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Company Overview: This airline is a prominent full-service carrier renowned for its premium travel experiences. They offer a wide range of cabin classes, including Suites, Business Class, Premium Economy, and Economy. Their in-flight service is legendary, with award-winning cuisine, extensive entertainment options, and comfortable cabins.
We are seeking talented and passionate Data Scientists to join our growing team. In this role, you will be a key member of our AI/Data Science division, contributing to cutting-edge projects and driving impactful business outcomes.
Information Technology – Data Scientist (Data Science Track)
Key Responsibilities:
Develop and implement innovative AI/ML solutions, including generative AI, autonomous agents, NLP, computer vision, and recommender systems.
Collaborate closely with business stakeholders to understand their needs and translate them into actionable data science solutions.
Design and build scalable machine learning and deep learning models.
Deploy and maintain AI/ML models as API microservices for seamless integration into applications.
Oversee the work of external technology partners, providing guidance and support.
Evaluate and validate partner-supplied prediction models for production deployment.
Work with application development teams to integrate AI/ML capabilities into software.
Stay abreast of the latest advancements in AI/ML and explore new technologies.
Requirements:
Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, or a related field.
Master’s or Ph.D. in Machine Learning, AI, or a relevant field is preferred.
Strong programming skills in Python.
Proficiency in algorithm design/analysis, data structures, and SQL.
Familiarity with functional/object-oriented programming languages (e.g., Scala, TypeScript/JavaScript, Java, C#).
Experience with big data processing frameworks like Spark and Kafka.
Hands-on experience with shallow and deep learning techniques (strong understanding of concepts covered in “An Introduction to Statistical Learning – with Applications in Python” by Gareth James is essential).
Experience with GPU-accelerated deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with Bayesian statistics/inference and Bayesian/causal networks.
Experience with cloud platforms like AWS, Azure, or GCP.
Excellent communication and interpersonal skills.
Experience with Agile/Scrum/Kanban methodologies is a plus.
Exposure to LLMs, prompt engineering (OpenAI ChatGPT, Bing Chat), and LLM application/data frameworks (LlamaIndex, LangChain) is a plus.
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