
Senior Predictive Modeler
7 hours ago
About the Role:
As a data modeler, you will play a key role in developing and deploying predictive models using machine learning techniques.
- Key Responsibilities:
- Develop predictive models using machine learning algorithms.
- Collaborate with cross-functional teams to define data requirements and success metrics.
- Deploy models into production using best practices.
- Build automated pipelines for model training, testing, monitoring, and retraining.
- Optimize model performance and ensure scalability and reliability.
- Monitor model drift and performance degradation.
- Implement CI/CD practices for machine learning workflows.
Requirements:
- Technical Skills:
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn).
- Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow).
- Good understanding of data engineering concepts (ETL, data pipelines).
- Hands-on with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cloud platforms (AWS, GCP, Azure) for model deployment.
- Strong background in statistics and machine learning algorithms.
- Familiarity with version control (Git).
Preferred Qualifications:
- Bachelor's/Master's degree in Computer Science, Data Science, Statistics.
- Experience in handling large-scale data pipelines.
- Exposure to feature stores and automated model monitoring.
- Strong problem-solving, analytical, and communication skills.
Benefits:
Our company offers a dynamic work environment and opportunities for professional growth.
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