MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Machine Learning Engineer leading churn prediction model development for Architech. Collaborating with teams to optimize customer retention strategies and utilizing advanced AI and data analysis.
Responsibilities
- Lead the development and optimization of churn prediction models to identify customers at risk of leaving
- Building scalable machine learning models
- Designing feature engineering pipelines
- Monitoring performance
- Collaborating with business teams to translate insights into retention strategies
Requirements
- Experience with Customer Churn Predictions
- Proficiency in Python/R, SQL, DataBricks and data manipulation libraries
- Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
- Strong background in feature engineering and large-scale data processing
- Knowledge of statistical modelling and predictive analytics
- Familiarity with cloud platforms (Azure, AWS, GCP) and big data tools (Spark, Databricks)
- Excellent communication for technical and non-technical audiences
Benefits
- Learning budgets
- Internal bootcamps
- Certification bonuses
- Summit days
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