Conduct in-depth research on AI models, technologies, and use cases across industries.
Analyze AI-related datasets and resources to generate actionable insights.
Stay updated on emerging advancements in machine learning, natural language processing, and related fields.
Documentation and Reporting:
Create and maintain detailed documentation for AI research findings, frameworks, and workflows.
Develop white papers, case studies, and reports to communicate technical concepts to both technical and non-technical stakeholders.
Ensure that documentation is clear, concise, and accessible to diverse audiences.
Project Support:
Collaborate with cross-functional teams to gather information and support AI-related initiatives.
Assist in developing project roadmaps, timelines, and deliverables for AI research and implementation projects.
Track and report on the progress of technology operations projects.
Knowledge Management:
Organize and maintain a centralized repository of AI research, documentation, and best practices.
Ensure proper version control and accessibility of resources for the team.
Create templates, guidelines, and SOPs for research and documentation processes.
Collaboration and Coordination:
Work closely with AI engineers, data scientists, and domain experts to gather inputs and validate documentation.
Support internal and external presentations, workshops, and discussions on AI topics.
Coordinate with stakeholders to ensure alignment on research priorities and deliverables.
Compliance and Ethics
Assist in ensuring that AI research and documentation adhere to ethical guidelines, data privacy laws, and organizational policies.
Support the integration of fairness, accountability, and transparency into AI projects.
REQUIREMENTS
Bachelor s degree in Computer Science, Information Technology, Data Science, or a related field.
Strong research skills with the ability to analyze and synthesize technical information.
Excellent written and verbal communication skills, with experience in creating technical documentation.
Advance level understanding of AI technologies, frameworks, and terminology (e.g., machine learning, deep learning, NLP).
Experience working with government agencies, research institutions, think tanks, or technology firms on policy development, regulatory analysis, or digital initiatives.
Excellent written and verbal communication skills, with the ability to convey complex technical issues to non-technical audiences
Collaborative mindset, with experience working in cross-functional teams
Strong problem-solving skills to navigate complex environments and work effectively under pressure.
High ethical standards and commitment to promoting responsible AI practices, including transparency, fairness, and accountability.