Data Scientist
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Key skills for this role
About the Role
Data Scientist (AI/ML) – Airline Domain Role: Data Scientist (AI/ML) Experience: 5+ Years Domain: Airline/Aviation (Preferred) Key Responsibilities Build and deploy Machine Learning and AI models for airline business use cases (pricing, demand forecasting, customer analytics, operations).
Key Skills for This Role
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Key Responsibilities
- Build and deploy Machine Learning and AI models for airline business use cases (pricing, demand forecasting, customer analytics, operations).
- Develop AI solutions using NLP, Generative AI, LLMs, and chatbots.
- Analyze large structured and unstructured datasets to generate business insights.
- Work with business, product, and engineering teams to deliver data-driven solutions.
- Deploy scalable applications on cloud platforms (AWS, GCP, or Azure).
- Monitor and improve model performance and accuracy.
Required Skills
- Strong experience in Machine Learning, Deep Learning, and AI.
- Hands-on experience with NLP, LLMs, Generative AI (RAG, chatbots).
- Proficiency in Python, SQL, and PySpark.
- Experience with AWS, GCP, or Azure.
- Knowledge of FastAPI, Flask, and Docker.
- Airline/Travel domain experience is highly preferred.
- Strong analytical and problem-solving skills.
Preferred Skills
- Experience with real-time data processing and AI automation.
- Knowledge of LangChain, Snowflake, or similar platforms.
- Experience working with global or cross-functional teams.
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