Data Scientist

Hyderabad

Exp: 4+ Years

Key Responsibilities:
Design, develop, and deploy Forecasting and predictive ML models in Azure Environment using pyspark.
Develop and maintain ML models using Data Bricks integrate them with other Azure services.
Handle end-to-end model lifecycle, including versioning control, testing, validation, and deployment in production environments (Azure Cloud).
Establish and manage secure database connections and perform data extraction and manipulation using SQL.
Monitor, maintain, and continuously improve deployed models for performance and accuracy.

Must-Have Skills:
Minimum 4+ years of experience in data science, machine learning with robust python backend.
Robust hands-on experience with Microsoft Azure, with and other related services.
Proficiency in Python and commonly used libraries (e.g., Pandas, NumPy,



Scikit[1]learn etc.).
Expertise in SQL and experience in working with relational and non-relational databases.
Proven experience in developing and deploying optimization models (e.g., linear programming, mixed-integer programming).
Solid understanding of model deployment pipelines and integration with business applications.
Familiarity with version control (e.g., Git) and CI/CD practices.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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