Product Specialist

Our client is committed to diversity and believes that all employees should feel a sense of belonging within the organization. As a fundamental principle, each individual has the duty to contribute to and sustain an inclusive environment. The organization also believes that laws, regulations, and business practices should uphold the principles of diversity, inclusion, and equality. While laws may vary in the countries where they operate, the company remains dedicated to maintaining an inclusive and diverse workplace—where individuals can be themselves and excel both professionally and personally.

Responsibilities:

• Work with design and engineering teams to review product designs, suggest improvements, and oversee development
• Engage with users to understand their needs and expectations, and help them determine which product is right for them
• Monitor the product lifecycle
• Represent the organization at symposia and congresses.
• Develop business plans and product positioning in the marketplace

Requirements:

• Advanced Degree: Master's degree in computer science, Artificial Intelligence, or a relevant field.
• Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
• Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.
• Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.
• Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.
• Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.
• Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries
• Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.
• Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.
• LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.
• Leadership Experience: Proven ability to lead and influence teams in AI product development projects.
• Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.