Description

• Write clean, scalable, and efficient Python code for data-related projects.
• Build, train, test, and optimize machine learning models for various business use cases. Collect, clean, process, and analyse large volumes of structured and unstructured data.
• Implement feature engineering and model evaluation techniques to improve performance. Visualize data using Python libraries e.g., Matplotlib, Seaborn to support reporting and analysis. Collaborate with cross-functional teams to understand business goals and deliver data-driven solutions.
• Maintain and improve existing ML models and data workflows.

Qualifications:

• Experience: 6 to 8 years
• Educational Qualification - Bachelor’s in computer science or BE/BTech in Electrical, Electronics or relevant stream or Master’s degree in Statistics, Mathematics, Economics or Physics

Must-Have Skills:

• Proficiency in Python programming, especially in the context of data handling and ML development.
• Hands-on experience with ML frameworks.
• Strong understanding of data analysis, preprocessing, and cleaning techniques.
• Experience with data visualization tools like Matplotlib and Seaborn.
• Solid knowledge of statistical methods, modelling and algorithm development.

Good to Have Skills:

• Experience with Power BI or other business intelligence tools.
• Exposure to cloud platforms Azure for data storage and ML model deployment.
• Familiarity with SQL or MySQL databases.
• Focus on AI/Ml/ MLops, core data sc, python, Statistical modelling

Key Skills

Education

Bachelor's or Master's degrees