<p><p><b>The Role :</b></p><p><br/></p><p>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 :</p><p><br/></p><p>- Designing and building AI-driven features that power search, personalization, pricing, recommendations, and fraud detection.</p><p><br/></p><p>- Developing robust data pipelines and scalable infrastructure to ensure reliable ML model training and deployment.<br/><br/></p><p>- Generating statistical and business insights from large-scale bus travel data to shape product strategy.<br/><br/></p><p>Your work will touch millions of travellers and hundreds of bus operators, bringing data-driven innovation to the mobility ecosystem.</p><p><br/></p><p><b>Key Responsibilities :</b></p><p><p><br/></p>- Design and implement ML models for personalization, demand forecasting, route optimization, pricing, anomaly detection, and recommendations.<br/><br/></p><p>- Build, maintain, and optimize ETL/data pipelines to feed ML models and analytics dashboards.<br/><br/></p><p>- Work with product managers & engineers to translate business requirements models production systems.<br/><br/></p><p>- Perform statistical analysis, A/B testing, and causal inference for product & growth </p><p>experiments.<br/><br/></p><p>- Read and adapt academic research papers into practical product applications.<br/><br/></p><p>- Ensure model lifecycle management: data collection, feature engineering, training, </p><p>deployment, monitoring, and retraining.<br/><br/></p><p>- Collaborate with data engineering team on data architecture, warehousing, and scaling Were Looking For : </b></p><p><br/></p><p>- Background in Computer Science, Engineering, or Mathematics (top institutes preferred).</p><p><br/></p><p>- 2 - 6 years of experience in data science & engineering.</p><p><br/>- Strong fundamentals in algorithms, data structures, ML/DL, and statistics.<br/><br/></p><p>- Proficiency in Python and libraries like TensorFlow/PyTorch, Scikit-learn, Pandas, NumPy, SciPy.<br/><br/></p><p>- Hands-on experience with SQL and data pipelines (Airflow, Spark, Kafka, dbt, or equivalent).<br/><br/></p><p>- Ability to translate ambiguous problems into structured models and scalable :</b></p><p><p><b><br/></b></p>- Experience with cloud platforms (AWS, GCP, Azure) and ML deployment tools (SageMaker, MLflow, Kubeflow).<br/><br/></p><p>- Knowledge of big data technologies (Spark, Hadoop, Presto, ClickHouse).<br/><br/></p><p>- Experience with travel, mobility, or marketplace problems.<br/><br/></p><p>- Contributions to open-source ML or published research.</p><p><br/></p><br/></p> (ref:hirist.tech)