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Generative AI and Natural Language Processing (NLP)Professional

Generative AI and Natural Language Processing (NLP)Professional

Infosys

5 - 10 years

10 - 14 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

python natural language processing machine learning tensorflow pytorch sentiment analysis data manipulation microsoft azure numpy artificial intelligence docker sql pandas django git data science gcp flask aws machine learning algorithms

Work Mode

Work from Office

Job Type

Full Time

Job Description

Educational Requirements
Bachelor of Engineering,BSc,BBA Service Line
Data & Analytics UnitResponsibilities
Natural Language Processing (NLP):a. Assist in the design and development of NLP systems for tasks such as text classification, sentiment analysis, named entity recognition (NER), and machine translation.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 & GrowthContinuously 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. DocumentationMaintain clear and organized documentation of models, experiments, code, and results to ensure reproducibility and efficient knowledge sharing within the team.Additional Responsibilities:
Nice to Have Skills:

Familiarity with Agentic AI concepts or exposure to intelligent agent-based systems. Exposure to working with open-source LLMs (e.g., Hugging Face) and transformer-based models. Understanding of Docker for containerizing applications and models. Exposure to AutoML frameworks or transfer learning techniques. Familiarity with version control systems like Git. Understanding of basic MLOps concepts for deploying machine learning models in production. Interest in AI deployment tools such as Flask, FastAPI, Django etc . for serving models in real-world applications.Soft

Skills:

Strong verbal and written communication skills with the ability to work well in a team. Strong customer focus, ownership, urgency, and drive. Ability to handle multiple, competing priorities in a fast-paced environment. Work well with the team members to maintain high credibility.Educational Requirements (any of the following): Bachelors degree in computer science, Engineering, Mathematics, Physics, or a related field (required). Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (preferred for senior roles).Location: India

Technical and Professional Requirements: 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.

Preferred Skills:

Technology->Machine Learning->Generative AI

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Generative AI and Natural Language Processing (NLP)Professional