Senior Machine Learning Engineer

TBO.COM; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

TBO.COM in Gurugram, India is seeking a Senior Engineer, Data Science & Engineering with 5–8 years of experience in data engineering, data science, and AI. You will design scalable data platforms, build AI/ML solutions, and implement cloud-native architectures on AWS, collaborating with stakeholders and engineering teams to deliver data-driven solutions.

The role focuses on developing production-grade ML pipelines, data governance, and real-time data processing, leveraging Spark, Kafka, and

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.
• Hands-on experience with Spark ETL, Apache Kafka and Change Data Capture (CDC) pipelines.
• Strong understanding of supervised and unsupervised learning techniques, Classification, Regression, Clustering, Dimensionality Reduction Ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost)
• Probability and statistics, Hypothesis testing and confidence intervals, Experimental design and A/B testing
• 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.

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.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
• Leverage statistical methods, experimentation, and machine learning to analyze business data, validate hypotheses, and deliver predictive and prescriptive insights.

Skills

Python

SQL

Apache Spark

AWS

Kafka

CDC pipelines

Machine Learning

Generative AI

LLMs

Prompt engineering

LangChain

Education

Bachelors or Masters in CS/Engineering/Data Science

Tools

Git

Docker

CI/CD

Job description

TBO 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.

The TBO journey began in 2006 with a simple goal to address the evolving needs of travel buyers and suppliers, and what started off as a single product air ticketing company, has today become the leading B2A (Business to Agents) travel portal across the Americas, UK & Europe, Africa, Middle East, India, and Asia Pacific.

Today, TBOs product range from air, hotels, rail, holiday packages, car rentals, transfers, sightseeing, cruise, and cargo. Apart from these products, our proprietary platform relies heavily on AI/ML to offer unique listings and products, meeting specific requirements put forth by customers, thus increasing conversions.

TBOs approach has always been technology-first and we continue to invest on new innovations and new offerings to make travel easy and simple. TBOs travel APIs are serving large travel ecosystems across the world while the modular architecture of the platform enables new travel products while expanding across new geographies.

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.
• We are notching up our Gross Transaction Volume (GTV) in several billions and growing much faster than the industry growth rate; backed by a proven and well-established business model.
• We are reputed for our-long lasting trusted relationships. We stand by our eco system of suppliers and buyers to service the end customer.
• An open & informal start-up environment which cares.

What TBO offers to a Life Traveler in You:

• Chance to work with CXO Leaders. Our leadership come from top IITs and IIMs; or have led significant business journeys for top brands Indian and global brands.
• Enhance Your Leadership Acumen. Join the journey to create global scale and World Best.
• Challenge Yourself to do something path breaking. Be Empowered. The only thing to stop you will be your imagination.
• Travel space is likely to see significant growth. Witness and shape this space. It will be one exciting journey.
• Own a wide portfolio of our Platform Business, India. Primary focus will be on top talent attraction, retention, development, and engagement. Talent Acquisition, Business HR, HR Operations & Leaning will report in apart from relevant COE functions connected to these domains.

Job Description – Senior Engineer, Data Science & Engineering (5–8 Years)

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. You will work closely with business stakeholders and engineering teams to deliver data-driven solutions that power analytics and intelligent applications.

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.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
• 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.
• Hands-on experience with Spark ETL, Apache Kafka and Change Data Capture (CDC) pipelines.
• Strong understanding of supervised and unsupervised learning techniques, Classification, Regression, Clustering, Dimensionality Reduction Ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost)
• Probability and statistics, Hypothesis testing and confidence intervals, Experimental design and A/B testing
• 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.