50 AI Specialists jobs in Nairobi
AI Ethics Specialist
Posted 3 days ago
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The AI Ethics Specialist will be responsible for developing, implementing, and overseeing AI ethics frameworks, policies, and guidelines. This includes conducting ethical risk assessments for new AI projects, advising development teams on bias mitigation and fairness in algorithms, and staying abreast of evolving global AI regulations and best practices. You will collaborate with legal, engineering, product, and policy teams to integrate ethical considerations throughout the AI lifecycle. Strong analytical skills, a deep understanding of AI technologies, and a passion for ethical innovation are essential. This position offers a unique opportunity to influence the trajectory of AI responsibly.
Key Responsibilities:
- Develop and maintain comprehensive AI ethics policies, frameworks, and best practices.
- Conduct ethical impact assessments for AI systems and projects, identifying potential risks and proposing mitigation strategies.
- Advise engineering and product teams on fairness, accountability, transparency, and privacy in AI design and development.
- Monitor and analyze emerging AI ethical issues, regulatory landscapes, and industry standards.
- Collaborate with cross-functional teams (legal, engineering, policy, product) to embed ethical considerations into AI development processes.
- Develop and deliver training programs on AI ethics to internal stakeholders.
- Engage with external stakeholders, including academics, policymakers, and civil society organizations, on AI ethics matters.
- Contribute to the company's thought leadership on responsible AI.
Qualifications:
- Master's or PhD degree in a relevant field such as Ethics, Philosophy, Law, Computer Science, Data Science, or Public Policy, with a specialization in AI or technology ethics.
- 3-5 years of experience in AI ethics, technology policy, or a related field.
- Demonstrated understanding of AI/ML concepts and their ethical implications.
- Knowledge of relevant legal and regulatory frameworks concerning AI and data privacy (e.g., GDPR, AI Act).
- Excellent analytical, research, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to articulate complex ethical and technical concepts clearly to diverse audiences.
- Experience in policy development and stakeholder engagement.
- Ability to work effectively in a hybrid work environment, balancing remote and in-office collaboration.
This is a hybrid role, requiring a blend of remote flexibility and in-office collaboration. The target location for this role is Malindi, Kilifi, KE . We are looking for individuals who are passionate about shaping a future where AI benefits society ethically and responsibly.
Senior AI Ethicist
Posted 4 days ago
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AI Research Scientist - Machine Learning
Posted 7 days ago
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Responsibilities:
- Conduct research and development in machine learning and AI.
- Develop and implement advanced ML algorithms and models.
- Analyze large datasets and identify patterns and insights.
- Collaborate with engineers to deploy AI solutions.
- Stay current with AI research trends and methodologies.
- Publish research findings and contribute to intellectual property.
- Ph.D. or Master's degree in Computer Science, AI, ML, or related field.
- Proven experience in machine learning research and development.
- Expertise in deep learning, NLP, or computer vision.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Strong mathematical and statistical background.
- Excellent research, analytical, and communication skills.
Lead AI Ethics Specialist
Posted 3 days ago
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Job Description
Responsibilities:
- Develop and implement AI ethics policies, guidelines, and best practices.
- Conduct ethical risk assessments for AI models and systems, identifying potential biases and unintended consequences.
- Advise cross-functional teams (product, engineering, legal) on ethical AI development and deployment.
- Design and facilitate workshops and training sessions on AI ethics for various stakeholders.
- Monitor regulatory developments and industry standards related to AI ethics and compliance.
- Collaborate with research teams to stay at the forefront of AI ethics advancements.
- Develop frameworks for evaluating the fairness, accountability, and transparency of AI systems.
- Investigate and address ethical concerns raised by internal teams or external parties.
- Contribute to public discourse and thought leadership on AI ethics.
- Prepare reports and documentation detailing ethical reviews and recommendations.
- Foster a culture of ethical awareness and responsibility within the organization.
- Advanced degree in Philosophy, Ethics, Computer Science, Law, or a related field with a specialization in AI ethics.
- Minimum of 6 years of experience in AI ethics, responsible AI, or a similar field.
- Strong understanding of AI/ML concepts, algorithms, and their societal implications.
- Familiarity with ethical frameworks, principles of justice, and relevant legislation.
- Excellent analytical, research, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to engage diverse audiences.
- Experience in developing and implementing ethical policies or governance frameworks.
- Ability to work collaboratively in a hybrid environment, balancing remote and in-office work.
- Experience with AI governance tools and methodologies is a plus.
- Passion for promoting ethical and responsible technology.
Senior AI/ML Engineer
Posted today
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Responsibilities:
- Design, develop, and implement AI/ML models and algorithms.
- Collect, clean, and preprocess large datasets for model training.
- Perform feature engineering and selection.
- Train, evaluate, and fine-tune ML models.
- Deploy ML models into production environments.
- Monitor and maintain deployed ML systems.
- Collaborate with cross-functional teams to define AI/ML project requirements.
- Stay current with the latest advancements in AI/ML research and technologies.
- Contribute to the architectural design of AI/ML systems.
- Ensure ethical considerations and data privacy are integrated into AI development.
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML engineering.
- Proven experience in developing and deploying ML models in production.
- Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
- Solid understanding of statistical modeling, machine learning algorithms, and deep learning.
- Experience with data pipelines, cloud platforms (AWS, Azure, GCP), and MLOps.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote setting.
Senior AI Research Scientist
Posted 1 day ago
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Responsibilities:
- Conduct advanced research in AI, machine learning, and related fields to identify and solve complex problems.
- Design, implement, and evaluate novel AI algorithms and models.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Develop and maintain high-quality code for research prototypes and experiments.
- Present research progress and results to stakeholders at various levels.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and development in AI/ML, demonstrated through publications or patents.
- Strong expertise in at least one of the following areas: deep learning, reinforcement learning, natural language processing, computer vision, or robotics.
- Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or JAX.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to effectively convey complex technical concepts.
- Demonstrated ability to work independently and as part of a remote team.
- Experience with large-scale data processing and distributed systems is a plus.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) is desirable.
Senior AI Solutions Architect
Posted 2 days ago
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Responsibilities:
- Designing end-to-end AI/ML solutions, from conceptualization to deployment, considering scalability, security, and performance.
- Evaluating and recommending AI/ML tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, scikit-learn, cloud AI services).
- Collaborating with data scientists, engineers, and product managers to translate business requirements into technical AI solutions.
- Developing and implementing proof-of-concepts and prototypes for new AI functionalities.
- Architecting robust data pipelines for training and deploying AI models.
- Ensuring the integration of AI solutions with existing enterprise systems and infrastructure.
- Providing technical leadership and guidance to development teams.
- Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
- Contributing to the company's AI strategy and roadmap.
- Identifying opportunities to leverage AI/ML to solve business problems and create new value.
- Documenting architectural designs, technical specifications, and best practices.
- Mentoring junior members of the AI/ML team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in software development, with at least 4 years focused specifically on AI/ML solutions architecture and development.
- Proven experience designing and deploying complex AI/ML models in production environments.
- Strong understanding of various machine learning algorithms, deep learning architectures, and natural language processing (NLP) techniques.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Excellent understanding of MLOps principles and practices.
- Strong problem-solving, analytical, and critical-thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Proven ability to lead technical initiatives and work effectively in a remote, collaborative team environment.
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Lead AI Research Scientist
Posted 4 days ago
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Lead AI Solutions Architect
Posted 5 days ago
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- Design and architect scalable and high-performance AI solutions.
- Lead the development and implementation of AI/ML models and systems.
- Evaluate and select appropriate AI technologies and platforms.
- Collaborate with business stakeholders to understand requirements and define AI strategies.
- Mentor and guide junior AI engineers and architects.
- Oversee the deployment and operationalization of AI solutions.
- Ensure the ethical and responsible use of AI technologies.
- Stay abreast of the latest advancements in AI and machine learning.
- Develop proof-of-concepts for new AI applications.
- Contribute to the company's AI roadmap and best practices.
Senior AI Ethics Researcher
Posted 5 days ago
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