2 Named-entity recognition Jobs in India
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Gurugram · 4 - 6 years · ₹10L - ₹18L / yr · Raised funding · Posted 1 Aug 2025
Data ScienceJob Title : Data Scientist – NLP & LLM
Experience Required : 4 to 5+ Years
Location : Gurugram
Notice Period : Immediate Joiner Preferred
Employment Type : Full-Time
Job Summary :
We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.
Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python
Key Responsibilities :
- Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
- Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
- Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
- Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
- Perform data preprocessing, feature extraction, and training pipeline development.
- Evaluate model performance and iterate with scalable solutions.
- Collaborate with engineering and product teams to integrate models into production.
Required Skills :
- 4 to 5+ years of hands-on experience in Data Science and NLP.
- Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
- Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
- Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
- Familiarity with prompt engineering and fine-tuning LLMs is a plus.
- Excellent problem-solving and communication skills.
Bengaluru (Bangalore) · 2 - 5 years · ₹4L - ₹12L / yr · Bootstrapped · Posted 6 Oct 2022
2-5 yrs of proven experience in ML, DL, and preferably NLP.
Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.
𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐰𝐨𝐫𝐤 𝐨𝐧?
𝟏) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.
𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫?
𝟏) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
𝟐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
𝟑) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
𝟒) Expertise in RNN, LSTM, and other neural network architectures.
𝟓) DL frameworks: Tensorflow, Pytorch, Keras
𝟔) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
𝟕) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
𝟖) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.
𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐮𝐬?
𝟏) We offer Competitive remuneration.
𝟐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
𝟑) We offer flexibility to choose your tools, methods, and ways to collaborate.
𝟒) We always value and believe in new ideas and encourage creative thinking.
𝟓) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
𝟔) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
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