
Data Scientist: Model Deployment Specialist
4 days ago
Job Title:
Data Scientist: Model Deployment Specialist
Job Description:
We are seeking an experienced Data Scientist to develop, train and validate predictive models using machine learning techniques.
Key Responsibilities:
- Develop and deploy analytical models using data science best practices.
- Collaborate with stakeholders to define data requirements and success metrics.
- Deploy models into production using DevOps principles.
- Build automated pipelines for model training, testing and retraining.
- Optimize model performance and ensure scalability and reliability.
- Monitor model drift and performance degradation.
- Implement CI/CD practices for data science workflows.
Technical Skills Required:
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn).
- Experience with machine learning frameworks (MLflow, PyTorch/TensorFlow).
- Good understanding of data engineering concepts (ETL, APIs).
- Hands-on with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cloud platforms (AWS, GCP) for model deployment.
- Strong background in statistics, machine learning algorithms and model evaluation techniques.
- Familiarity with version control (Git) and CI/CD pipelines.
Preferred Qualifications:
- Bachelor's/Master's degree in Computer Science, Data Science or related field.
- Experience in handling large-scale data pipelines.
- Exposure to feature stores and automated model monitoring.
- Strong problem-solving, analytical and communication skills.
Required Tools:
- Python 3.8+
- Scikit-learn 1.0+
- TensorFlow 2.4+
- Docker 20.10+
- Kubernetes 1.21+
- Cloud providers (AWS, GCP)
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