14,386 Natural Language Processing jobs in India

Overview

Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the worlds biggest challenges.

Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning.

As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be!

Responsibilities

Requirements

Recommended Qualifications

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About Esri

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their lifes best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esris Racial Equity and Social Justice initiatives, please visit our website .

If you dont meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

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• Conduct research in Natural Language Processing (NLP) and Machine Learning (ML).
• Develop, train, and evaluate state-of-the-art NLP models (e.g., transformers, LLMs).
• Implement NLP algorithms for tasks such as sentiment analysis, NER, text classification, and translation.
• Process and analyze large text datasets.
• Collaborate with engineering teams to integrate NLP models into production systems.
• Stay current with the latest research and advancements in AI and NLP.
• Publish research findings in top-tier conferences and journals.
• Design and conduct experiments to validate hypotheses and improve model performance.
• Develop prototypes and proof-of-concepts for new NLP applications.
• Contribute to the strategic direction of AI research and development.

• Ph.D. or Master's degree in Computer Science, AI, Linguistics, or a related field with a focus on NLP.
• Proven research experience in NLP, with publications in reputable venues.
• Strong theoretical understanding of machine learning algorithms and deep learning architectures.
• Proficiency in programming languages such as Python.
• Experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, spaCy).
• Experience with data processing and analysis tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a research team.

• Conduct advanced research in Natural Language Processing (NLP) and related AI fields.
• Develop, implement, and evaluate novel NLP models and algorithms.
• Collaborate with engineering teams to integrate AI solutions into products.
• Analyze large datasets to identify patterns and insights.
• Stay abreast of the latest research and advancements in AI and NLP.
• Publish research findings in leading conferences and journals.
• Contribute to the strategic roadmap for AI development.
• Mentor junior researchers and engineers.

• Ph.D. or Master's degree in Computer Science, AI, or a related field.
• Proven track record of research and development in NLP.
• Strong programming skills in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with deep learning architectures for NLP (e.g., Transformers, RNNs, LSTMs).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.

• Conduct cutting-edge research in Natural Language Processing and Machine Learning.
• Develop and implement novel NLP models, including deep learning and transformer architectures.
• Design and execute experiments to evaluate and improve model performance.
• Process and analyze large text datasets for training and inference.
• Collaborate with engineers to deploy AI models into production environments.
• Stay updated with the latest research papers and trends in AI and NLP.
• Publish research findings in top-tier conferences and journals.
• Contribute to the development of AI strategies and roadmaps.
• Mentor junior researchers and interns.
• Present research progress and results to technical and non-technical audiences.