Data Scientist Lead

1 week ago

Bengaluru, Karnataka, India Draup Business Solution Pvt. Ltd. Full time

Job Title: Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist to lead our team in developing advanced Natural Language Processing (NLP) solutions. In this role, you will design, build, and optimize NLP models using transformer architectures, deep learning, and traditional machine learning techniques.

- NLP Model Development: Develop scalable, high-performance NLP models that solve complex language challenges using the latest NLP frameworks and models (e.g., BERT, GPT, T5).

- Data Preprocessing and Feature Engineering: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.

- Model Fine-Tuning and Transfer Learning: Fine-tune large language models for specific applications, leveraging transfer learning techniques, domain adaptation, and a mix of deep learning and traditional ML models.

- Performance Optimization: Optimize model performance for scalability and latency, applying techniques such as quantization and ONNX formats etc.

- Research and Innovation: Stay updated with the latest research in NLP, Deep Learning, and Generative AI, applying innovative solutions and techniques (e.g., RAG applications, Prompt engineering, Self-supervised learning).

- Evaluation and Testing: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards.

- Deployment and Monitoring: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes.

Salary: ₹25-40 lakhs per annum (dependent on experience).

Required Skills and Qualifications:

  • Bachelor's degree in computer science or a related field.
  • Minimum 3-5 years of experience in NLP, Deep Learning, and ML.
  • Advanced NLP Techniques: Proficiency in transformer models (e.g., BERT, RoBERTa, GPT, T5), entity recognition (NER), text classification, summarization, question answering, and language generation.
  • Programming: Strong programming skills in Python, with experience in NLP libraries such as Hugging Face Transformers, spaCy, NLTK, and Gensim.
  • ML and DL Frameworks: Proficiency in ML and Deep Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Familiarity with traditional ML models like SVMs, Logistic Regression, Decision Trees, and KNN etc.

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