Data Science Engineer

Experience Required:

• Experience deploying machine learning models in production environments, using APIs, containers (e.g., Docker), or orchestration tools like Kubernetes.
• Hands-on experience with databases, data warehouses (e.g., Snowflake, Redshift), and distributed computing environments.
• 4+ years’ experience in data engineering or data science with a solid understanding of both.
• Strong programming skills in Python (or R) and SQL.
• Proficiency with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with big data.