1,062 Senior AI Ml Engineer Deep Learning jobs in Kenya
Lead Machine Learning Engineer - Computer Vision
Posted 20 days ago
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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.
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Machine Learning Engineer - Computer Vision
Posted 20 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a talented 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.
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Machine Learning Engineer - AI Research
Posted 17 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant Machine Learning Engineer to join their cutting-edge research team. This is a fully remote position, allowing you to work with a world-class team from your preferred location. The successful candidate will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that power next-generation AI solutions. You will work with large datasets, conduct rigorous experimentation, and translate research findings into production-ready systems. This role requires a deep understanding of statistical modeling, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages such as Python. Your responsibilities will include exploring new AI techniques, building robust ML pipelines, and collaborating with data scientists and software engineers to integrate AI capabilities into various applications. The Machine Learning Engineer will also be involved in performance tuning, model evaluation, and staying abreast of the latest advancements in the field of artificial intelligence and emerging technologies. Excellent problem-solving skills, a strong analytical mindset, and a passion for pushing the boundaries of AI are essential. You should have a proven ability to work independently, manage complex projects, and communicate technical concepts effectively. A PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field is highly preferred. This is an unparalleled opportunity to contribute to groundbreaking AI research and development and shape the future of technology.Thika, Kiambu, KE
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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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Principal Machine Learning Engineer, Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Our client is at the forefront of developing innovative computer vision solutions and is seeking a highly experienced Principal Machine Learning Engineer to lead their advanced research and development efforts. This is a fully remote position, offering the opportunity to contribute your cutting-edge expertise from anywhere within Kenya. You will be responsible for designing, developing, and deploying state-of-the-art machine learning models for complex computer vision tasks, including object detection, image segmentation, and facial recognition. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong publication record in top-tier ML conferences. You will architect scalable ML systems, optimize model performance, and mentor junior engineers. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras is essential, along with extensive experience in Python and C++. Experience with cloud platforms (AWS, GCP, Azure) and distributed training techniques is highly desirable. You will play a key role in defining the technical direction for computer vision projects, pushing the boundaries of what's possible. The ability to translate complex business problems into effective ML solutions is critical. You will lead cross-functional teams, collaborate with product managers, and contribute to the overall AI strategy of the organization. This role requires exceptional problem-solving skills, a passion for innovation, and the ability to thrive in a fast-paced, research-driven environment. The successful applicant will be a thought leader in the computer vision space, driving impactful advancements and shaping the future of our client's AI capabilities, in a remote capacity relevant to Kakamega, Kakamega, KE .
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Senior Machine Learning Engineer - Computer Vision
Posted 20 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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5
Principal Machine Learning Engineer - AI Research
Posted 10 days ago
Job Viewed
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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6
Senior Machine Learning Engineer (AI Research)
Posted 20 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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7
Principal AI Engineer (Computer Vision)
Posted 20 days ago
Job Viewed
Job Description
Our client is looking for a highly skilled Principal AI Engineer specializing in Computer Vision to lead innovative development efforts. This role is fully remote, offering the flexibility to work from anywhere. You will be at the forefront of designing, developing, and deploying state-of-the-art computer vision models and systems. This includes working on tasks such as object detection, image segmentation, facial recognition, and video analysis. The ideal candidate will possess a deep theoretical understanding of machine learning and deep learning, coupled with extensive practical experience in building and optimizing computer vision algorithms. You will collaborate with a talented team of researchers and engineers, contributing to the entire lifecycle of AI products, from conception to production. Strong programming skills in Python and proficiency with deep learning frameworks like TensorFlow or PyTorch are essential. We seek an individual who can tackle complex challenges, drive technical excellence, and mentor junior engineers. A significant publication record in top-tier computer vision conferences or journals is highly desirable. Your ability to translate complex research into scalable and robust engineering solutions will be critical. This position offers an exceptional opportunity to shape the future of AI-powered visual intelligence in a dynamic, remote-first environment.
Key Responsibilities:
Key Responsibilities:
- Lead the design and implementation of advanced computer vision algorithms and systems.
- Develop and train deep learning models for tasks such as object detection, segmentation, tracking, and recognition.
- Optimize model performance for accuracy, speed, and efficiency on various hardware platforms.
- Conduct research into new computer vision techniques and approaches.
- Collaborate with software engineers to integrate computer vision models into production applications.
- Evaluate and benchmark model performance rigorously.
- Mentor and guide junior AI engineers and researchers.
- Stay current with the latest advancements in the field of computer vision and AI.
- Contribute to technical strategy and roadmap for AI/CV initiatives.
- Write high-quality, production-ready code and comprehensive technical documentation.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning.
- Minimum of 8 years of experience in computer vision research and development.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, Keras.
- Strong proficiency in Python and C++.
- Solid understanding of image processing techniques and mathematical principles underlying computer vision.
- Experience with large-scale datasets and distributed training.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Strong communication and collaboration skills for a remote team environment.
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Lead AI Engineer - Deep Learning
Posted 19 days ago
Job Viewed
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.
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