Responsibilities and Duties:

• Design, develop, test, and maintain software applications using .NET technologies, including C#, .NET Core, ASP.NET and SQL Server.
• Write clean, efficient, and maintainable code following best practices and coding standards.
• Participate in the full software development life cycle, including requirements analysis, design, implementation, testing, deployment, and maintenance.
• Troubleshoot and debug software issues to ensure smooth system performance and user satisfaction.
• Collaborate with team members to review code, provide constructive feedback, and ensure code quality through code reviews.
• Stay updated with the latest industry trends, technologies, and best practices related to .NET development.

Responsibilities and Duties:

• Develop and execute a strategic AI roadmap aligned with business goals and industry trends.
• Identify high-impact areas where AI can enhance operations, customer satisfaction, and revenue.
• Advocate for AI adoption within the organization and promote a culture of data-driven decision-making.
• Collaborate with stakeholders to understand business challenges and define AI use cases.
• Design, develop, and deploy AI solutions, including machine learning models, natural language processing tools, and predictive analytics.
• Ensure AI systems are scalable, reliable, and ethically implemented.
• Partner with business leaders, IT teams, and external vendors to align AI initiatives with operational needs.
• Facilitate workshops and training sessions to educate teams about AI capabilities and applications.
• Build strong relationships with academic and industry partners to stay updated on AI advancements.
• Develop and implement data strategies to support AI initiatives, including data collection, cleansing, and governance.
• Ensure compliance with data privacy and security standards in all AI projects.
• Establish metrics to evaluate the performance and ROI of AI solutions.
• Continuously monitor AI systems and refine models to improve accuracy and effectiveness.
• Identify and address potential risks or biases in AI implementations.
• Stay updated with emerging AI technologies and trends relevant to the aviation industry.
• Represent the organization at AI forums, conferences, and industry events.
• Explore innovative applications of AI to maintain a competitive edge.

Requirements and Qualifications:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Advanced degrees or certifications in AI, machine learning, or data analytics.
• 3-5 years of experience in AI, machine learning or data science roles.
• Proven track record of implementing AI solutions in complex environments, preferably within the airline or travel industry.
• Understanding aviation business dynamics.
• Strong knowledge of AI technologies, frameworks, and tools.
• Expertise in data analysis, modeling, and visualization
• Ability to translate complex technical concepts into actionable business strategies.
• Proficiency in documenting business requirements and translating them into technical specifications.
• Project Management