ixigo
Travel Technology
SeniorResearchEngineer-AppliedAI/ML
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Research Engineer - Applied AI/ML at ixigo. Skills: Applied AI/ML, Data Science, Data Engineering, ML Model Development, Data Pipelines. Designing and building AI-driven features that power search, personalization, pricing, recommendations, and fraud detection. Developing robust data pipelines and scalable infrastructure to ensure reliable ML model training and deployment”
Industry & Context.
Ability to translate ambiguous problems into structured models and scalable solutions
Candidates are responsible for safeguarding sensitive company data against unauthorized access, use, or disclosure, and for reporting any suspected security incidents in line with the organization's ISMS (Information Security Management System) policies and procedures.
What They're Looking For.
Must Have
Background in Computer Science, Engineering, or Mathematics, 2–6 years of experience in data science & engineering, fundamentals in algorithms, data structures, ML/DL, and statistics, Proficiency in Python, Hands-on experience with SQL and data pipelines, Ability to translate ambiguous problems into structured models and scalable solutions
Nice to Have
top institutes preferred, Experience with cloud platforms (AWS, GCP, Azure), ML deployment tools (SageMaker, MLflow, Kubeflow), Knowledge of big data technologies (Spark, Hadoop, Presto, ClickHouse), Experience with travel, mobility, or marketplace problems, Contributions to open-source ML or published research
What You'll Do.
Designing and building AI-driven features that power search
Developing robust data pipelines and scalable infrastructure to ensure reliable ML model training and deployment
Generating statistical and business insights from large-scale bus travel data to shape product strategy
Design and implement ML models for personalization
and optimize ETL/data pipelines to feed ML models and analytics dashboards
Perform statistical analysis
and causal inference for product & growth experiments
Read and adapt academic research papers into practical product applications
Ensure model lifecycle management: data collection
Collaborate with data engineering team on data architecture
and scaling pipelines
How You'll Work.
Team & Collaboration
Work with product managers & engineers to translate business requirements →models → production systems; Collaborate with data engineering team on data architecture, warehousing, and scaling pipelines
Full Job Description
Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo is a technology company focused on empowering Indian travelers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travelers in making smarter travel decisions by leveraging artificial intelligence, machine learning and data science-led innovations on ixigo’s OTA platforms, including websites and mobile applications. AbhiBus, part of the Ixigo group, is India’s leading online bus ticketing platform. Founded in 2007, Abhibus connects millions of travellers with 5000+ private operators, 18+ State Transport Corporations. Alongside our consumer platform, we power the bus industry with SaaS solutions across e-ticketing, fleet management, vehicle tracking, and passenger information systems. Ixigo group overall serves 80+ million travellers across flights, trains, buses, hotels & holidays. Our mission is simple: to simplify the lives of travellers through intelligent, AI- driven travel products. We are looking for a Data Science Engineer / Senior Research Engineer to join our applied AI team at Abhibus. This is a hybrid role at the intersection of AI/ML, classical data science, and data engineering. You’ll be responsible for: * Designing and building AI-driven features that power search, personalization, pricing, recommendations, and fraud detection. * Developing robust data pipelines and scalable infrastructure to ensure reliable ML model training and deployment. * Generating statistical and business insights from large-scale bus travel data to shape product strategy. * Your work will touch millions of travellers and hundreds of bus operators, bringing data- driven innovation to the mobility ecosystem Key Responsibilities: * Design and implement ML models for personalization, demand forecasting, route optimization, pricing, anomaly detection, and recommendations. * Build, maintain, and optimize ETL/data pipelines to feed ML models and analytics dashboards. * Work with product manage
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