programming and experience with major ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, etc.) and their applications.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proficiency in cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving skills and the ability to work on complex, ambiguous challenges.
- Strong communication and collaboration skills, essential for a remote team environment.
- Proven ability to work independently and manage projects effectively.
- Published research in top-tier AI/ML conferences or journals is highly desirable.
- This role will support projects and initiatives relevant to the **Mlolongo, Machakos, KE** region.
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3
Lead AI Engineer - Deep Learning
Posted 19 days ago
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Job Description
Our client is seeking a highly experienced and visionary Lead AI Engineer specializing in Deep Learning to spearhead advanced research and development projects. This is a fully remote role, allowing you to collaborate with a world-class team from anywhere. You will be instrumental in designing, developing, and deploying sophisticated deep learning models that solve complex real-world problems. The ideal candidate will have a strong theoretical foundation in machine learning and deep learning, coupled with extensive practical experience in building and training neural networks for various applications, such as computer vision, natural language processing, or predictive analytics. Key responsibilities include leading the AI/ML roadmap, mentoring junior engineers, overseeing model development lifecycles, and ensuring the scalability and performance of deployed solutions. You will work closely with product managers and other engineers to integrate AI capabilities into new and existing products. Experience with deep learning frameworks like TensorFlow, PyTorch, and Keras is essential, as is proficiency in Python and relevant libraries. Familiarity with MLOps practices, cloud platforms (AWS, Azure, GCP), and big data technologies is highly desirable. The role demands exceptional problem-solving skills, a passion for innovation, and the ability to translate cutting-edge research into practical, high-impact solutions. You will champion best practices in AI development and contribute to the intellectual property of the company. This is a leadership opportunity to make significant contributions to the field of artificial intelligence, supporting initiatives conceptually linked to **Kericho, Kericho, KE**.
Key Responsibilities:
Key Responsibilities:
- Lead the research, design, and implementation of deep learning models.
- Develop and optimize algorithms for large-scale datasets.
- Mentor and guide junior AI/ML engineers.
- Oversee the entire ML model lifecycle, from experimentation to production.
- Collaborate with cross-functional teams to define AI requirements and solutions.
- Evaluate and integrate new AI technologies and methodologies.
- Ensure the performance, scalability, and reliability of AI systems.
- Contribute to publications and patents in the field of AI.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of hands-on experience in deep learning and AI development.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and scientific computing libraries (NumPy, Pandas).
- Strong understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with MLOps, cloud computing, and big data technologies.
- Excellent leadership, problem-solving, and communication skills.
- Demonstrated ability to lead technical projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
4
Senior Machine Learning Engineer (AI Research)
Posted 20 days ago
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Job Description
Our client is at the forefront of artificial intelligence research and is seeking an accomplished Senior Machine Learning Engineer to join their pioneering, fully remote team. This role is integral to developing and deploying cutting-edge machine learning models and algorithms that drive our client's innovative solutions. The ideal candidate possesses a deep theoretical understanding of ML principles, coupled with extensive practical experience in building and scaling ML systems. You will lead research initiatives, mentor junior engineers, and contribute to the architectural design of our ML infrastructure. This position offers the unique benefit of working remotely, allowing you to contribute your expertise from anywhere while collaborating with a globally distributed team of AI experts.
Key Responsibilities:
Key Responsibilities:
- Design, implement, and deploy advanced machine learning models and algorithms for various applications.
- Conduct cutting-edge research into new ML techniques and their potential applications.
- Develop and optimize production-level ML pipelines for training, evaluation, and deployment.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, in a remote setting.
- Architect and build scalable, robust, and efficient ML systems.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Mentor and guide junior machine learning engineers and data scientists.
- Evaluate and integrate new technologies and tools to improve ML capabilities.
- Contribute to the company's intellectual property through publications and patents.
- Ensure the ethical and responsible development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of progressive experience in machine learning engineering or research.
- Proven track record of developing and deploying complex ML models in production environments.
- Expertise in programming languages such as Python, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of deep learning architectures, natural language processing (NLP), computer vision, or reinforcement learning.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills for effective collaboration in a remote team.
- Demonstrated leadership capabilities and experience mentoring others.
- Strong understanding of data structures, algorithms, and software design principles.
- Commitment to reproducible research and rigorous scientific methodology.
- A passion for pushing the boundaries of AI and its real-world applications, while based anywhere, your impact is felt globally.
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5
Lead Machine Learning Engineer (AI)
Posted 13 days ago
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Job Description
Our client is seeking a highly skilled and innovative Lead Machine Learning Engineer to join their cutting-edge AI team. This is a fully remote position, offering the flexibility to work from any location and collaborate with a global team. You will be instrumental in designing, developing, and deploying advanced machine learning models and solutions that drive significant business impact. Your responsibilities will include architecting ML systems, selecting appropriate algorithms, and managing the entire ML lifecycle from data preparation and model training to deployment and monitoring. The ideal candidate will possess a deep understanding of various ML techniques, including supervised, unsupervised, and deep learning. Experience with MLOps practices, cloud platforms (e.g., AWS, Azure, GCP), and big data technologies is essential. You will lead a team of talented engineers, providing technical mentorship, setting development standards, and fostering a culture of innovation and continuous learning. Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) are required. Excellent problem-solving abilities, a passion for tackling complex challenges, and outstanding communication skills are crucial for collaborating with cross-functional teams, including data scientists, software engineers, and product managers. We are looking for a visionary leader who can translate business needs into robust and scalable AI solutions. If you are passionate about pushing the boundaries of artificial intelligence and leading impactful projects, this remote opportunity is for you. Contribute your expertise from wherever you are, potentially aligning with the tech hub dynamics of **Nakuru, Nakuru, KE**, or beyond. Join us in building the future of AI, remotely.
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6
Lead AI/ML Engineer (Deep Learning)
Posted 20 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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7
Principal AI Engineer - Deep Learning Architect
Posted 6 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and visionary Principal AI Engineer to lead the design and implementation of advanced artificial intelligence and deep learning solutions. This critical role is fully remote, demanding a candidate with a deep understanding of AI principles, extensive experience in architecting complex models, and a proven ability to drive innovation in emerging technologies. The successful applicant will be instrumental in shaping the future of our AI-driven products and services.
Responsibilities:
Qualifications:
This is an unparalleled opportunity for a leading AI expert to drive significant innovation and shape the future of intelligent systems within a remote-first organization.
Responsibilities:
- Architect, develop, and deploy sophisticated deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
- Lead AI research and development initiatives, exploring new algorithms, techniques, and frameworks.
- Mentor and guide a team of AI engineers and data scientists, fostering a culture of technical excellence.
- Collaborate with product management and engineering teams to define AI strategy and roadmaps.
- Optimize AI models for performance, scalability, and efficiency in production environments.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Design and implement robust ML pipelines for data processing, training, and evaluation.
- Evaluate and integrate third-party AI technologies and services where appropriate.
- Present complex AI concepts and findings to technical and non-technical stakeholders.
- Ensure the ethical development and deployment of AI systems.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in AI/ML engineering, with at least 5 years in a lead or principal role.
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proven track record of successfully designing and deploying complex AI models in production.
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Extensive knowledge of various AI algorithms, including neural networks, reinforcement learning, and generative models.
- Experience with cloud AI platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
- Excellent leadership, communication, and collaboration skills, essential for a remote-first environment.
- Ability to translate business problems into AI solutions.
- While the role is fully remote, occasional interaction with project teams based near Kitale, Trans-Nzoia, KE may be part of the work.
This is an unparalleled opportunity for a leading AI expert to drive significant innovation and shape the future of intelligent systems within a remote-first organization.
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8
Machine Learning Engineer - AI Research - Remote
Posted 15 days ago
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Job Description
Our client is looking for an innovative and highly skilled Machine Learning Engineer to join their cutting-edge AI research team. This is a 100% remote position, offering a unique opportunity to contribute to advanced AI projects from your home office. You will be at the forefront of developing and implementing novel machine learning models and algorithms to solve complex problems. This role involves extensive work with large datasets, including data preprocessing, feature engineering, and model training and evaluation. You will experiment with various ML techniques, conduct deep learning research, and contribute to the advancement of AI capabilities. Key responsibilities include designing, building, and deploying scalable ML systems; staying current with the latest research in AI and ML; and collaborating with data scientists, software engineers, and domain experts to integrate ML solutions into products and services. A strong foundation in mathematics, statistics, and computer science is essential. Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras is required. Expertise in programming languages like Python and familiarity with big data technologies are also crucial. The ideal candidate possesses strong analytical and problem-solving skills, with a passion for innovation and a commitment to pushing the boundaries of AI. Excellent communication and collaboration skills are necessary, as you will work within a distributed team environment. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, along with practical experience in ML model development and deployment, is required. This is an exceptional opportunity to contribute to groundbreaking AI research and development, impacting industries and shaping the future of technology from Malindi, Kilifi, KE .
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