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Generative AI and Natural Language Processing (NLP)

Generative AI and Natural Language Processing (NLP)

Infosys

5 - 10 years

10 - 20 Lacs

hyderabad chennai bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

machine learning nlp generative ai machine learning nes

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities:

We are looking for fresh candidates with a strong passion for Generative AI and Natural Language Processing (NLP) to join our team. In this role, you will have the opportunity to learn and contribute to the development of cutting-edge AI solutions, working with state-of-the-art technologies such as transformers, text generation, and sentiment analysis. You will gain hands-on experience in building and fine-tuning Generative AI models, particularly focusing on NLP tasks. This is a fantastic opportunity to grow alongside a team of experts, tackle real-world challenges, and advance the field of AI. We seek individuals with curiosity, a strong learning mindset, and a desire to make a meaningful impact through technology.

Preferred candidate profile:

Natural Language Processing (NLP):

.

b. Contribute to the development of language models for text summarization, question answering, and dialog systems.

c. Work with large, unstructured text datasets and apply techniques such as text preprocessing, tokenization, and embedding generation.

Collaborate with team members to develop AI-driven solutions that involve transformer-based models, text generation, and other cutting-edge NLP techniques.

Learning & Growth: Continuously improve knowledge of emerging AI and NLP trends, techniques, and technologies.

Participate in learning programs and research to deepen expertise in transformer models, LLMs, RAG, and other relevant techniques.

Documentation: Maintain clear and organized documentation of models, experiments, code, and results to ensure reproducibility and efficient knowledge sharing within the team.

Must have skills:

Basic understanding of Natural Language Processing (NLP) techniques such as text classification, tokenization, sentiment analysis, and named entity recognition (NER).

Familiarity with Generative AI concepts, including Generative Adversarial Networks (GANs), transformers, and autoencoders.

Strong programming skills in Python, with experience using libraries like NumPy, Pandas, TensorFlow, PyTorch, and Hugging Face for model building and data manipulation.

Knowledge of machine learning algorithms and basic model evaluation techniques.

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) or basic cloud concepts for model training and deployment.

Willingness to learn and work with GPU/TPU computing for efficient model training and inference.

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Generative AI and Natural Language Processing (NLP)