847 Natural Language Processing jobs in Bangalore
AI Research Scientist - Natural Language Processing
Posted 11 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas like sentiment analysis, text generation, machine translation, and question answering.
- Develop and implement advanced NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and execute experiments to evaluate model performance and validate hypotheses.
- Analyze large-scale text datasets to extract meaningful insights and identify patterns.
- Collaborate with other researchers and engineers to translate research findings into practical AI solutions.
- Stay abreast of the latest advancements and publications in the AI and NLP fields.
- Contribute to the development of intellectual property, including patents and publications.
- Optimize NLP models for performance, scalability, and deployment in real-world applications.
- Prepare research papers, technical reports, and presentations for internal and external audiences.
- Mentor junior researchers and interns in NLP and machine learning techniques.
- Engage in code reviews and contribute to the team's codebase.
- Explore novel approaches to address complex language understanding challenges.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field with a focus on NLP.
- Proven track record of research in NLP, demonstrated through publications in top-tier conferences or journals.
- Strong theoretical understanding of machine learning, deep learning, and statistical modeling.
- Hands-on experience with major NLP libraries and frameworks (e.g., Hugging Face Transformers, spaCy, NLTK, TensorFlow, PyTorch).
- Proficiency in programming languages such as Python.
- Experience with large language models (LLMs) and their applications.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex concepts clearly.
- Ability to work independently and contribute effectively in a hybrid team environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Demonstrated ability to drive research projects from conception to completion.
AI Research Engineer - Natural Language Processing
Posted 12 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas such as language understanding, generation, translation, and information extraction.
- Develop, train, and evaluate state-of-the-art NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and implement novel algorithms and techniques to address challenging NLP problems.
- Process and analyze large-scale text datasets to extract meaningful insights and improve model performance.
- Collaborate with a team of AI researchers and engineers to integrate NLP solutions into innovative products and platforms.
- Stay current with the latest advancements in AI and NLP research, literature, and tools.
- Publish research findings in top-tier AI conferences and journals.
- Develop and maintain robust, scalable, and efficient NLP pipelines.
- Contribute to the open-source AI/NLP community where appropriate.
- Mentor junior researchers and engineers on NLP techniques and best practices.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of research and development experience in Natural Language Processing.
- Proven expertise in deep learning models for NLP (e.g., Transformers, LSTMs, RNNs, BERT, GPT).
- Proficiency in programming languages such as Python and experience with ML/DL libraries.
- Strong understanding of linguistic principles and computational linguistics.
- Experience with cloud platforms (AWS, GCP, Azure) and big data technologies is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts effectively in a remote setting.
- Demonstrated track record of research contributions through publications or impactful projects.
AI Research Scientist (Natural Language Processing)
Posted 16 days ago
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Job Description
Responsibilities:
- Conduct advanced research in Natural Language Processing (NLP) and Machine Learning (ML).
- Develop and implement novel NLP algorithms and models for various applications, including text classification, named entity recognition, question answering, and summarization.
- Design and execute experiments to evaluate the performance of AI models.
- Stay abreast of the latest research and advancements in NLP, deep learning, and related fields.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Develop and maintain high-quality code for AI models and research experiments.
- Analyze large datasets to identify patterns and insights for model development.
- Contribute to the development of intellectual property and patents.
- Present research results to internal teams and external stakeholders.
- Mentor junior researchers and contribute to the growth of the AI research community.
- Explore new AI applications and opportunities for innovation.
This role requires exceptional analytical and problem-solving skills, a deep understanding of mathematical concepts, and a passion for pushing the boundaries of AI. You should possess strong programming skills and the ability to work independently and effectively in a distributed team. If you are a dedicated AI researcher passionate about shaping the future of artificial intelligence through NLP, this remote opportunity is for you. The position is based in Bengaluru, Karnataka, IN and is fully remote.
Senior AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct pioneering research in NLP, including areas such as language understanding, generation, translation, summarization, and sentiment analysis.
- Design, implement, and evaluate state-of-the-art NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Develop and apply advanced machine learning techniques to solve complex language-related problems.
- Analyze large-scale text datasets to extract insights and inform model development.
- Collaborate with product teams to integrate research findings into practical AI solutions.
- Publish research results in top-tier AI conferences and journals.
- Stay abreast of the latest advancements in NLP and machine learning research.
- Mentor junior researchers and contribute to the growth of the AI research team.
- Develop and maintain high-quality, well-documented code for research experiments.
- Contribute to the company's intellectual property through patents and publications.
- Present research findings to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a focus on NLP.
- 5+ years of research experience in NLP, with a strong publication record in leading conferences (e.g., ACL, EMNLP, NeurIPS).
- Deep understanding of classical NLP techniques and state-of-the-art deep learning architectures for NLP (e.g., Transformers, BERT, GPT).
- Proficiency in programming languages such as Python and experience with deep learning frameworks (TensorFlow, PyTorch).
- Experience working with large text corpora and implementing NLP pipelines.
- Strong analytical and problem-solving skills, with a rigorous scientific mindset.
- Excellent communication and collaboration skills, with the ability to work effectively in a hybrid environment.
- Proven ability to independently drive research projects from conception to completion.
- Experience with distributed training and cloud computing platforms is a plus.
Senior AI Research Scientist - Natural Language Processing
Posted 6 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP).
- Develop and implement novel NLP algorithms and models (e.g., LLMs, transformers).
- Analyze and interpret complex datasets for NLP tasks.
- Design and execute research experiments to validate hypotheses.
- Collaborate with engineering teams to deploy research models into production.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Stay abreast of the latest advancements in AI and NLP.
- Contribute to the development of the company's AI strategy and roadmap.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on NLP.
- Minimum of 5 years of research experience in NLP.
- Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Deep understanding of machine learning, deep learning, and NLP fundamentals.
- Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with LLMs, transformers, and related architectures.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation abilities.
Senior AI Research Scientist - Natural Language Processing
Posted 9 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct advanced research in Natural Language Processing, focusing on areas such as language modeling, text generation, sentiment analysis, machine translation, and question answering.
- Design, develop, and implement novel deep learning architectures and algorithms for NLP tasks.
- Train, fine-tune, and evaluate large language models (LLMs) on diverse datasets.
- Collaborate with cross-functional teams to integrate NLP models into products and services.
- Publish research findings in top-tier AI conferences and journals.
- Stay abreast of the latest advancements in NLP, machine learning, and deep learning research.
- Mentor junior researchers and contribute to the intellectual growth of the team.
- Develop prototypes and proof-of-concepts for new NLP applications.
- Contribute to the development of efficient and scalable NLP infrastructure.
- Analyze and interpret complex model performance metrics.
- Identify and explore new research opportunities in the field of AI and NLP.
- Contribute to the intellectual property portfolio through patents and publications.
- Ensure the responsible and ethical development of AI technologies.
This position is based in **Bengaluru, Karnataka, IN**, but operates under a fully remote model, demanding a high degree of self-motivation and discipline. A Ph.D. in Computer Science, Artificial Intelligence, or a related field with a specialization in NLP is required, along with a minimum of 6 years of relevant research experience. Strong programming skills (Python) and extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) are essential. We are looking for a visionary researcher with a passion for innovation and a proven track record of significant contributions to the NLP field.
Lead AI Research Scientist - Natural Language Processing
Posted 11 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead and mentor a team of AI researchers focused on NLP.
- Design, implement, and evaluate state-of-the-art NLP models and algorithms.
- Conduct rigorous research to push the boundaries of NLP capabilities.
- Collaborate with engineering teams to deploy research prototypes into production.
- Publish research findings in leading academic venues and contribute to intellectual property.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Develop and maintain robust research infrastructure and datasets.
- Present research results to technical and non-technical audiences.
- Contribute to the strategic direction of the AI research roadmap.
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Lead AI Research Scientist - Natural Language Processing
Posted 13 days ago
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Job Description
Responsibilities:
- Lead and conduct fundamental and applied research in NLP, including areas such as text generation, sentiment analysis, machine translation, question answering, and summarization.
- Develop and implement novel deep learning architectures and algorithms for NLP tasks.
- Design and execute experiments, analyze results, and publish findings in top-tier academic conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
- Mentor junior researchers and interns, providing technical guidance and fostering a research-oriented culture.
- Stay abreast of the latest advancements in AI, machine learning, and NLP, and identify opportunities for innovation.
- Contribute to the strategic direction of the AI research roadmap.
- Present research findings to technical and non-technical audiences.
- Evaluate and benchmark various NLP models and techniques.
- Contribute to the development of intellectual property through patents and publications.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- 7+ years of post-graduate research experience in NLP, with a significant focus on deep learning.
- Strong publication record in leading NLP and AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in NLP libraries and toolkits (e.g., Hugging Face Transformers, spaCy, NLTK).
- Solid understanding of machine learning theory, statistical modeling, and data science principles.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and project management capabilities.
- Effective communication and presentation skills.
Lead AI Research Scientist - Natural Language Processing
Posted 19 days ago
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Job Description
Key responsibilities include designing and implementing novel NLP architectures, conducting rigorous experimentation to evaluate model performance, and contributing to the development of robust, scalable AI systems. You will also be responsible for staying abreast of the latest advancements in machine learning, deep learning, and NLP, identifying emerging trends and opportunities for innovation. Mentoring junior researchers, collaborating with product teams to define research roadmaps, and contributing to intellectual property development are also key aspects of this role. A Ph.D. in Computer Science, Artificial Intelligence, or a closely related field, with a specialization in NLP, is highly preferred. Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras, along with proficiency in programming languages like Python, is essential. Familiarity with large language models (LLMs), transformers, and their applications is a significant advantage. We are seeking a candidate with strong analytical and problem-solving skills, excellent leadership qualities, and the ability to communicate complex technical ideas effectively to diverse audiences. This is an unparalleled opportunity to work on challenging problems, collaborate with leading experts, and make a significant impact in the rapidly evolving field of AI. You will be at the core of developing next-generation intelligent systems.
Principal AI Engineer - Natural Language Processing
Posted 8 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and deployment of NLP models and applications.
- Architect scalable and robust NLP solutions for various use cases (e.g., text classification, sentiment analysis, named entity recognition, machine translation).
- Collaborate with AI researchers to translate research prototypes into production systems.
- Develop and implement efficient data processing pipelines for text data.
- Optimize NLP models for performance, accuracy, and computational efficiency.
- Write high-quality, well-documented, and maintainable code.
- Mentor junior engineers and provide technical guidance.
- Stay updated on the latest advancements in NLP research and industry best practices.
- Contribute to the overall AI strategy and technology roadmap.
- Troubleshoot and resolve issues in production NLP systems.
- Evaluate and integrate third-party NLP tools and libraries.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field.
- Minimum of 7 years of experience in software engineering, with a strong focus on NLP.
- Demonstrated experience in building and deploying production-level NLP systems.
- Expertise in NLP techniques, including but not limited to, tokenization, embeddings, language modeling, and sequence-to-sequence models.
- Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of software architecture, data structures, and algorithms.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
- Excellent problem-solving, debugging, and analytical skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.