AI Lead

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:

AI Solution Development: 

• Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI & optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.

Data Analysis and Interpretation: 

• Analyze large datasets to derive actionable insights and make data-driven decisions.

Model Training and Optimization: 

• Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.

Collaborative Problem-Solving: 

• Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.

Strategic AI Implementation: 

• Architect and scale AI solutions across the organization, ensuring alignment with business objectives.

Leadership and Team Development: 

• Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.

Requirements:

Educational Background: 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.

Technical Proficiency: 

• Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.

Experience: 

• At least 8-10 years of relevant experience in developing and implementing AI solutions.

Analytical Skills: 

• Proficient in using advanced data analytics tools and techniques to interpret complex datasets.

Problem-Solving Abilities: 

• Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.
•  Advanced Degree: Master's degree in a relevant field.
• Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.
• Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.
• Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.
• LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.
• Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery
• Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."