Data Scientist Fresher Job

We are seeking an enthusiastic and motivated candidate to join our team and work on exciting projects involving time series datasets and advanced machine learning techniques. As an employee, you will be responsible for developing and implementing data processing pipelines, rule-based algorithms, and machine learning models using Python to analyze time series data.

Key Responsibilities:

1. Stock Market Data Analysis: Utilize rule-based algorithms and various machine learning techniques to analyze stock market datasets. Conduct time series forecasting using Python and deep learning techniques.

2. Machine Learning Data Processing Pipelines: Design and build scalable data processing pipelines for efficient handling of financial data. Implement data cleaning, transformation, and feature engineering.

3. Real-time Flask-based APIs: Develop robust and secure Flask-based APIs for real-time access to ML models and analysis results. Ensure efficient handling of multiple concurrent requests.

4. Python and Django Web Interfaces: Build user-friendly web interfaces using Python and Django to interact with APIs and visualize analysis results. Create intuitive and responsive front-end designs.

5. Database Management: Set up and maintain secure databases for financial datasets and model outputs. Optimize database performance and ensure data integrity.

6. Cloud Deployment: Deploy ML data processing pipelines and web applications on scalable cloud solutions. Implement best practices for reliable and cost-effective cloud deployment.

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