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Generative AI And Natural Language Processing (NLP)
Data Science Analytics & Machine Learning
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Job Description
- Your role as a Natural Language Processing (NLP) Engineer will involve:
- **Role Overview**:
You will be responsible for assisting in the design and development of NLP systems for tasks such as text classification, sentiment analysis, named entity recognition (NER), machine translation, and language models development. Collaboration with team members to develop AI-driven solutions involving transformer-based models, text generation, and other cutting-edge NLP techniques is crucial. Continuously improving your knowledge of emerging AI and NLP trends, techniques, and technologies through learning programs and research is essential. Moreover, maintaining clear and organized documentation of models, experiments, code, and results to ensure reproducibility and efficient knowledge sharing within the team is a key aspect of your role.
- **Key Responsibilities**:
- Understand and apply NLP techniques such as text classification, tokenization, sentiment analysis, and named entity recognition (NER).
- Utilize Generative AI concepts including Generative Adversarial Networks (GANs), transformers, and autoencoders.
- Demonstrate strong programming skills in Python and experience with libraries like NumPy, Pandas, TensorFlow, PyTorch, and Hugging Face for model building and data manipulation.
- Apply machine learning algorithms and basic model evaluation techniques.
- Work with cloud platforms (e.g., AWS, Azure, Google Cloud) for model training and deployment.
- Collaborate with team members to develop AI-driven solutions involving transformer-based models, text generation, and other NLP techniques.
- Continuously improve knowledge of emerging AI and NLP trends through learning programs and research.
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- Maintain clear and organized documentation of models, experiments, code, and results for efficient knowledge sharing within the team.
- **Qualifications Required**:
- Bachelor's degree in computer science, Engineering, Mathematics, Physics, or related field is required.
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field is preferred for senior roles.
This role is based in India.,
Skills
AutoML FrameworksDriveHugging FaceTensorFlowNatural Language Processing NLPWritten CommunicationModel BuildingLanguage ModelsPythonPandasDocumentationGitTeamworkNumPyCustomer FocusLLMsRAGText ClassificationTransfer Learning TechniquesText GenerationQuestion AnsweringText SummarizationGPUTPU ComputingTransformerbased ModelsMLOps ConceptsNamed Entity Recognition NERPrioritizationSentiment AnalysisGenerative AIDialog SystemsAgentic AI ConceptsIntelligent Agentbased SystemsAI Deployment ToolsCloud PlatformsNLP TechniquesUrgencyData ManipulationPyTorchMachine Learning AlgorithmsDockerSoft SkillsEmerging AI TrendsVerbal CommunicationIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Infosys Limited is an Indian multinational information technology company that provides business consulting, information technology and outsourcing services. The company was founded in Pune and is headquartered in Bangalore.
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 45 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many nexts of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change.
We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.
Important dates & deadlines?
Application Deadline
02 Nov 25, 01:40 PM IST
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Generative AI And Natural Language Processing (NLP)
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