1,848 Machine Learning Engineer jobs in Kenya
Machine Learning Engineer - AI Research
Posted 19 days ago
Job Viewed
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 9 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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Senior Machine Learning Engineer (AI Research)
Posted 19 days ago
Job Viewed
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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2
Machine Learning Engineer - AI Research - Remote
Posted 14 days ago
Job Viewed
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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3
Lead Machine Learning Engineer - Computer Vision
Posted 19 days ago
Job Viewed
Job Description
Our client is looking for a visionary Lead Machine Learning Engineer with a specialization in Computer Vision to spearhead their AI initiatives. This role is entirely remote, empowering you to work from your preferred location while contributing to groundbreaking projects. You will be instrumental in designing, developing, and deploying advanced computer vision models and systems that will drive innovation across our product lines. This is a unique chance to lead a talented team and influence the direction of AI development in a dynamic and forward-thinking company.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art computer vision models and algorithms for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Oversee the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Architect scalable and robust ML systems suitable for production environments.
- Collaborate closely with product management, software engineering, and data science teams to define project requirements and deliver impactful solutions.
- Mentor and guide junior machine learning engineers and researchers, fostering technical excellence and professional growth.
- Stay current with the latest research and technological advancements in computer vision and machine learning, identifying opportunities for application.
- Optimize model performance for speed, accuracy, and resource efficiency on various hardware platforms.
- Develop and maintain comprehensive documentation for ML models, pipelines, and system architecture.
- Present research findings and project progress to stakeholders, including technical and non-technical audiences.
- Ensure ethical considerations and bias mitigation are integrated into the development process.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning, with a significant focus on computer vision.
- Demonstrated experience in leading ML projects and mentoring engineering teams.
- Expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, scikit-image, Pillow).
- In-depth understanding of various computer vision techniques and algorithms.
- Proven ability to design, train, and deploy complex deep learning models for vision tasks.
- Experience with cloud computing platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
- Excellent problem-solving, analytical, and debugging skills.
- Exceptional communication and collaboration skills, especially in a remote setting.
- Experience with MLOps principles and tools is a strong advantage.
- Familiarity with embedded systems and edge AI deployments is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning Engineer - Computer Vision
Posted 19 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a talented Machine Learning Engineer specializing in Computer Vision to join their dynamic, fully remote research and development team. This is a critical role focused on designing, building, and deploying advanced computer vision models and systems that solve complex real-world problems. You will work with state-of-the-art algorithms and large-scale datasets to drive advancements in areas such as object detection, image segmentation, facial recognition, and video analysis.
Key responsibilities include developing and optimizing deep learning models for computer vision tasks, implementing and deploying these models into production environments, and continuously monitoring and improving their performance. You will collaborate closely with data scientists, software engineers, and product managers to translate research breakthroughs into practical applications. This involves defining project requirements, designing robust experimental setups, processing and managing large image and video datasets, and evaluating model accuracy and efficiency. You will also contribute to the research community through publications and presentations, staying abreast of the latest advancements in the field.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field, with a strong focus on computer vision. A minimum of 3 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision, is required. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Experience with image processing libraries (e.g., OpenCV) and cloud platforms (AWS, GCP, Azure) is highly desirable. You should have a solid understanding of algorithms, data structures, and software engineering best practices.
We are looking for a creative problem-solver with a passion for cutting-edge technology and a proven ability to work independently and effectively in a remote, collaborative setting. Excellent analytical and communication skills are vital for success in this role. If you are driven by innovation and eager to make a significant impact in the field of computer vision, we invite you to apply for this exciting, fully remote opportunity, supporting projects that may have connections to the **Nakuru, Nakuru, KE** area.
Key responsibilities include developing and optimizing deep learning models for computer vision tasks, implementing and deploying these models into production environments, and continuously monitoring and improving their performance. You will collaborate closely with data scientists, software engineers, and product managers to translate research breakthroughs into practical applications. This involves defining project requirements, designing robust experimental setups, processing and managing large image and video datasets, and evaluating model accuracy and efficiency. You will also contribute to the research community through publications and presentations, staying abreast of the latest advancements in the field.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field, with a strong focus on computer vision. A minimum of 3 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision, is required. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Experience with image processing libraries (e.g., OpenCV) and cloud platforms (AWS, GCP, Azure) is highly desirable. You should have a solid understanding of algorithms, data structures, and software engineering best practices.
We are looking for a creative problem-solver with a passion for cutting-edge technology and a proven ability to work independently and effectively in a remote, collaborative setting. Excellent analytical and communication skills are vital for success in this role. If you are driven by innovation and eager to make a significant impact in the field of computer vision, we invite you to apply for this exciting, fully remote opportunity, supporting projects that may have connections to the **Nakuru, Nakuru, KE** area.
This advertiser has chosen not to accept applicants from your region.
5
Principal Machine Learning Engineer - Computer Vision
Posted 17 days ago
Job Viewed
Job Description
Our client is seeking a Principal Machine Learning Engineer with a strong focus on Computer Vision to join their pioneering team in Kitale, Trans-Nzoia, KE . This is a critical role for an individual with a proven ability to lead complex projects from conception to deployment. You will be instrumental in designing, developing, and optimizing cutting-edge computer vision systems that power a range of innovative applications. This includes working on object detection, image segmentation, facial recognition, and video analysis using deep learning techniques. You will be responsible for architecting scalable ML pipelines, managing large image and video datasets, and ensuring the performance and reliability of production models. This position demands a deep theoretical understanding coupled with practical, hands-on experience in implementing and deploying ML models in real-world scenarios. You will mentor junior engineers, drive technical strategy, and collaborate with product and research teams to define future directions. Experience with state-of-the-art CV frameworks, cloud infrastructure, and MLOps best practices is essential.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of advanced computer vision models.
- Develop and optimize ML pipelines for large-scale image and video data.
- Architect robust and scalable ML systems for production environments.
- Collaborate with researchers to implement and validate new algorithms.
- Mentor and guide a team of ML engineers and data scientists.
- Define technical roadmaps and best practices for computer vision within the organization.
- Ensure the performance, efficiency, and ethical considerations of deployed models.
- Stay current with industry trends and breakthroughs in computer vision and ML.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- 10+ years of experience in machine learning, with at least 5 years focused on computer vision.
- Demonstrated success in deploying ML models to production.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
- Proficiency in Python and C++.
- Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, Azure ML).
- Strong understanding of MLOps principles and tools.
- Excellent leadership and communication skills.
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Senior Machine Learning Engineer - Computer Vision
Posted 19 days ago
Job Viewed
Job Description
Our client, a cutting-edge AI research and development firm, is seeking a highly skilled Senior Machine Learning Engineer with a specialization in Computer Vision to join their world-class, fully remote engineering team. This pivotal role involves designing, developing, and deploying advanced machine learning models and algorithms to solve complex problems in visual data analysis. You will be instrumental in pushing the boundaries of AI, working on challenging projects that require deep expertise in areas such as image recognition, object detection, segmentation, and video analysis. Your responsibilities will include researching state-of-the-art CV techniques, architecting scalable ML pipelines, implementing and fine-tuning deep learning models using frameworks like TensorFlow or PyTorch, and optimizing model performance for deployment in real-world applications. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into innovative AI solutions. Strong proficiency in Python and related ML libraries is essential, as is experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices. The ideal candidate will possess a strong theoretical foundation in machine learning and computer vision, coupled with practical experience in bringing ML models from prototype to production. Exceptional problem-solving skills, a passion for innovation, and the ability to thrive in a fast-paced, collaborative, and fully remote environment are critical. You will contribute significantly to the advancement of our client's AI capabilities and shape the future of computer vision applications.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced machine learning models for computer vision tasks.
- Research and apply state-of-the-art computer vision algorithms (e.g., CNNs, GANs).
- Build and optimize scalable ML pipelines for data preprocessing, training, and inference.
- Fine-tune and deploy deep learning models using frameworks like TensorFlow or PyTorch.
- Perform rigorous model evaluation and performance optimization.
- Collaborate with cross-functional teams to integrate ML solutions into products.
- Stay abreast of the latest research and advancements in machine learning and computer vision.
- Contribute to MLOps practices for robust model deployment and monitoring.
- Write clean, efficient, and well-documented code.
- Present technical findings and solutions to both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field.
- Minimum of 5 years of hands-on experience in machine learning engineering, with a strong focus on computer vision.
- Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, OpenCV).
- Experience with deep learning architectures for image and video analysis.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Familiarity with MLOps tools and best practices.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, suitable for a remote team.
- Proven ability to work independently and drive projects to completion.
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7
Senior Machine Learning Engineer - AI Research (Remote)
Posted 19 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization at the intersection of technology and innovation, is seeking a highly experienced Senior Machine Learning Engineer to join their fully remote AI research team. This role is crucial for pushing the boundaries of artificial intelligence, developing and implementing advanced machine learning models for complex problem-solving. You will be involved in the entire ML lifecycle, from ideation and data preparation to model training, deployment, and optimization. This is a remote-first opportunity to work on challenging AI projects and contribute to significant advancements.
Responsibilities:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning algorithms and models for various applications.
- Conduct research and experimentation to explore new ML techniques and approaches.
- Process, clean, and transform large datasets to prepare them for model training.
- Train, evaluate, and optimize ML models, ensuring performance, scalability, and efficiency.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with software engineers, data scientists, and domain experts to integrate ML solutions into products and services.
- Stay current with the latest advancements in AI, machine learning, deep learning, and related fields.
- Develop and maintain robust ML pipelines and infrastructure.
- Contribute to technical documentation, research papers, and presentations.
- Mentor junior engineers and contribute to fostering a culture of innovation.
- Identify opportunities for applying AI and ML to solve business challenges.
- Ensure ethical considerations and responsible AI practices are integrated into development processes.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 7 years of hands-on experience in machine learning engineering and applied AI research.
- Proven expertise in developing and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong programming skills in Python, and experience with related data science libraries (e.g., Pandas, NumPy).
- Deep understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with data processing, feature engineering, and model evaluation techniques.
- Familiarity with MLOps principles and tools for model deployment and monitoring.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services is highly desirable.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Ability to work independently and lead complex projects in a fully remote environment.
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8
Remote Machine Learning Engineer - Computer Vision
Posted 18 days ago
Job Viewed
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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