3,199 Remote Lead AI Engineer jobs in Kenya
Remote Lead Research Scientist - AI/ML
Posted 4 days ago
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Job Description
Our client, a cutting-edge scientific research and development organization, is seeking an innovative and experienced Lead Research Scientist specializing in Artificial Intelligence and Machine Learning. This fully remote position offers an unparalleled opportunity to lead groundbreaking research initiatives, drive the development of novel AI/ML models, and contribute to significant scientific advancements. You will be responsible for conceptualizing, designing, and executing complex research projects, from initial hypothesis formulation to experimental validation and prototype development. Your work will involve pushing the boundaries of current AI/ML capabilities, exploring new algorithms, and applying advanced statistical and computational techniques to solve challenging problems. You will collaborate closely with a team of world-class researchers and engineers, providing technical leadership, mentorship, and strategic direction. Responsibilities include staying at the forefront of AI/ML research, publishing findings in top-tier journals and conferences, and translating research outcomes into practical applications or product innovations. The ideal candidate will possess a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a substantial publication record and demonstrated experience in leading research projects. Exceptional programming skills in languages like Python, proficiency with ML frameworks (e.g., TensorFlow, PyTorch), and a deep understanding of various ML paradigms are essential. This role requires a visionary leader with strong analytical, problem-solving, and critical thinking skills. As a remote role, you must be highly self-motivated, organized, and capable of effectively communicating complex technical concepts to diverse audiences. This is a unique chance to shape the future of AI/ML within a leading research environment. This remote role supports research initiatives in Embu, Embu, KE .
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Remote Lead Technical Sourcer - AI/ML Focus
Posted 19 days ago
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Job Description
Our client, a leading innovator in artificial intelligence and machine learning solutions, is seeking a highly experienced Remote Lead Technical Sourcer. This fully remote position is integral to building out their world-class AI/ML engineering teams. You will be responsible for developing and executing innovative sourcing strategies to identify, engage, and attract top-tier talent in specialized fields such as machine learning, deep learning, computer vision, and natural language processing. As a Lead Sourcer, you will also mentor junior sourcers, build talent pipelines, and collaborate closely with recruiters and hiring managers to ensure a consistent flow of qualified candidates. Responsibilities:
- Design and implement cutting-edge sourcing strategies to identify passive and active candidates in highly competitive AI/ML domains.
- Leverage a wide array of tools and platforms, including advanced Boolean search, X-ray searches, social media, and professional networks.
- Build and nurture robust talent pipelines for current and future AI/ML engineering roles.
- Partner closely with technical recruiters and hiring managers to deeply understand role requirements and team dynamics.
- Develop compelling outreach messaging to effectively engage top talent.
- Screen candidates, conduct initial technical assessments, and present qualified prospects.
- Mentor and guide junior technical sourcers, fostering their growth and development.
- Track and analyze sourcing metrics to identify areas for improvement and report on progress.
- Stay informed about the latest trends and advancements in AI/ML technologies and the talent market.
- Contribute to the development of employer branding initiatives within the AI/ML community.
- Bachelor's degree in Computer Science, Engineering, Human Resources, or a related field.
- Minimum of 6 years of experience in technical sourcing, with a strong specialization in AI/ML or related advanced technology fields.
- Demonstrated success in sourcing for highly niche and specialized technical roles.
- Expert proficiency with sourcing tools and techniques, including advanced Boolean search and LinkedIn Recruiter.
- Deep understanding of AI/ML concepts, frameworks (TensorFlow, PyTorch), and programming languages (Python, C++).
- Excellent communication, interpersonal, and persuasion skills.
- Proven ability to mentor and lead other sourcers.
- Strong organizational skills and ability to manage multiple complex searches simultaneously in a remote environment.
- Analytical mindset with the ability to interpret data and metrics.
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Lead AI/ML Engineer - Computer Vision
Posted 15 days ago
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Job Description
Our client is seeking a highly skilled and innovative Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge research and development team. This is a fully remote position offering the opportunity to work on groundbreaking projects at the forefront of artificial intelligence. The ideal candidate will possess a strong foundation in machine learning, deep learning, and extensive experience in developing and deploying computer vision models.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
- Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
- Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
- Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
- Oversee the data collection, annotation, and preparation process for training computer vision models.
- Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
- Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
- Write high-quality, well-documented code in languages such as Python.
- Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
- Contribute to intellectual property and publish research findings where appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Computer Vision.
- Proven track record of developing and deploying complex computer vision models in production environments.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong knowledge of algorithms, data structures, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with model optimization and deployment strategies is highly desirable.
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Lead AI/ML Engineer (Deep Learning)
Posted 22 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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Lead AI/ML Engineer - Computer Vision (Remote)
Posted 5 days ago
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Job Description
Our client is at the forefront of innovation and is looking for a highly accomplished Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge, fully remote team. This role is central to developing and deploying advanced AI solutions that leverage visual data for groundbreaking applications. You will be responsible for designing, implementing, and optimizing deep learning models for tasks such as object detection, image segmentation, facial recognition, and video analysis. The ideal candidate will possess a profound understanding of computer vision algorithms, neural networks, and machine learning frameworks (e.g., TensorFlow, PyTorch). You will lead a team of talented engineers, guiding them through the entire ML lifecycle, from data preprocessing and model training to deployment and monitoring in production environments. This is a remote-first position, requiring exceptional leadership, communication, and collaboration skills to effectively manage a distributed team and interact with stakeholders. You will stay abreast of the latest research and advancements in AI and computer vision, identifying opportunities to integrate novel techniques into our product offerings. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. We seek an individual with a strong theoretical foundation and practical experience in solving complex real-world problems using AI. A proven track record of delivering successful computer vision projects, ideally in areas like autonomous systems, medical imaging, or augmented reality, is essential. You must be adept at debugging complex models, optimizing performance, and ensuring the scalability and robustness of AI systems. The job location for context, although this position is fully remote, is **Mombasa, Mombasa, KE**.
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Lead Machine Learning Engineer - Computer Vision
Posted 8 days ago
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Job Description
Our client is seeking an experienced Lead Machine Learning Engineer with a specialization in Computer Vision to join their fully remote, forward-thinking AI team. This is an exciting opportunity to take on a leadership role in designing, developing, and deploying advanced computer vision solutions that drive innovation across various applications. You will be instrumental in shaping the technical direction of our computer vision projects, mentoring a team of talented engineers, and pushing the boundaries of image and video analysis. As a remote-first organization, we foster a collaborative and dynamic environment where your contributions are highly valued.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art machine learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and video analysis.
- Architect robust and scalable ML pipelines for data processing, model training, evaluation, and deployment in production environments.
- Mentor and guide a team of machine learning engineers, fostering technical excellence and collaborative problem-solving.
- Collaborate closely with cross-functional teams, including AI researchers, software engineers, and product managers, to translate business requirements into technical solutions.
- Stay at the forefront of computer vision research and industry advancements, identifying opportunities to integrate novel techniques and technologies.
- Optimize model performance for efficiency, accuracy, and scalability across various hardware platforms.
- Develop and maintain high-quality, well-documented code adhering to best practices in software engineering and MLOps.
- Contribute to the strategic roadmap for AI and computer vision initiatives within the organization.
- Present technical findings, project updates, and strategic recommendations to stakeholders.
- Ensure the ethical development and deployment of AI systems, adhering to fairness and bias mitigation principles.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field with a strong focus on Computer Vision.
- Extensive experience in developing and deploying machine learning models for computer vision applications.
- Deep understanding of core computer vision algorithms, deep learning architectures (CNNs, Transformers), and relevant frameworks (e.g., TensorFlow, PyTorch, OpenCV).
- Proven experience in leading technical teams and managing complex ML projects.
- Proficiency in Python and experience with MLOps practices and tools.
- Strong analytical, problem-solving, and algorithmic thinking skills.
- Excellent communication and collaboration skills, essential for effective remote teamwork.
- Experience with cloud platforms (AWS, GCP, Azure) for ML workloads is highly desirable.
- Demonstrated ability to work independently and drive projects to completion in a remote setting.
- Track record of publications or contributions to open-source computer vision projects is a plus.
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Lead AI Engineer - Deep Learning
Posted 21 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.
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Lead Machine Learning Engineer (AI)
Posted 15 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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Lead AI Solutions Architect - Machine Learning & Data Science
Posted 14 days ago
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Job Description
Our client is seeking a visionary Lead AI Solutions Architect to spearhead their AI and emerging technologies initiatives. This is a fully remote position, offering the opportunity to shape the future of artificial intelligence within the organization and for its diverse clientele. You will be responsible for designing, developing, and implementing sophisticated AI-driven solutions, encompassing machine learning models, natural language processing, computer vision, and advanced data analytics. The ideal candidate will possess a deep understanding of the entire AI lifecycle, from data ingestion and preparation to model training, deployment, and monitoring. Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services is essential. You will collaborate closely with product managers, data scientists, software engineers, and business stakeholders to translate complex business problems into scalable and effective AI solutions. Strong leadership qualities, excellent communication skills, and the ability to mentor junior team members are crucial. You should have a proven track record of architecting and delivering successful AI projects in production environments. This role requires exceptional analytical, strategic thinking, and problem-solving abilities, coupled with a passion for innovation and a commitment to staying at the forefront of AI advancements. A Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field is required; a Ph.D. is a significant advantage. A minimum of 8 years of experience in data science, machine learning, or AI engineering, with at least 3 years in a lead or architect role, is necessary. Proficiency in programming languages like Python or R and experience with deep learning frameworks (TensorFlow, PyTorch) are mandatory. Join us to drive innovation and leverage the power of AI to solve challenging real-world problems, all within a flexible, remote work setup.
Responsibilities:
Responsibilities:
- Designing end-to-end AI and machine learning solutions to address complex business challenges.
- Architecting scalable and robust ML pipelines for data processing, model training, and deployment.
- Leading the development and implementation of predictive models, NLP systems, and computer vision applications.
- Evaluating and selecting appropriate AI technologies, frameworks, and cloud services.
- Collaborating with data scientists and engineers to ensure efficient and effective solution delivery.
- Providing technical leadership and guidance to AI/ML teams.
- Communicating complex technical concepts to non-technical stakeholders.
- Staying current with the latest research and advancements in AI and machine learning.
- Minimum of 8 years of experience in AI, machine learning, or data science, with 3+ years in an architect or lead role.
- M.Sc. or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field; M.Sc. required.
- Extensive experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Expertise in Python or R, and deep learning frameworks (TensorFlow, PyTorch).
- Proven ability to design and deploy production-level AI solutions.
- Strong understanding of various machine learning algorithms and data science methodologies.
- Excellent leadership, communication, and problem-solving skills.
- Ability to thrive in a dynamic, remote work environment.
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Remote Lead Machine Learning Engineer
Posted 1 day ago
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Job Description
Our client is at the forefront of AI innovation and is seeking an exceptional Remote Lead Machine Learning Engineer to spearhead the development and deployment of cutting-edge AI solutions. This is a pivotal role where you will guide a talented team of engineers, architect sophisticated ML systems, and drive the implementation of advanced algorithms. You will be responsible for the entire ML lifecycle, from data acquisition and model training to deployment and ongoing optimization. The ideal candidate possesses deep expertise in machine learning, strong programming skills, proven leadership experience, and a passion for tackling complex challenges in a remote, collaborative environment. This position offers the unique opportunity to shape the future of AI from anywhere in Kenya.
Key Responsibilities:
Key Responsibilities:
- Lead and mentor a team of machine learning engineers, fostering a culture of innovation and technical excellence.
- Architect, design, and implement scalable and robust machine learning systems and pipelines.
- Develop, train, and evaluate advanced machine learning models for various applications (e.g., prediction, classification, natural language processing, computer vision).
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliverables.
- Oversee the end-to-end ML lifecycle, including data preprocessing, feature engineering, model selection, training, and validation.
- Deploy ML models into production environments, ensuring performance, scalability, and reliability.
- Monitor and maintain deployed models, implementing strategies for continuous improvement and retraining.
- Stay abreast of the latest research, techniques, and tools in machine learning and AI.
- Contribute to the development of best practices and standards for ML development and MLOps.
- Conduct code reviews and provide technical guidance to team members.
- Communicate complex technical concepts and findings effectively to both technical and non-technical stakeholders.
- Identify opportunities for applying ML to solve business problems and drive innovation.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of hands-on experience in machine learning engineering, with a strong track record of delivering production-ready ML solutions.
- Proven experience leading and managing ML engineering teams.
- Deep understanding of various machine learning algorithms and their theoretical underpinnings.
- Proficiency in programming languages such as Python, Java, or Scala, and extensive experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools and practices.
- Strong background in data manipulation, feature engineering, and statistical analysis.
- Excellent problem-solving, analytical, and critical thinking skills.
- Outstanding communication and collaboration abilities, with experience working in remote, distributed teams.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Experience in (mention specific AI domain if relevant, e.g., NLP, CV, Recommender Systems) is highly desirable.
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