Data/ml engineer

21 hours ago


Delhi, India Gleantap Full time

About GleantapGleantap is a customer engagement platform powering fitness, wellness, and service businesses. We’re evolving into anAI-native platform , where intelligent agents predict churn, upsell opportunities, and automate member engagement.We’re looking for aData/ML Engineerwho can bridge the gap betweendata engineering and applied machine learning , building pipelines, training models, and deploying them into production at scale.ResponsibilitiesDesign and builddata pipelinesto transform raw events (visits, purchases, campaigns) into usable features.Define and computelabels(e.g., churn, upsell, lead quality) from historical events.Develop and trainML models(e.g., churn prediction, upsell propensity, lead scoring) using Python (scikit-learn, Light GBM, XGBoost).Buildreal-time inference servicesto serve predictions into production systems.Set up retraining and monitoring pipelines (Airflow, MLflow, or similar).Collaborate with backend engineers to integrate model outputs into Gleantap workflows.Ensure data quality, reproducibility, and compliance (HIPAA for healthcare customers).Requirements3–5+ years of experience in data engineering or applied ML.Strong proficiency inPython , SQL, and one or more ML libraries (scikit-learn, Light GBM, XGBoost, Py Torch).Experience withdata pipelines(Airflow, dbt, or custom ETL).Comfortable withevent-driven systems(Kafka, Redis, Click House or similar OLAP).Understanding of ML lifecycle: training, serving, monitoring, retraining.Ability to designtime-based labels(avoiding data leakage).Strong problem-solving skills and eagerness to work in a startup environment.Nice-to-HavesMLOps tools (MLflow, Bento ML, Ray Serve).Experience withbandit algorithms, A/B testing, or uplift modeling.Prior work with customer engagement, CRM, or subscription businesses.


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