Job Description :

TBO (www.tbo.com) is a global platform that aims to simplify all buying and selling travel needs of travel partners across the world. The proprietary technology platform aims to simplify the demands of the complex world of global travel by seamlessly connecting the highly distributed travel buyers and travel suppliers at scale.

Why TBO :

- You will influence & contribute to Building World Largest Technology Led Travel Distribution Network for a $ 9 Trillion global travel business market.

- We are the emerging leaders in technology led end-to-end travel management, in the B2B space.

- Physical Presence in 47 countries with business in 110 countries.

- An open & informal start-up environment which cares.

Role Overview :

We are looking for a highly skilled Senior Engineer, Data Science & Engineering with 5-8 years of experience in Data Engineering, Data Science, and Artificial Intelligence. The ideal candidate will have strong expertise in designing scalable data platforms, building AI/ML solutions, and implementing cloud-native architectures on AWS.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using modern data engineering frameworks.

- Build and optimize ETL/ELT workflows for batch and real-time data processing.

- Build AI/ML and Generative AI applications using modern LLM frameworks.

- Develop production-grade machine learning pipelines for model training, deployment, and monitoring.

- Design and implement data models for reporting, analytics, and AI workloads.

- Implement data quality, governance, observability, and monitoring frameworks.

- Integrate data from multiple internal and external sources using APIs, Kafka, and CDC pipelines.

- Leverage statistical methods, experimentation, and machine learning to analyze business data, validate hypotheses, and deliver predictive and prescriptive insights.

Required Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

- 5-8 years of experience in Data Engineering, Data Science & AI.

- Strong programming skills in Python and SQL.

- Hands-on experience with Apache Spark and distributed data processing.

- Strong experience with AWS services such as S3, Glue, EMR, Lambda, Athena, Redshift, IAM, CloudWatch, Step Functions, ECS/EKS, and DynamoDB.

- Experience with Generative AI, LLMs, prompt engineering, RAG architectures, vector databases, and AI orchestration frameworks such as LangChain or LlamaIndex.

- Strong analytical, problem-solving, and communication skills.

- Experience with Git, Docker, and CI/CD pipelines.