Day-to-day roles and responsibilities for a Machine Learning Developer Intern :
1. Data Collection and Preprocessing: Gather and clean data from various sources to prepare it for model training.
2. Model Development: Assist in building and fine-tuning machine learning models using frameworks like TensorFlow or PyTorch.
3. Algorithm Implementation: Implement and experiment with different algorithms to solve specific problems.
4. Performance Evaluation: Test and evaluate model performance, ensuring accuracy and efficiency.
5. Collaborating with Team Members: Work closely with data scientists, software developers, and other team members to integrate models into products.
6. Research and Experimentation: Stay updated with the latest ML techniques and research, experimenting with new approaches.
7. Documentation: Document processes, model parameters, and findings to maintain a clear record of work.
8. Debugging and Troubleshooting: Identify and fix issues related to data pipelines, model training, or deployment.
Only those candidates can apply who:
1. are available for the work from home job/internship
2. can start the work from home job/internship between 29th Aug'24 and 3rd Oct'24
3. are available for duration of 3 months
4. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 200000 to 400000 /year
Qriocity Ventures Private Limited is a cutting-edge edtech company dedicated to elevating students' academic and professional pursuits. With a core focus on projects, courses, and training, Qriocity offers a comprehensive platform where students can access a vast library of project templates, step-by-step guides, and interactive learning modules. Each resource is crafted by industry experts and educators to ensure content relevance and pedagogical effectiveness. For students seeking hands-on training, Qriocity's immersive workshops and virtual labs provide real-world applications, bridging the gap between theory and practice. The company's adaptive learning algorithms personalize the user experience, making it tailor-fit for every learner's unique needs.
