AI and Machine Learning Expert

4 days ago

Bengaluru, Karnataka, India Thoucentric Technology Private Limited Full time
Deep Learning and NLP Data Scientist Job Summary

We are seeking a highly skilled Deep Learning and NLP Data Scientist to join our team at Thoucentric Technology Private Limited.

The ideal candidate will be responsible for designing, developing, and implementing machine learning models and algorithms to tackle complex NLP problems.

About the Role

This role involves working with large datasets, leveraging deep learning techniques, and applying NLP methodologies to extract meaningful insights.

As an NLP data scientist, you will be responsible for uncovering critical insights from tons of unstructured web research and design, and develop machine learning models and algorithms for NLP tasks such as sentiment analysis, named entity recognition, language generation, etc.

Key Responsibilities
  • Design and develop machine learning models and algorithms for NLP tasks such as sentiment analysis, named entity recognition, language generation, etc.
  • Work with large datasets, leveraging deep learning techniques, and applying NLP methodologies to extract meaningful insights.
  • Collaborate with cross-functional teams including software engineers, data engineers, and domain experts to integrate NLP solutions into products/services.
  • Fine-tune pre-trained language models for generative AI applications.
  • Apply, discover, and research techniques to optimize existing LLM training and serving, as well as improving the model quality.
  • Develop and deploy the LLMs for a variety of content generation tasks.
  • Evaluate model performance, conduct experiments, and iterate on models to enhance accuracy and efficiency.
Requirements

Strong proficiency in machine learning, deep learning, and NLP techniques with hands-on experience in frameworks such as TensorFlow, PyTorch, or Keras.

Proficiency in programming languages such as Python for data manipulation and model implementation. Strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.

Experience with NLP libraries like NLTK, spaCy, Transformers, etc.

Solid understanding of neural network architectures, attention mechanisms, and sequence modeling for NLP tasks.

Ability to work with large-scale datasets and apply data preprocessing techniques for NLP.

Previous work or research experience in deploying NLP models in production environments.

Experience with cloud platforms such as Azure/AWS is a plus.

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