18,885 Natural Language Processing jobs in India

Part-Time NLP Faculty – Immediate Requirement (Bangalore Only)

Location: Bangalore, India

Job Type: Part-Time (Hourly Pay)

Industry: Education / Training / EdTech

Job Description:

We are looking for a passionate and experienced Part-Time NLP Faculty to join our academic team in Bangalore. This is an immediate requirement for someone who can take up sessions on Natural Language Processing (NLP) for college students.

The ideal candidate must be currently residing in Bangalore and should be available to take in-person (based on schedule).

Key Responsibilities:

• Deliver high-quality sessions on Natural Language Processing concepts and tools.
• Prepare course materials, assignments, and projects.
• Provide mentorship and guidance to learners.
• Assess and evaluate student progress regularly.
• Work with the curriculum team to continuously improve content and delivery.

Requirements:

• Must be located in Bangalore (applications from other cities will not be considered).
• Proven experience in Natural Language Processing, Machine Learning, or related domains.
• Prior teaching/training experience preferred.
• Comfortable delivering sessions over weekdays (flexible schedule).
• Excellent communication and presentation skills.

Compensation:

• Hourly Pay – Competitive and based on experience.
• Flexible working hours.

How to Apply:

Please apply with your updated resume and mention:

• Your current location
• Your availability (hours per week)
• Expected hourly pay
• Earliest joining date

Applications will be reviewed on a rolling basis. Immediate joiners are preferred. Share your resume to or DM to

Job Type: Part-time

Pay: ₹10, ₹20,000.00 per month

Expected hours: 3 per week

Work Location: In person

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

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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.

Requisition ID: -

• Conduct advanced research in Natural Language Processing and related AI fields.
• Develop and implement novel NLP models and algorithms.
• Design and execute experiments to evaluate model performance.
• Publish research results in top-tier conferences and journals.
• Collaborate with other researchers and engineers on AI projects.
• Stay current with the latest advancements in AI and NLP research.
• Contribute to the development of AI-powered products and services.
• Mentor junior researchers and interns.
• Present research findings to technical and non-technical audiences.

• PhD or equivalent research experience in Computer Science, AI, Machine Learning, or a related field.
• Proven track record of research publications in NLP/AI.
• Expertise in deep learning frameworks (TensorFlow, PyTorch).
• Strong programming skills in Python.
• In-depth knowledge of NLP techniques (e.g., embeddings, transformers, sequence modeling).
• Experience with large-scale data processing and analysis.
• Excellent analytical and problem-solving abilities.
• Strong communication and presentation skills.
• Demonstrated ability to work independently and collaboratively in a remote setting.

• Conduct fundamental and applied research in Natural Language Processing.
• Develop and implement novel algorithms and models for tasks such as text classification, sentiment analysis, machine translation, and question answering.
• Design and execute experiments to evaluate the performance of NLP models.
• Explore and apply deep learning architectures (e.g., Transformers, RNNs, CNNs) to NLP problems.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Stay abreast of the latest advancements in NLP, machine learning, and AI research.
• Publish research findings in leading academic journals and conferences.
• Mentor junior researchers and contribute to a collaborative research culture.
• Contribute to the intellectual property portfolio through invention disclosures and patent applications.
• Present research work to internal and external audiences.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on NLP.
• Proven research experience in Natural Language Processing, with a strong publication record.
• Deep understanding of machine learning and deep learning principles.
• Hands-on experience with NLP libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, NLTK, spaCy).
• Proficiency in programming languages such as Python.
• Experience with large language models (LLMs) and their applications.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a research team.
• Experience with distributed training and large-scale data processing is a plus.

• Conduct research and develop novel algorithms in NLP.
• Design, implement, and evaluate machine learning models for NLP tasks.
• Process and analyze large datasets for model training.
• Stay abreast of the latest research and advancements in AI and NLP.
• Collaborate with cross-functional teams to integrate AI solutions.
• Publish research findings in leading conferences and journals.
• Contribute to the development of AI strategy and roadmaps.
• Mentor junior researchers and engineers.
• Develop and maintain documentation for AI models and systems.
• Explore and implement cutting-edge NLP techniques, including LLMs and transformers.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a specialization in NLP.
• Proven track record of research and publications in top NLP conferences/journals.
• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch).
• In-depth knowledge of NLP techniques, including deep learning, transformers, and LLMs.
• Experience with data processing and model evaluation methodologies.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills.

• Conduct cutting-edge research in Natural Language Processing and related AI fields.
• Design, implement, and evaluate novel NLP algorithms and models.
• Develop and fine-tune large language models (LLMs) and transformer architectures.
• Analyze large-scale text datasets and extract meaningful insights.
• Collaborate with a research team to define research agendas and project roadmaps.
• Publish research findings in leading AI conferences and journals.
• Develop prototypes and proof-of-concepts for new AI applications.
• Stay abreast of the latest advancements in AI, ML, and NLP research.
• Mentor junior researchers and contribute to the team's technical growth.
• Present research findings to internal and external stakeholders.

• PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
• Strong publication record in top-tier AI/ML/NLP conferences and journals.
• Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
• In-depth knowledge of NLP techniques, algorithms, and libraries.
• Experience with large language models (LLMs) and transformer architectures.
• Strong programming skills in Python.
• Experience with distributed training and high-performance computing environments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to conduct independent research in a remote setting.