968 AI Consultant jobs in Bahrain
AI Ethics Consultant
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Key Responsibilities:
- Develop and implement AI ethics frameworks and guidelines for clients.
- Conduct ethical risk assessments for AI systems and algorithms.
- Advise on bias mitigation strategies in AI development.
- Provide guidance on data privacy and governance in AI applications.
- Evaluate the societal impact of AI technologies.
- Stay abreast of emerging trends and best practices in AI ethics and regulation.
- Collaborate with AI researchers, engineers, and product managers to embed ethical principles.
- Develop training materials and conduct workshops on AI ethics for stakeholders.
- Communicate complex ethical issues and recommendations clearly to diverse audiences.
- Contribute to thought leadership in the field of AI ethics.
Qualifications:
- Advanced degree in Computer Science, Philosophy, Law, Public Policy, or a related field with a specialization in AI ethics or technology.
- Proven experience in AI ethics, responsible AI, or technology policy.
- Deep understanding of machine learning concepts and their ethical implications.
- Familiarity with relevant legal and regulatory frameworks (e.g., GDPR, AI Act proposals).
- Excellent analytical, research, and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to influence and advise stakeholders at various levels.
- Experience in consulting or a client-facing role is beneficial.
- Strong commitment to promoting ethical technology development.
Senior AI Ethics Consultant
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Senior AI Ethics Consultant
Posted today
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Job Description
Senior AI Ethics Consultant
Posted today
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Job Description
Key Responsibilities:
- Advise organizations on ethical considerations in AI development and deployment.
- Conduct AI ethics risk assessments and impact analyses.
- Develop and implement AI ethics frameworks, policies, and guidelines.
- Provide training and workshops on responsible AI practices.
- Identify and address potential biases in AI algorithms and data.
- Promote transparency, fairness, and accountability in AI systems.
- Stay updated on AI ethics research, regulations, and best practices.
- Collaborate with AI researchers, engineers, and legal teams.
- Develop strategies for mitigating ethical risks associated with AI.
- Communicate complex ethical concepts to technical and non-technical audiences.
- Contribute to the development of AI governance structures.
- Ensure AI systems align with ethical principles and societal values.
- Assist in the creation of ethical AI product roadmaps.
- Conduct ethical reviews of AI projects and initiatives.
- Foster a culture of responsible AI innovation within organizations.
Principal AI Ethics Consultant
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Senior AI Ethics Consultant
Posted today
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Job Description
Key responsibilities include:
- Developing and implementing AI ethics frameworks, policies, and guidelines for clients.
- Conducting ethical risk assessments for AI systems and providing mitigation strategies.
- Advising clients on data privacy, bias detection and mitigation, and algorithmic fairness.
- Staying current with evolving AI regulations, standards, and best practices globally.
- Collaborating with data scientists, engineers, and legal teams to integrate ethical considerations into the AI development lifecycle.
- Providing training and workshops on AI ethics to client teams.
- Contributing to thought leadership in the field of AI ethics through publications and presentations.
- Ensuring AI solutions are compliant with relevant legal and ethical standards.
- Facilitating stakeholder engagement to address concerns and build trust in AI applications.
- Assisting clients in developing responsible AI governance structures.
AI Solutions Architect - Machine Learning
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AI Solutions Architect - Machine Learning
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The ideal candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, or possess equivalent extensive practical experience. A minimum of 8 years of experience in AI/ML development and deployment, with at least 3 years in a solutions architecture or technical lead role, is required. Proven expertise in building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn is essential. Strong knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services is highly preferred. Excellent communication, presentation, and client-facing skills are crucial for success in this remote role, as you will be liaising with clients and internal teams regularly. Experience with data engineering, MLOps, and natural language processing (NLP) or computer vision is a significant plus. If you are a forward-thinking AI expert passionate about designing transformative solutions and driving innovation in a fully remote setting, we invite you to apply.
AI Solutions Architect - Machine Learning
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Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions.
- Translate business requirements into technical AI/ML specifications.
- Select appropriate ML algorithms, tools, and frameworks for various applications.
- Oversee the development, training, and deployment of ML models.
- Collaborate with data engineers and software developers to integrate AI solutions.
- Conduct model evaluation, performance tuning, and optimization.
- Develop and implement MLOps strategies for robust model management.
- Stay current with the latest advancements in AI, ML, and related technologies.
- Present AI solution designs and recommendations to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Minimum of 6 years of experience in AI/ML development and solutions architecture.
- Proven experience in designing and deploying ML models in production environments.
- Deep understanding of machine learning algorithms, statistical modeling, and data science principles.
- Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, Scikit-learn.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Familiarity with MLOps, data pipelines, and big data technologies.
- Strong analytical, problem-solving, and communication skills.
AI Solutions Architect - Machine Learning
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