Posted:1 month ago|
Platform:
On-site
Full Time
• Write efficient, optimized SQL queries to extract, transform, and analyze large
datasets from relational and cloud-based data warehouses.
• Develop, test, and deploy data science models using Python and relevant libraries
(e.g., pandas, scikit-learn, NumPy).
• Build and maintain automated data pipelines for preprocessing and model inference.
• Deploy machine learning models and APIs on cloud platforms (AWS, GCP, or
Azure).
• Collaborate with data engineers and DevOps to ensure scalable and production-ready
solutions.
• Monitor deployed models for performance, drift, and reliability; set up alerting and
logging as needed.
• Work with cross-functional teams to translate business needs into actionable data
science solutions.
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