Python for Data Science Lead

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Mandatory Skills

AIML, Azure, Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Preferred Skills

MLOps and CI/CD.

Job Description / Roles & Responsibilities (in Detail)

Role Overview

The Python for Data Science role focuses on designing, developing, and maintaining scalable data science solutions using Python.

Key Responsibilities

• Design and maintain data pipelines.
• Develop optimized Python scripts.
• Build and deploy machine learning models.
• Implement MLOps practices.
• Work with Azure, Databricks, and Spark.
• Perform data preprocessing and feature engineering.
• Automate workflows using Python scripting.

Required Skills & Qualifications:

• Strong Python programming skills.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with NumPy, Pandas, and Matplotlib.
• Knowledge of MLOps and CI/CD.
• SQL and database querying proficiency.
• Unix/Linux and shell scripting familiarity.

Experience Requirements

• 8+ years experiences candidate.
• Strong track record in AI/ML solution delivery.

Preferred Skills

• Azure AI Foundry, Databricks, Spark.
• Regulatory/compliance knowledge.
• Deep learning and generative AI.