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Data Engineering and Machine Learning Specialist
2 weeks ago
We are transforming into an AI-native platform, where intelligent agents predict churn, upsell opportunities, and automate member engagement.
This is a fantastic chance to leverage your expertise in data engineering and machine learning to drive business outcomes.
Key Responsibilities:- Design and develop data pipelines to transform raw events into usable features.
- Define and compute labels from historical events.
- Develop and train machine learning models using Python.
- Build real-time inference services to serve predictions into production systems.
- Set up retraining and monitoring pipelines.
- Collaborate with engineers to integrate model outputs into workflows.
- Ensure data quality, reproducibility, and compliance.
- 3–5+ years of experience in data engineering or applied machine learning.
- Strong proficiency in Python, SQL, and one or more machine learning libraries.
- Experience with data pipelines.
- Comfortable with event-driven systems.
- Understanding of the machine learning lifecycle.
- Ability to design time-based labels.
- Strong problem-solving skills.
Nice-to-Haves: Experience with MLOps tools, bandit algorithms, A/B testing, or uplift modeling.