
Innovative Machine Learning Expert Wanted
2 weeks ago
We are seeking an Innovative Machine Learning Expert to bridge the gap between data engineering and applied machine learning. Our customer engagement platform is evolving into an AI-native platform, requiring a highly skilled professional to drive this transformation.
- Develop and train predictive models using Python (scikit-learn, LightGBM, XGBoost) for churn prediction, upsell propensity, and lead scoring.
- Design and build pipelines to transform raw events into usable features, defining labels from historical events.
- Collaborate with backend engineers to integrate model outputs into our workflows.
- Evaluate and improve data quality, reproducibility, and compliance (HIPAA for healthcare customers).
- 3–5+ years of experience in data engineering or applied ML.
- Strong proficiency in Python, SQL, and one or more ML libraries.
- Experience with data pipelines (Airflow, dbt, or custom ETL).
- Understanding of ML lifecycle: training, serving, monitoring, retraining.
- Ability to design time-based labels.
- MLOps tools (MLflow, BentoML, Ray Serve).
- Experience with bandit algorithms, A/B testing, or uplift modeling.
- Possibility to work in a startup environment.
- We are a customer engagement platform evolving into an AI-native platform.
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