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| Company | Found From | Role | Links | Status (Planned/ Applied/ Rejected/ Interviewing/ Don;t think to go further with/ Selected) |
|---|---|---|---|---|
| Samar Tech | Indeed | NLP, ML | https://in.indeed.com/viewjob?from=app-tracker-saved-appcard&hl=en&jk=1ad1fe331d7208c8&tk=1hnj1dv6kgsq6800 | Applied Job, Job Assignment, Interviewing |
Description:
Full job description
Please call at 9891828828
Technical Skills:
- Programming Languages and Tools:
- What programming languages are you proficient in? (Common languages include Python, Java, and R)
- Have you worked with NLP libraries and frameworks such as NLTK, SpaCy, TensorFlow, or PyTorch?
- Can you provide examples of projects or tasks where you’ve applied NLP techniques using these tools?
- NLP Techniques:
- Can you explain common NLP tasks such as tokenization, part-of-speech tagging, named entity recognition, and syntactic parsing?
- Have you implemented or worked with machine learning models for text classification, sentiment analysis, or sequence labeling?
- What experience do you have with more advanced NLP tasks such as machine translation, summarization, question answering, or dialogue systems?
- Deep Learning and NLP:
- Are you familiar with deep learning architectures commonly used in NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models?
- Have you worked with pre-trained language models like BERT, GPT, or XLNet? Can you describe how they are used and fine-tuned for specific NLP tasks?
- Text Data Processing:
- How do you preprocess and clean text data before applying NLP techniques? (e.g., handling tokenization, stemming, stop-word removal, and normalization)
- Have you dealt with challenges related to noisy or unstructured text data, such as spelling errors, abbreviations, or slang?
- Evaluation and Performance Metrics:
- What metrics do you use to evaluate the performance of NLP models? (e.g., accuracy, precision, recall, F1-score)
- Can you explain the concept of cross-validation and its importance in model evaluation?
Domain Knowledge:
- Linguistics and Language Understanding:
- Do you have a background in linguistics or language studies? How does your understanding of linguistics inform your approach to NLP?
- Can you explain the differences between morphology, syntax, semantics, and pragmatics, and how they relate to NLP tasks?
- Application Areas:
- Have you worked on NLP projects in specific domains such as healthcare, finance, customer service, or social media analysis?
- How do you tailor NLP solutions to meet the needs and challenges of different application areas?
Soft Skills and Other Requirements:
- Communication and Collaboration:
- Can you effectively communicate technical concepts to non-technical stakeholders? Provide examples of how you’ve collaborated with interdisciplinary teams.
- Have you contributed to open-source NLP projects or participated in NLP-related communities and forums?
- Problem-Solving and Creativity:
- Describe a challenging NLP problem you’ve encountered and how you approached solving it.
- How do you stay updated with the latest developments and research in the field of NLP?
- Learning and Adaptability:
- NLP is a rapidly evolving field. How do you keep up with new techniques, models, and best practices?
- Can you provide examples of how you quickly learned new tools or technologies in previous roles?
- Ethical Considerations:
- Are you aware of ethical considerations and biases that may arise when working with NLP systems, such as fairness, privacy, and transparency?
- How do you ensure that NLP solutions adhere to ethical guidelines and standards?
Job Type: Part-time
Pay: â‚ą50,000.00 - â‚ą100,000.00 per month
Expected hours: 5 per week
Experience:
- total work: 4 years (Preferred)
Work Location: Remote
Speak with the employer
+91Â 9891828828
Links : Tags : Jobs & Internships Year : 2024 Month : February 24, February Date : 26th February, Monday, 2024, 26th February Category : Jobs