What Jobs are available for AI Consultants in Bahrain?

• Conduct independent, high-impact research in Artificial Intelligence and related areas.
• Publish research findings in leading academic journals and present at international conferences.
• Develop and deliver engaging lectures and course materials for undergraduate and graduate students in AI, machine learning, deep learning, and related subjects.
• Supervise student research projects, theses, and dissertations.
• Mentor and advise students on academic and career paths.
• Contribute to curriculum development and departmental initiatives.
• Seek external funding to support research activities.
• Collaborate with faculty across different departments on interdisciplinary projects.
• Participate in faculty governance and committee work.
• Promote the university's commitment to academic excellence and innovation.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• A strong record of scholarly publication in reputable journals and conferences.
• Demonstrated success in securing research grants and funding.
• Proven experience in teaching at the university level, with excellent pedagogical skills.
• Expertise in core AI concepts, including machine learning, deep learning, natural language processing, computer vision, or robotics.
• Ability to develop and teach a diverse range of AI courses.
• Excellent communication, presentation, and interpersonal skills.
• A commitment to fostering an inclusive and supportive learning environment.
• Experience in guiding student research is highly desirable.
• Postdoctoral research experience is a significant advantage.

• Lead and conduct cutting-edge research in AI/ML domains.
• Develop and implement novel algorithms and models.
• Design and execute experiments to validate research hypotheses.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with engineering teams to translate research into practical applications.
• Mentor and guide junior researchers and scientists.
• Stay abreast of the latest advancements and trends in AI research.
• Contribute to the strategic direction of the organization's AI initiatives.
• Present research findings and proposals to stakeholders and management.

• Ph.D. in Computer Science, AI, ML, Statistics, or a related quantitative field.
• 8+ years of post-doctoral research experience in AI/ML.
• Proven track record of significant research contributions (publications, patents).
• Deep expertise in areas such as deep learning, NLP, computer vision, etc.
• Strong programming skills in Python and deep learning frameworks.
• Experience with large-scale data and distributed computing is a plus.
• Excellent analytical, critical thinking, and communication skills.
• Ability to thrive in a hybrid work environment.

• Leading the design and execution of research projects on AI in education.
• Developing and testing AI models for personalized learning, intelligent tutoring systems, and educational analytics.
• Conducting rigorous empirical research, including qualitative and quantitative data analysis.
• Publishing research findings in leading academic journals and presenting at international conferences.
• Collaborating with cross-functional teams, including educators, software developers, and policymakers.
• Securing external funding through grant writing and proposals.
• Mentoring junior researchers and students.
• Contributing to the strategic direction of AI in education research initiatives.

• Ph.D. in Computer Science, Education Technology, Artificial Intelligence, or a related field.
• Minimum of 6 years of post-doctoral research experience in AI or educational technology.
• Demonstrated expertise in machine learning, natural language processing, or related AI fields.
• Experience with research methodologies relevant to education.
• Strong publication record in reputable venues.
• Proficiency in programming languages like Python.
• Excellent communication, collaboration, and project management skills.
• Experience working in a remote research environment.

• Develop and implement advanced AI algorithms for automotive applications.
• Design and train machine learning models for autonomous driving and ADAS.
• Perform data analysis, feature engineering, and model optimization.
• Collaborate with remote engineering teams on system integration.
• Conduct research on emerging AI technologies and trends.
• Evaluate and improve the performance of AI models.
• Document AI methodologies and results thoroughly.
• Contribute to the architecture of AI-powered automotive systems.
• Ensure ethical considerations and safety standards in AI development.
• Present findings and technical roadmaps to stakeholders.

• Extensive experience in AI/ML, specifically within the automotive domain.
• Expertise in deep learning frameworks (TensorFlow, PyTorch).
• Strong knowledge of computer vision and sensor fusion techniques.
• Proficiency in Python and related AI libraries.
• Experience with large-scale data processing and cloud platforms.
• Advanced degree (MS or PhD) in Computer Science, AI, or a related field.

About Us

At Inovaline, we are a multi-award-winning branding and marketing agency passionate about helping businesses grow. We combine strategy, design, and digital execution to build strong, impactful brands. As part of our next growth phase, we are integrating AI-driven solutions into our processes to enhance creativity, efficiency, and results. We're looking for an AI Specialist who can lead this transformation and become a key driver in shaping how AI supports branding, content, and social media marketing.

Job Summary

We are seeking a highly skilled AI Specialist to join our team. The role involves developing, implementing, and optimizing AI tools and workflows across our marketing, content creation, design, and social media management services. You will be responsible for researching the latest AI technologies, training our team, and ensuring measurable business impact from AI adoption.

Key Responsibilities

• Design and implement AI-driven workflows to improve efficiency in content creation, design, ads, and reporting.
• Research, test, and integrate AI tools (ChatGPT, MidJourney, Adobe Firefly, HubSpot AI, etc.) into our daily operations.
• Automate repetitive marketing tasks (e.g., reporting, scheduling, social listening, sentiment analysis).
• Collaborate with the strategy, design, and marketing teams to develop AI-enhanced creative solutions.
• Train and support team members on using AI tools effectively.
• Ensure AI-generated content aligns with brand strategy, tone of voice, and quality standards.
• Monitor AI performance, optimize processes, and provide insights on ROI.
• Stay up to date with AI trends, regulations, and best practices in digital marketing.

Requirements

• Bachelor's degree in Computer Science, Data Science, Marketing Technology, or related field (or equivalent experience).
• Proven experience working with AI tools for marketing, branding, or creative industries.
• Strong understanding of machine learning, natural language processing, and generative AI applications.
• Hands-on experience with prompt engineering and fine-tuning AI outputs.
• Knowledge of automation platforms, APIs, and data integration.
• Familiarity with marketing platforms (Meta Ads, Google Ads, HubSpot, Mailchimp, etc.) is a plus.
• Strong problem-solving skills and ability to translate business needs into AI solutions.
• Excellent communication and training skills to guide non-technical team members.

Preferred Skills

• Experience in digital marketing agencies or creative industries.
• Understanding of brand strategy and design principles.
• Familiarity with Python or R for AI automation (optional but a plus).
• Knowledge of data analytics and visualization tools.

How to Apply

If you're excited about shaping the future of marketing with AI, we'd love to hear from you.

Please apply with your CV, portfolio (if applicable), and a brief cover letter explaining how you've used AI to solve real marketing challenges.

Job Types: Full-time, Part-time, Temporary

• Develop and implement AI ethics policies and governance frameworks.
• Conduct ethical risk assessments for new AI products and features.
• Advise engineering and product teams on ethical considerations throughout the AI lifecycle.
• Stay abreast of global regulations, research, and best practices in AI ethics.
• Engage with external stakeholders, including policymakers and academic researchers.
• Develop training materials and conduct workshops on AI ethics.
• Promote a culture of ethical awareness and responsibility within the organization.
• Contribute to thought leadership through publications and presentations.