Data Scientist Internship at Oriserve: A Gateway to Innovation in AI and NLP
If you’re passionate about Artificial Intelligence (AI), Deep Learning, and Natural Language Processing (NLP), the Data Scientist Internship at Oriserve is an incredible opportunity to hone your skills and contribute to impactful projects. Offering a stipend of ₹22,000–₹25,000, this Noida-based internship requires no prior experience, making it an ideal choice for recent graduates and budding data scientists.
The Data Scientist Internship at Oriserve provides a platform for aspiring data enthusiasts to immerse themselves in cutting-edge technologies like Artificial Intelligence (AI), Deep Learning, and Natural Language Processing (NLP). With a duration of 6 months to 1 year, this internship offers unparalleled opportunities to work on real-world data and collaborate with experts in the field—all while earning a competitive stipend.
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Key Responsibilities
1. Advanced AI and NLP Projects
- Design and implement ML models, including neural networks and optimization algorithms.
- Work on text mining, topic modeling, and other NLP tasks.
2. Data Analysis and Insights
- Extract and process data from diverse sources.
- Use machine learning techniques to uncover patterns and gain insights.
3. Algorithm Development
- Optimize pre-existing algorithms for speed and accuracy.
- Experiment with tools like Keras, TensorFlow, BERT, and Transformers.
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Skills and Qualifications
| Required Skills | Proficiency Level |
|---|---|
| Python | Advanced |
| SQL and NoSQL | Intermediate |
| Deep Learning Tools | Intermediate to Advanced |
| Text Classification/NER | Advanced |
| Cloud Data Processing | Intermediate |
Preferred Skills
- Knowledge of Reinforcement Learning, SVM, LSTM, and KNN.
- Experience with Big Data, XML Parsing, and data distribution in cloud environments.
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Internship Details
| Aspect | Details |
|---|---|
| Location | Noida, Sector 3 (Work from Office) |
| Duration | 6 months to 1 year |
| Stipend | ₹22,000–₹25,000 per month |
| Work Schedule | Full-time |
What Makes a Successful Candidate?
- Educational Background
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, or a related field.
- Analytical Thinking
- Strong problem-solving skills with the ability to translate business objectives into data-driven insights.
- Communication Skills
- Ability to articulate complex statistical content in a way that’s accessible to non-technical stakeholders.
- Innovation Mindset
- A natural curiosity for finding innovative solutions to industry challenges.
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