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Required skills: Data Scientist (AI/ML) + Azure + Databricks + Synapse + Azure ML The primary skill set is Data Scientist with strong Azure experience,

The candidate should have expertise in the following areas:

Core Expertise

- End-to-end data science workflow: data preparation, feature engineering, model building, validation, and deployment
- Proficiency in descriptive and inferential statistics
- Algorithm development for solving business problems

Azure Cloud Skills

- Hands-on experience with Azure Machine Learning, Databricks, Synapse Analytics, and Data Explorer (KQL)
- Skilled in using Azure Notebooks and integrating Azure services with open-source frameworks

Programming & Tools
- Robust command of Python and R




- Practical experience with libraries like scikit-learn, pandas, NumPy, TensorFlow, and PyTorch
- SQL proficiency for data manipulation and database management

Integration & Deployment
- Ability to integrate Azure tools with popular ML frameworks
- Experience in cloud-based model deployment, monitoring, and scaling

Analytical & Conceptual Strengths
- Advanced analytical thinking and problem-solving
- Experience in exploratory data analysis (EDA)
- Awareness of security and compliance in data science workflows

📌 Data Scientist (Sikandrabad)
🏢 Tekskills
📍 Sikandrabad