7,104 Lead AI Engineer Remote jobs in Kenya
Remote Lead Machine Learning Engineer
Posted today
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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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Lead Machine Learning Engineer (Remote)
Posted 21 days ago
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Job Description
Our client, a cutting-edge technology firm renowned for its innovative AI solutions, is seeking a highly accomplished Lead Machine Learning Engineer to spearhead the development and deployment of advanced AI models. This is a fully remote, senior leadership position offering the opportunity to shape the future of machine learning within the organization. You will be responsible for architecting, building, and optimizing machine learning systems that address complex business challenges. This includes overseeing the entire ML lifecycle, from data ingestion and preprocessing to model training, evaluation, and deployment into production environments. The ideal candidate will have a strong theoretical foundation in ML algorithms and practical experience in implementing scalable ML solutions. You will mentor junior engineers, drive best practices in MLOps, and collaborate closely with product managers and data scientists to translate business needs into effective AI capabilities. Your expertise will be crucial in pushing the boundaries of what's possible with AI.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models and systems.
- Lead the end-to-end ML lifecycle, including data preparation, feature engineering, model training, and evaluation.
- Architect robust and efficient ML pipelines for production environments.
- Mentor and guide a team of machine learning engineers and data scientists.
- Drive the adoption of best practices in MLOps, model versioning, and continuous integration/deployment.
- Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
- Evaluate and select appropriate ML algorithms and tools for specific problems.
- Monitor and maintain deployed ML models, ensuring performance and reliability.
- Conduct research on state-of-the-art ML techniques and technologies.
- Contribute to the strategic direction of the AI/ML roadmap.
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Minimum of 8 years of experience in machine learning engineering or a related role, with at least 2 years in a lead capacity.
- Strong expertise in programming languages such as Python, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven experience in building and deploying production-level ML systems.
- Deep understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and team collaboration abilities.
- Ability to thrive in a fast-paced, fully remote work environment.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead AI Engineer, Machine Learning Operations
Posted 21 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of artificial intelligence innovation, is seeking an exceptional Lead AI Engineer specializing in Machine Learning Operations (MLOps) to join their fully remote, world-class engineering team. This is a transformative opportunity for a seasoned AI/ML professional to architect, build, and manage robust, scalable MLOps pipelines and infrastructure that will power our client's next generation of AI products. The ideal candidate possesses a deep understanding of machine learning lifecycle management, cloud computing, and DevOps principles, coupled with proven leadership experience. As a remote-first leader, you must demonstrate outstanding self-management, proactive communication, and the ability to inspire and guide a geographically distributed team. Your responsibilities will encompass designing and implementing end-to-end MLOps workflows, including data pipelines, model training, validation, deployment, monitoring, and continuous improvement. You will champion best practices in CI/CD for machine learning, model versioning, experiment tracking, and performance monitoring. You will also be instrumental in selecting and integrating MLOps tools and platforms, ensuring efficiency, reliability, and scalability. Collaboration with data scientists, software engineers, and product managers will be key to translating AI research into production-ready solutions. We are looking for an individual with a passion for automation, a strong track record of delivering complex AI/ML projects, and excellent problem-solving skills. The ability to lead technical discussions, mentor junior engineers, and contribute to the strategic direction of AI/ML initiatives in a remote setting is paramount. This role offers an unparalleled chance to drive innovation and operational excellence in AI from anywhere in the world.
Responsibilities:
Responsibilities:
- Design, build, and maintain scalable MLOps pipelines for machine learning models.
- Implement CI/CD practices for model training, deployment, and retraining.
- Manage model versioning, experiment tracking, and model registry systems.
- Develop and implement robust model monitoring and performance evaluation strategies.
- Select, integrate, and manage MLOps tools and platforms (e.g., Kubeflow, MLflow, Docker, Kubernetes).
- Automate data preprocessing, feature engineering, and model validation workflows.
- Collaborate with data scientists and engineers to streamline the ML development lifecycle.
- Ensure the reliability, scalability, and security of AI/ML production environments.
- Lead and mentor a team of AI/ML engineers in a remote setting.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with at least 3 years focused on MLOps.
- Proven experience in designing and implementing end-to-end MLOps solutions.
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their ML services.
- Proficiency in programming languages such as Python, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with containerization technologies (Docker) and orchestration (Kubernetes).
- Solid understanding of DevOps principles and CI/CD practices.
- Excellent leadership, communication, and problem-solving skills.
- Experience working in a remote, distributed team environment.
- Published research or contributions to open-source AI/ML projects are a plus.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead AI Engineer - Machine Learning Operations (MLOps)
Posted 21 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a visionary Lead AI Engineer specializing in Machine Learning Operations (MLOps) to build and scale their AI infrastructure. This is a fully remote position, offering the flexibility to work from your preferred location. You will be responsible for designing, implementing, and maintaining robust MLOps pipelines that enable the efficient development, deployment, monitoring, and management of machine learning models. This includes automating model training, versioning, testing, and deployment processes, ensuring reliability and scalability. You will work closely with data scientists and ML engineers to operationalize their models, bridging the gap between research and production environments. Experience with cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), and CI/CD pipelines is essential. You will be instrumental in establishing best practices for MLOps, including model monitoring, performance tracking, and incident response. A deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and data engineering principles is required. This role demands strong programming skills (Python), scripting capabilities, and expertise in infrastructure-as-code tools. You will play a key role in troubleshooting and resolving issues related to ML model performance and operational stability. A significant part of your contribution will involve exploring and implementing cutting-edge MLOps tools and techniques to enhance the team's efficiency and the robustness of our AI systems. You will also contribute to the technical roadmap for AI infrastructure and mentor junior engineers. This is an exceptional opportunity for a seasoned AI/ML professional to lead the operationalization of AI at scale in a dynamic, remote-first environment.
Responsibilities:
Qualifications:
Responsibilities:
- Design, build, and maintain end-to-end MLOps pipelines for ML model lifecycle management.
- Automate model training, validation, deployment, and monitoring processes.
- Collaborate with data scientists and ML engineers to operationalize models.
- Implement and manage CI/CD pipelines for machine learning workflows.
- Ensure the scalability, reliability, and performance of AI infrastructure.
- Develop and enforce MLOps best practices and standards.
- Monitor model performance in production and implement necessary adjustments.
- Troubleshoot and resolve operational issues related to AI systems.
- Stay current with emerging MLOps tools, technologies, and trends.
- Mentor junior AI and ML engineers.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of experience in AI/ML engineering with a strong focus on MLOps.
- Proven expertise in building and managing MLOps pipelines.
- Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch).
- Experience with CI/CD tools and infrastructure-as-code.
- Deep understanding of machine learning concepts and model lifecycle.
- Excellent problem-solving, analytical, and communication skills.
- Experience in a remote leadership role is advantageous.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead AI Ethicist
Posted 21 days ago
Job Viewed
Job Description
Our client, at the forefront of AI and Emerging Technologies, is seeking a distinguished Lead AI Ethicist to join their innovative and fully remote team. This pivotal role is responsible for establishing and overseeing ethical guidelines, principles, and frameworks for the development and deployment of artificial intelligence technologies. You will play a crucial part in ensuring that our AI systems are developed and used responsibly, fairly, and transparently, mitigating potential biases and societal risks. Responsibilities include conducting thorough ethical reviews of AI projects, developing educational materials and training programs on AI ethics, advising engineering and product teams on ethical considerations, and staying abreast of evolving regulations and societal expectations in AI ethics. The ideal candidate will possess a strong academic background in a relevant field (e.g., philosophy, computer science, law, social sciences) combined with practical experience in AI ethics or responsible AI implementation. Exceptional critical thinking, communication, and stakeholder management skills are essential for this role, enabling you to engage effectively with diverse technical and non-technical audiences in a virtual setting. You will lead discussions, facilitate consensus-building, and champion ethical best practices across the organization. This position demands a proactive and forward-thinking individual who can anticipate emerging ethical challenges and develop robust strategies to address them. Collaboration with internal ethics committees, external researchers, and policymakers will be a key aspect of this role. As a remote-first position, strong self-discipline, organizational skills, and proficiency with virtual collaboration tools are required. This is an unparalleled opportunity to shape the ethical landscape of AI development and deployment, contributing to the responsible advancement of technology from your remote workspace, supporting initiatives impacting areas like **Machakos, Machakos, KE**.
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Job Description
Our client is seeking an visionary and experienced Remote Lead AI Strategist to spearhead their initiatives in Artificial Intelligence and Emerging Technologies. This fully remote role demands a forward-thinking individual who can shape and execute a comprehensive AI strategy that drives innovation and competitive advantage. You will be responsible for identifying key opportunities for AI integration across the business, defining the roadmap for AI development and deployment, and ensuring alignment with overall business objectives. The ideal candidate possesses a deep understanding of various AI disciplines, including machine learning, natural language processing, computer vision, and generative AI, coupled with extensive experience in strategic planning and technology implementation. You will lead a team of AI specialists, foster a culture of innovation, and collaborate closely with executive leadership and cross-functional teams to translate AI potential into tangible business outcomes. Responsibilities include conducting feasibility studies, evaluating new AI technologies and platforms, developing ethical AI guidelines, and overseeing the implementation of AI solutions. You will also be tasked with measuring the impact of AI initiatives and iterating on strategies based on performance data. Strong communication, leadership, and stakeholder management skills are crucial. We are looking for a proactive leader who can articulate complex AI concepts, inspire teams, and champion the adoption of AI throughout the organization. A proven track record of successfully developing and deploying AI strategies in a complex organizational setting is essential. Experience with cloud-based AI platforms and MLOps practices is highly beneficial. This is a unique opportunity to be at the forefront of technological advancement, shaping the future of our client through intelligent solutions.
Responsibilities:
Responsibilities:
- Develop and execute a comprehensive AI strategy aligned with business goals.
- Identify opportunities for AI and machine learning applications across various business functions.
- Lead the research, evaluation, and selection of AI technologies, tools, and platforms.
- Define the roadmap for AI development, implementation, and scaling.
- Oversee the design and development of AI models and solutions.
- Collaborate with engineering, product, and business teams to integrate AI capabilities.
- Provide technical leadership and mentorship to AI/ML teams.
- Develop and enforce ethical AI principles and governance frameworks.
- Monitor and measure the performance and impact of AI initiatives.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Communicate AI strategy and progress to stakeholders at all levels.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 10+ years of experience in AI/ML, with at least 5 years in a strategic or leadership role.
- Deep understanding of various AI domains (ML, NLP, Computer Vision, Generative AI).
- Proven experience in developing and implementing successful AI strategies.
- Strong knowledge of AI platforms, tools, and best practices (e.g., TensorFlow, PyTorch, cloud AI services).
- Excellent leadership, communication, and stakeholder management skills.
- Experience with MLOps and deploying AI solutions into production.
- Ability to translate complex technical concepts into business value.
- Demonstrated ability to work effectively in a remote, collaborative environment.
This advertiser has chosen not to accept applicants from your region.
5
Remote Lead AI Engineer
Posted 18 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is seeking a highly skilled and visionary Remote Lead AI Engineer to architect and lead the development of our next-generation artificial intelligence solutions. This is a challenging, fully remote position where you will drive the technical direction, mentor a team of AI specialists, and contribute to the strategic roadmap of our AI initiatives. You will be responsible for designing, building, and deploying advanced AI models and systems that address complex business problems across various domains. A strong foundation in machine learning, deep learning, natural language processing, computer vision, and data science is essential. You should have extensive experience with major AI frameworks, cloud platforms, and programming languages. The ideal candidate is a proactive problem-solver with a passion for cutting-edge technology and a proven ability to translate research into production-ready solutions. Key responsibilities include:
A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with at least 8 years of experience in AI/ML development, with a significant portion in a leadership role. Proven experience with major AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP) is mandatory. Strong programming skills in Python, and experience with distributed computing frameworks are essential. Excellent communication, collaboration, and problem-solving skills are required to effectively lead a remote team and work with cross-functional departments. If you are a visionary AI leader passionate about shaping the future of technology, we invite you to apply.
- Leading the design, development, and implementation of AI/ML models and algorithms.
- Architecting scalable and robust AI systems for various applications.
- Mentoring and guiding a team of AI engineers and data scientists.
- Collaborating with product managers and stakeholders to define AI product roadmaps and features.
- Researching and evaluating new AI technologies and methodologies.
- Ensuring the performance, reliability, and security of deployed AI solutions.
- Developing and maintaining best practices for AI development and deployment (MLOps).
- Analyzing large datasets to extract insights and inform model development.
- Presenting technical concepts and project progress to diverse audiences.
- Staying up-to-date with the latest advancements in AI and machine learning.
A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with at least 8 years of experience in AI/ML development, with a significant portion in a leadership role. Proven experience with major AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP) is mandatory. Strong programming skills in Python, and experience with distributed computing frameworks are essential. Excellent communication, collaboration, and problem-solving skills are required to effectively lead a remote team and work with cross-functional departments. If you are a visionary AI leader passionate about shaping the future of technology, we invite you to apply.
This advertiser has chosen not to accept applicants from your region.
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6
Remote Lead AI Solutions Architect
Posted 21 days ago
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Job Description
Our client is looking for an innovative and highly skilled Lead AI Solutions Architect to join their cutting-edge, fully remote team. In this pivotal role, you will be responsible for designing, developing, and implementing advanced artificial intelligence and machine learning solutions that drive business value. You will leverage your deep technical expertise and strategic vision to architect scalable, robust, and efficient AI systems, working closely with cross-functional teams, data scientists, and engineers. This position demands a profound understanding of AI/ML concepts, cloud platforms, and software engineering best practices. You will guide the technical direction of AI projects, mentor junior team members, and ensure the successful deployment of state-of-the-art AI applications. This is an unparalleled opportunity to shape the future of AI and contribute to groundbreaking projects from the comfort of your remote workspace.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design and architect end-to-end AI/ML solutions, from data ingestion and processing to model development, deployment, and monitoring.
- Evaluate and select appropriate AI/ML frameworks, tools, and cloud platforms (e.g., AWS, Azure, GCP) for solution implementation.
- Collaborate with data scientists to translate business requirements into technical specifications and actionable AI models.
- Lead the development and integration of AI models into existing or new software systems.
- Ensure the scalability, performance, and security of deployed AI solutions.
- Provide technical leadership and guidance to AI/ML engineers and data scientists.
- Stay abreast of the latest advancements in AI, machine learning, and related technologies.
- Develop and maintain best practices for AI/ML development, deployment, and lifecycle management.
- Communicate complex technical concepts and solutions effectively to both technical and non-technical stakeholders.
- Identify opportunities for leveraging AI/ML to solve business problems and create new value.
- Contribute to the definition of the company's AI strategy and roadmap.
- Conduct code reviews and ensure adherence to high-quality software engineering standards.
- Troubleshoot and resolve complex technical issues related to AI systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 8 years of experience in software engineering, with at least 5 years focused on designing and implementing AI/ML solutions.
- Proven experience as a Lead AI/ML Engineer or Solutions Architect, with a portfolio of successful AI projects.
- Deep expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
- Extensive experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages such as Python, R, and Java.
- Strong understanding of data engineering, MLOps, and CI/CD principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication, collaboration, and leadership abilities.
- Ability to work independently and lead projects in a fast-paced, remote environment.
- Must have a reliable internet connection and a dedicated, professional workspace.
This advertiser has chosen not to accept applicants from your region.
7
Remote Lead AI Ethicist - Emerging Technologies
Posted 5 days ago
Job Viewed
Job Description
Our client, a pioneer in AI and Emerging Technologies, is seeking a visionary Lead AI Ethicist to spearhead ethical considerations within our cutting-edge research and development initiatives. This is a fully remote position, offering the opportunity to shape responsible innovation from your home office and collaborate with a global team of leading technologists and ethicists. You will be instrumental in developing and implementing frameworks that ensure our AI systems are fair, transparent, and beneficial to society.
As the Lead AI Ethicist, your responsibilities will include guiding the ethical design and deployment of AI products and services, conducting impact assessments, and advising development teams on potential ethical risks. You will research and stay abreast of evolving ethical guidelines, regulatory landscapes, and best practices in AI ethics. Developing educational materials and fostering a culture of ethical awareness throughout the organization will also be a key component of this role. This position demands a deep understanding of AI technologies, ethical theories, and their societal implications, coupled with exceptional communication and leadership skills.
We are looking for a candidate with a robust academic background and practical experience in applying ethical principles to AI and emerging technologies. Strong analytical and critical thinking skills are essential, as is the ability to engage with diverse stakeholders, including engineers, product managers, legal teams, and the public. The ideal candidate will be a thought leader in the field, capable of translating complex ethical concepts into actionable guidance. Excellent written and verbal communication skills are vital for articulating ethical principles and influencing decision-making in a remote setting.
Key Responsibilities :
Qualifications :
This fully remote role offers a chance to shape the future of AI ethics from anywhere, contributing to our innovative projects supporting the region of Ruiru, Kiambu, KE . Join our pioneering team and drive ethical technological advancement.
As the Lead AI Ethicist, your responsibilities will include guiding the ethical design and deployment of AI products and services, conducting impact assessments, and advising development teams on potential ethical risks. You will research and stay abreast of evolving ethical guidelines, regulatory landscapes, and best practices in AI ethics. Developing educational materials and fostering a culture of ethical awareness throughout the organization will also be a key component of this role. This position demands a deep understanding of AI technologies, ethical theories, and their societal implications, coupled with exceptional communication and leadership skills.
We are looking for a candidate with a robust academic background and practical experience in applying ethical principles to AI and emerging technologies. Strong analytical and critical thinking skills are essential, as is the ability to engage with diverse stakeholders, including engineers, product managers, legal teams, and the public. The ideal candidate will be a thought leader in the field, capable of translating complex ethical concepts into actionable guidance. Excellent written and verbal communication skills are vital for articulating ethical principles and influencing decision-making in a remote setting.
Key Responsibilities :
- Develop and implement ethical guidelines, principles, and frameworks for AI development and deployment.
- Conduct ethical impact assessments for new AI technologies and products.
- Advise R&D and product teams on ethical considerations, bias mitigation, and fairness in AI.
- Stay current with research, industry best practices, and regulatory developments in AI ethics.
- Engage with internal and external stakeholders to foster dialogue and understanding around AI ethics.
- Develop training materials and conduct workshops on AI ethics for employees.
- Contribute to public discourse and policy discussions on responsible AI.
- Collaborate effectively with cross-functional teams in a remote environment.
Qualifications :
- Advanced degree (Ph.D. preferred) in Philosophy, Ethics, Computer Science, Law, or a related field with a focus on AI ethics.
- Minimum of 6 years of experience in AI ethics, technology ethics, or a related field, with a strong understanding of AI technologies.
- Proven experience in developing and implementing ethical frameworks or guidelines.
- Deep knowledge of ethical theories, AI safety, fairness, accountability, and transparency (FAccT).
- Excellent research, analytical, and problem-solving skills.
- Exceptional written and verbal communication and presentation skills.
- Demonstrated ability to influence and lead discussions on complex ethical issues.
- Experience working in a remote or distributed team environment.
This fully remote role offers a chance to shape the future of AI ethics from anywhere, contributing to our innovative projects supporting the region of Ruiru, Kiambu, KE . Join our pioneering team and drive ethical technological advancement.
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8
Remote Lead AI Ethics Researcher
Posted 21 days ago
Job Viewed
Job Description
Our client is at the forefront of developing cutting-edge AI solutions and is seeking a visionary Remote Lead AI Ethics Researcher to establish and guide their AI ethics framework. This is a fully remote position, enabling you to work from anywhere and contribute to shaping the responsible development of artificial intelligence. The ideal candidate will possess a deep understanding of AI technologies, ethical principles, and societal implications. You will be responsible for developing robust ethical guidelines, conducting research on potential biases and risks, and advising development teams on best practices to ensure AI systems are fair, transparent, and beneficial.
Key Responsibilities:
This role requires exceptional critical thinking, analytical, and communication skills. You must be capable of complex problem-solving and navigating nuanced ethical dilemmas. A strong academic background in computer science, philosophy, law, social sciences, or a related field, with a specialization in AI ethics, is required. Demonstrated experience in leading research initiatives and managing teams is essential. If you are passionate about ensuring AI is developed and used responsibly and ethically, and you thrive in a remote, collaborative environment, we encourage you to apply. The ability to influence and drive change across technical and non-technical teams is crucial.
Key Responsibilities:
- Develop and implement a comprehensive AI ethics framework, policies, and guidelines for the organization.
- Conduct in-depth research on emerging ethical challenges in AI, including bias, fairness, accountability, privacy, and transparency.
- Analyze AI models and algorithms for potential ethical risks and biases, proposing mitigation strategies.
- Collaborate with AI engineers, data scientists, product managers, and legal teams to integrate ethical considerations into the entire AI development lifecycle.
- Stay abreast of global AI ethics regulations, standards, and best practices, ensuring organizational compliance.
- Lead and mentor a team of AI ethics researchers and specialists.
- Develop and deliver training programs on AI ethics to internal teams.
- Publish research findings, contribute to academic discourse, and represent the organization at relevant conferences.
- Advise senior leadership on strategic ethical considerations related to AI development and deployment.
- Foster a culture of ethical awareness and responsibility throughout the organization.
This role requires exceptional critical thinking, analytical, and communication skills. You must be capable of complex problem-solving and navigating nuanced ethical dilemmas. A strong academic background in computer science, philosophy, law, social sciences, or a related field, with a specialization in AI ethics, is required. Demonstrated experience in leading research initiatives and managing teams is essential. If you are passionate about ensuring AI is developed and used responsibly and ethically, and you thrive in a remote, collaborative environment, we encourage you to apply. The ability to influence and drive change across technical and non-technical teams is crucial.
This advertiser has chosen not to accept applicants from your region.
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