14 Bridge Global Jobs

Key Responsibilities

Research, Training and Development

• Stay at the forefront of AI research by exploring and applying the latest techniques in deep learning, computer vision, and NLP.
• Design and deliver AI-focused training programs, workshops, and courses for employees at all levels.
• Develop learning paths to enhance AI literacy and skills tailored to different roles.
• Provide hands-on coaching for teams adopting AI tools and technologies in their workflows.

AI Mentorship:

• Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation.
• Guide employees in understanding and implementing AI solutions for real-world challenges.
• Offer personalized feedback and support to foster continuous improvement.

Collaboration and Support:

• Ability to identify AI Generative AI opportunities and use cases
• Work closely with department heads to identify AI skill gaps and align training initiatives with organizational goals.
• Collaborate with technical teams to provide insights into AI adoption and best practices.

Content Creation:

• Develop and curate engaging, interactive learning materials, including e-learning modules, case studies, and AI application guides.
• Create knowledge repositories and documentation for self-paced learning.

Performance Monitoring:

• Assess the effectiveness of AI training programs and refine them based on feedback and outcomes.
• Track employee progress and provide actionable recommendations for improvement.

AI Advocacy:

• Act as a champion for AI adoption within the organization, fostering a culture of innovation.
• Stay updated on AI trends, tools, and technologies, and share relevant knowledge with employees.

Qualifications

Required:

• Bachelors degree in Computer Science, Artificial Intelligence, Data Science, or a related field or equivalent experience
• 5+ years of experience working in AI, machine learning, or related technologies.
• Proven track record of delivering training programs or coaching in a corporate environment.
• Strong understanding of LLMs, AI tools, frameworks (e.g., TensorFlow, PyTorch), and applications.
• Excellent communication, presentation, and interpersonal skills.

Preferred:

• Masters degree in a related field.
• Experience with e-learning platforms and instructional design.
• Knowledge of AI ethics, responsible AI practices, and emerging AI trends.
• Certification in AI or machine learning (e.g., Google AI, AWS AI, or equivalent).