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ixigo - Senior Research Engineer - Artificial Intelligence / Machine Learning

ixigo - Senior Research Engineer - Artificial Intelligence / Machine Learning

IxigoGurgaon
25 days ago
Job description

The Role :

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. Youll 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 managers & engineers to translate business requirements models production systems.
  • Perform statistical analysis, A / B testing, and causal inference for product & growth

    • experiments.

  • Read and adapt academic research papers into practical product applications.
  • Ensure model lifecycle management : data collection, feature engineering, training,

    • deployment, monitoring, and retraining.

  • Collaborate with data engineering team on data architecture, warehousing, and scaling Were Looking For :
  • Background in Computer Science, Engineering, or Mathematics (top institutes preferred).
  • 2 - 6 years of experience in data science & engineering.
  • Strong fundamentals in algorithms, data structures, ML / DL, and statistics.
  • Proficiency in Python and libraries like TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy, SciPy.
  • Hands-on experience with SQL and data pipelines (Airflow, Spark, Kafka, dbt, or equivalent).
  • Ability to translate ambiguous problems into structured models and scalable :
  • Experience with cloud platforms (AWS, GCP, Azure) and 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.

    • (ref : hirist.tech)

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