About the internship
We are seeking an enthusiastic and motivated intern to join our team and work on exciting projects involving financial datasets and advanced machine learning techniques.
Selected intern's day-to-day responsibilities include:
A. Machine Learning Data Processing Pipelines:
1. Design and build scalable data processing pipelines to handle large volumes of financial data efficiently.
2. Implement data cleaning, transformation, and feature engineering steps to prepare data for modeling.
B. Real-time Flask-based APIs:
1. Develop real-time Flask-based APIs to provide access to our machine learning models and data analysis results.
2. Ensure the APIs are robust, secure, and efficient to handle multiple concurrent requests.
C. Python and Django Web Interfaces:
1. Build user-friendly web interfaces using Python and Django to interact with the APIs and visualize the analysis results.
2. Create intuitive and responsive front-end designs to enhance user experience.
D. Database Management:
1. Set up and maintain databases to store and manage financial datasets and model outputs securely.
2. Optimize database performance and ensure data integrity throughout the data lifecycle.
E. Cloud Deployment:
1. Deploy the machine learning data processing pipelines and web applications on cloud solutions for scalability and accessibility.
Qualifications:
1. Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field.
2. Proficiency in Python programming and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
3. Experience with time series analysis and forecasting is a plus.
4. Knowledge of web development using Flask and Django frameworks.
5. Familiarity with database management systems (SQL, NoSQL) and cloud platforms (e.g., AWS, Azure, GCP).
Skill(s) required
Data Analytics
Data Science
Deep Learning
Machine Learning
Natural Language Processing (NLP)
Python
Earn certifications in these skills
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 11th Jun'24 and 16th Jul'24
3. are available for duration of 6 months
4. are from or open to relocate to Hyderabad and neighboring cities
5. have relevant skills and interests
Other requirements
1. Candidates from a computer science or machine learning background will have an edge.
Perks
Certificate
Letter of recommendation
Job offer
Additional information
Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 100000 to 400000 /year
Number of openings
3
About Recsify Technologies
Recsify is an advanced recommendation engine service designed to enhance the shopping experience for e-commerce customers. Leveraging machine learning algorithms, Recsify analyzes user interactions, purchase history, and product attributes to generate personalized product recommendations. Integrated seamlessly with e-commerce platforms like Shopify and Magento, Recsify offers merchants the ability to display tailored recommendations on their websites or mobile apps. With customization options and real-time updates, merchants can optimize recommendation strategies for better engagement and conversion rates. Recsify's analytics and insights provide valuable metrics to track recommendation performance, ensuring continuous improvement in user satisfaction and sales growth.
