Data Scientist
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Key skills for this role
About the Role
CareCone Group is seeking a Data Scientist (AI/ML) with 5+ years experience for an airline domain role in Dubai. The role involves building and deploying ML/AI models for pricing, demand forecasting, and customer analytics.
Key Skills for This Role
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
Requirements
- 5+ years of experience in Data Science/AI/ML
- 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
Full Job Posting
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).
- 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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