1,065 Principal AI Engineer Computer Vision jobs in Kenya
Principal Machine Learning Engineer, Computer Vision
Posted 20 days ago
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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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Principal Machine Learning Engineer (AI/ML)
Posted 2 days ago
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Job Description
Our client is seeking a highly skilled and experienced Principal Machine Learning Engineer to lead cutting-edge AI and Machine Learning initiatives. This is a fully remote position, offering an exceptional opportunity to shape the future of our AI-driven products and services.
As a Principal ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that solve complex business problems. You will mentor junior engineers, drive technical strategy, and ensure the scalability and performance of our ML systems. This role requires a deep understanding of ML principles, strong programming skills, and the ability to work collaboratively in a distributed team environment. You will play a key role in advancing our AI capabilities and delivering innovative solutions.
Key Responsibilities:
As a Principal ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that solve complex business problems. You will mentor junior engineers, drive technical strategy, and ensure the scalability and performance of our ML systems. This role requires a deep understanding of ML principles, strong programming skills, and the ability to work collaboratively in a distributed team environment. You will play a key role in advancing our AI capabilities and delivering innovative solutions.
Key Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models and algorithms.
- Lead the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment.
- Architect scalable and robust ML systems for production environments.
- Conduct research on new ML techniques and technologies to identify opportunities for innovation.
- Mentor and guide junior ML engineers, fostering technical growth and best practices.
- Collaborate with data scientists, software engineers, and product managers to define ML requirements and deliverables.
- Optimize ML models for performance, accuracy, and efficiency.
- Develop and implement strategies for monitoring and maintaining ML models in production.
- Stay abreast of the latest advancements in AI and machine learning research and industry trends.
- Communicate complex technical concepts and project updates to both technical and non-technical stakeholders.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 8-10 years of experience in machine learning engineering or related roles, with a strong track record of delivering impactful ML solutions.
- Extensive experience with various ML algorithms (e.g., deep learning, reinforcement learning, supervised/unsupervised learning).
- Proficiency in programming languages such as Python, Java, or C++.
- Strong experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Excellent understanding of data structures, algorithms, and software design principles.
- Strong analytical and problem-solving skills.
- Proven ability to lead technical projects and mentor team members.
- Exceptional communication and collaboration skills, with the ability to thrive in a remote setting.
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Principal Machine Learning Engineer - Generative AI
Posted 20 days ago
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Job Description
Our client is seeking a world-class Principal Machine Learning Engineer specializing in Generative AI for a fully remote position. This role is at the forefront of AI innovation, focusing on developing and deploying cutting-edge generative models. You will lead complex research and development initiatives, pushing the boundaries of what's possible with large language models, diffusion models, and other advanced AI architectures. Your responsibilities will include designing, implementing, and optimizing state-of-the-art ML algorithms, mentoring a team of talented ML engineers, and collaborating with cross-functional teams to integrate AI solutions into our products. A deep theoretical understanding of machine learning, coupled with extensive practical experience in building and scaling ML systems, is essential. You should have a strong publication record in top-tier AI conferences or journals, or equivalent industry contributions. Expertise in Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and distributed training systems is required. Experience with cloud platforms and MLOps best practices is highly desirable. We are looking for a visionary leader who can not only contribute technically but also shape the strategic direction of our AI initiatives. This role demands a proactive approach, exceptional problem-solving skills, and the ability to thrive in a fast-paced, remote-first research environment. You will be instrumental in developing novel AI applications that have a significant impact. The ideal candidate possesses a PhD in Computer Science, AI, or a related field, or equivalent practical experience. A strong background in mathematics, statistics, and algorithms is crucial. You will be expected to stay at the forefront of AI research, identify new opportunities, and translate them into tangible AI solutions. This is an unparalleled opportunity to work with a brilliant team on challenging problems in AI. If you are a seasoned ML expert passionate about generative AI and eager to make a profound impact, we invite you to apply for this exciting remote role.
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2
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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3
Principal Machine Learning Engineer - Generative AI (Remote)
Posted 20 days ago
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Job Description
Our client is seeking a visionary Principal Machine Learning Engineer with deep expertise in Generative AI to spearhead groundbreaking initiatives within their cutting-edge R&D department. This is a fully remote role for a candidate passionate about pushing the boundaries of what's possible with advanced AI models. You will lead the design, development, and deployment of sophisticated generative models, contributing significantly to the creation of novel AI-powered products and services. This role requires a strong theoretical foundation, hands-on implementation skills, and the ability to mentor other engineers in a collaborative, distributed setting.
Responsibilities:
Responsibilities:
- Lead the research, design, development, and optimization of large-scale generative AI models (e.g., LLMs, diffusion models).
- Architect and implement robust ML pipelines for training, fine-tuning, and deploying generative models.
- Develop novel algorithms and techniques to improve model performance, efficiency, and capabilities.
- Collaborate closely with product managers, researchers, and other engineers to define project scope and objectives.
- Evaluate and select appropriate frameworks, tools, and technologies for ML development and deployment.
- Conduct rigorous experimentation and analysis to validate model effectiveness and identify areas for improvement.
- Mentor and guide junior ML engineers, fostering best practices in coding, experimentation, and documentation.
- Stay at the forefront of advancements in generative AI research and apply new findings to practical applications.
- Publish research findings and contribute to the broader AI community through papers and presentations.
- Ensure responsible AI practices are integrated into the model development lifecycle, addressing bias and ethical considerations.
- Optimize models for production environments, focusing on scalability, latency, and resource utilization.
- This is a fully remote position, demanding excellent communication and collaboration skills to thrive in a distributed team. Success will be measured by impact and innovation, not by physical proximity.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of professional experience in Machine Learning, with at least 5 years focused on Deep Learning and Generative AI.
- Proven track record of designing, training, and deploying state-of-the-art generative models.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with ML libraries (e.g., NumPy, SciPy, Pandas).
- Experience with distributed training and cloud platforms (e.g., AWS, GCP, Azure).
- Deep understanding of transformer architectures, GANs, VAEs, diffusion models, and other generative techniques.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and leadership skills, with the ability to mentor and influence.
- Experience working in a remote-first or distributed team environment is a significant advantage.
- Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR) are highly desirable.
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4
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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5
Principal AI Engineer - Deep Learning Architect
Posted 6 days ago
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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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Principal AI Engineer, Machine Learning
Posted 20 days ago
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Job Description
Our client is seeking a visionary Principal AI Engineer with a specialization in Machine Learning to join their groundbreaking, fully remote research and development team. This is a unique opportunity to lead the design and implementation of advanced AI solutions that will shape the future of our industry. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, AI, or a related field, coupled with extensive experience in developing and deploying complex machine learning models. You will be instrumental in driving innovation, mentoring a team of talented AI engineers, and contributing to high-impact projects that push the boundaries of artificial intelligence.
Key Responsibilities:
Key Responsibilities:
- Lead the research, development, and implementation of cutting-edge machine learning algorithms and models.
- Design and architect scalable AI systems and platforms.
- Develop and deploy predictive models, recommendation engines, natural language processing (NLP) systems, and computer vision solutions.
- Collaborate with data scientists and engineers to curate, clean, and preprocess large datasets.
- Evaluate and select appropriate machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
- Optimize model performance, efficiency, and scalability for production environments.
- Stay abreast of the latest advancements in AI and machine learning research and apply them to solve complex business problems.
- Mentor and guide junior AI engineers and researchers.
- Publish research findings and present work at leading AI conferences.
- Ensure the ethical and responsible development and deployment of AI technologies.
- This fully remote role requires exceptional leadership, strategic thinking, and communication skills. You must be a proactive problem-solver and an excellent collaborator in a virtual environment. A strong publication record and experience with large-scale AI deployments are highly desirable. Join our client in pioneering the next generation of AI, remotely contributing from **Kitale, Trans-Nzoia, KE**, and beyond.
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7
Principal AI Engineer - Machine Learning Platforms
Posted 12 days ago
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Job Description
Our client, a leader in cutting-edge AI and emerging technologies, is seeking a Principal AI Engineer to design and build scalable machine learning platforms. This is a fully remote position, offering the opportunity to work on transformative AI projects from anywhere. You will be responsible for architecting, developing, and deploying sophisticated AI/ML solutions, driving innovation in areas such as deep learning, natural language processing, and computer vision. Your deep technical expertise and passion for AI will shape the future of intelligent systems.
Responsibilities:
Responsibilities:
- Design, develop, and maintain robust, scalable, and production-ready machine learning platforms and infrastructure.
- Lead the implementation of end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
- Architect and develop advanced AI models leveraging techniques such as deep learning, reinforcement learning, and statistical modeling.
- Collaborate with data scientists, software engineers, and product managers to translate business needs into AI solutions.
- Optimize ML models for performance, efficiency, and scalability in distributed computing environments.
- Stay abreast of the latest research and advancements in AI, machine learning, and related fields.
- Mentor junior AI engineers and contribute to the technical growth of the team.
- Define and implement best practices for ML development, MLOps, and model monitoring.
- Evaluate and integrate new AI technologies and tools to enhance platform capabilities.
- Troubleshoot and resolve complex technical challenges in AI/ML systems.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 10+ years of experience in AI/ML engineering, with a significant focus on building and deploying ML platforms.
- Expertise in programming languages such as Python, Java, or C++, and ML frameworks (e.g., TensorFlow, PyTorch, Keras).
- Deep understanding of various machine learning algorithms, statistical modeling, and data science principles.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Proven ability to design and implement scalable ML systems and MLOps practices.
- Strong knowledge of software engineering best practices, including version control, testing, and CI/CD.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration skills, highly effective in a remote setting.
- Published research in relevant AI/ML conferences or journals is a plus.
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Principal Machine Learning Engineer - Advanced AI Systems
Posted 20 days ago
Job Viewed
Job Description
Our client, a trailblazer in AI & Emerging Technologies, is seeking a Principal Machine Learning Engineer to lead the design and implementation of cutting-edge AI systems. This is a fully remote position, allowing you to contribute to groundbreaking AI research and development from anywhere in the world. You will be responsible for architecting, developing, and deploying advanced machine learning models that solve complex real-world problems. Your role will involve overseeing the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment into production environments. You will collaborate closely with research scientists, software engineers, and product managers to define project scope, establish technical direction, and ensure the scalability and performance of our AI solutions. Key responsibilities include staying at the forefront of ML research, experimenting with new algorithms and techniques, and driving innovation within the team. You will also mentor junior engineers, contribute to technical strategy, and present findings to senior leadership. The ideal candidate will have a Master's or PhD in Computer Science, Machine Learning, or a related quantitative field, with a minimum of 8 years of experience in machine learning and software engineering. A proven track record of successfully developing and deploying complex ML models in production, particularly in areas like deep learning, NLP, or computer vision, is essential. Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, GCP, Azure) are required. Exceptional analytical, problem-solving, and system design skills, along with excellent communication and leadership abilities, are crucial for success in this senior remote role. You will have the opportunity to work on challenging projects, push the boundaries of AI technology, and make a significant impact on the future of artificial intelligence. This role demands a leader who can guide technical direction and foster a culture of excellence in AI development within a distributed team. Your expertise will be vital in building robust, scalable, and performant AI solutions that drive significant value.
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