645 Natural Language Processing jobs in Noida
Machine Learning Engineer, Natural Language Processing
Posted 11 days ago
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Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art NLP models for tasks such as text classification, sentiment analysis, named entity recognition, question answering, and machine translation.
- Preprocess and clean large volumes of text data, ensuring its suitability for model training.
- Train, evaluate, and fine-tune machine learning models using various frameworks and libraries.
- Deploy NLP models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with software engineers to integrate NLP capabilities into existing applications and platforms.
- Conduct research on new NLP techniques and algorithms, evaluating their potential applications.
- Analyze model performance, identify areas for improvement, and implement necessary optimizations.
- Stay abreast of the latest research papers, industry trends, and advancements in NLP and deep learning.
- Work with large datasets and distributed computing frameworks.
- Document models, algorithms, and experimental results clearly and concisely.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 4-7 years of experience in machine learning, with a specialization in Natural Language Processing.
- Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, or Keras.
- Deep understanding of NLP techniques, including tokenization, stemming, lemmatization, word embeddings (Word2Vec, GloVe), and transformer models (BERT, GPT).
- Experience with libraries like NLTK, SpaCy, Hugging Face Transformers.
- Proven ability to develop, train, and deploy ML models in production.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts.
Senior AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct pioneering research in Natural Language Processing, exploring new algorithms, models, and techniques.
- Develop and implement advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, question answering, and summarization.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Hugging Face Transformers, spaCy) to build and train models.
- Design and execute experiments to evaluate model performance and identify areas for improvement.
- Stay abreast of the latest research and developments in NLP, machine learning, and artificial intelligence.
- Publish research findings in top-tier conferences and journals.
- Collaborate with a team of world-class researchers and engineers to translate research into practical applications.
- Contribute to the development of our client's AI product roadmap.
- Mentor junior researchers and contribute to a culture of scientific excellence and collaboration.
- Ensure the ethical and responsible application of NLP technologies.
- Optimize models for efficiency and scalability in production environments.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
- Extensive research experience in Natural Language Processing, demonstrated through publications in leading NLP/AI conferences (e.g., ACL, EMNLP, NeurIPS).
- Deep understanding of modern NLP techniques, including transformer architectures, attention mechanisms, and language embeddings.
- Proficiency in programming languages such as Python.
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and NLP libraries.
- Experience with large-scale text data processing and analysis.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent verbal and written communication skills, with the ability to clearly articulate complex technical concepts.
- Ability to work independently and collaboratively in a remote, global team setting.
This is an unparalleled opportunity to be at the forefront of NLP research and development. You will have the chance to make a significant impact on the future of how humans interact with technology. Join our client's dynamic and innovative research team in a fully remote capacity. Our client is an equal opportunity employer and celebrates diversity.
Senior AI Research Scientist - Natural Language Processing
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Lead research initiatives in areas such as deep learning, transfer learning, and transformer architectures for NLP tasks like sentiment analysis, machine translation, text summarization, and question answering.
- Design, develop, and implement novel algorithms and models to solve complex NLP challenges.
- Conduct rigorous experimentation, evaluate model performance, and iterate on solutions for optimal results.
- Collaborate closely with software engineers to translate research prototypes into production-ready systems.
- Stay abreast of the latest advancements in AI, machine learning, and NLP through literature review and conference participation.
- Mentor junior researchers and contribute to the team's knowledge sharing and technical growth.
- Publish research findings in top-tier conferences and journals.
- Contribute to the strategic direction of AI research within the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of at least 5 years of hands-on research experience in NLP.
- Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages, particularly Python.
- Deep understanding of statistical modeling, machine learning algorithms, and their application to NLP problems.
- Experience with large-scale datasets and distributed computing environments is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration abilities to work effectively in a remote team environment.
- A passion for innovation and a desire to make a significant impact in the field of AI.
Senior AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Job Description
Responsibilities:
- Conduct advanced research in Natural Language Processing (NLP), machine learning, and deep learning.
- Develop, train, and evaluate novel NLP models for tasks such as text classification, entity recognition, question answering, summarization, and machine translation.
- Design and implement experiments to benchmark and improve model performance.
- Stay current with academic research and industry trends in AI and NLP.
- Collaborate with engineering teams to deploy models into production systems.
- Write technical documentation and present findings to both technical and non-technical audiences.
- Mentor junior researchers and engineers.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- 5+ years of hands-on experience in NLP research and development.
- Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of machine learning algorithms and statistical modeling.
- Demonstrated experience with large-scale datasets and distributed computing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with experience working in remote teams.
Senior AI Research Scientist - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in NLP, including areas such as text generation, sentiment analysis, machine translation, question answering, and information extraction.
- Develop and implement novel NLP models and algorithms using state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and execute experiments to evaluate model performance, analyze results, and iterate on research directions.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications and features.
- Publish research findings in top-tier AI conferences and journals.
- Stay abreast of the latest advancements in NLP, machine learning, and artificial intelligence.
- Mentor junior researchers and contribute to the scientific growth of the team.
- Contribute to the development of robust and scalable AI solutions.
- Explore and identify new research opportunities and potential applications for NLP technologies.
- Contribute to the ethical considerations and responsible development of AI systems.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on NLP.
- Minimum of 5-7 years of hands-on research experience in NLP and deep learning.
- Proven track record of research publications in top AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning architectures for NLP, such as Transformers, LSTMs, CNNs, and their applications.
- Proficiency in programming languages like Python and experience with ML libraries (TensorFlow, PyTorch, Hugging Face Transformers).
- Strong understanding of mathematical concepts underlying machine learning and NLP.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently, manage complex research projects, and drive innovation in a remote setting.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
- Experience with large-scale data processing and distributed computing is a plus.
This is an exceptional opportunity for a leading AI researcher to work on challenging problems, contribute to state-of-the-art AI development, and shape the future of technology, all within a flexible remote work environment.
Senior AI Research Scientist - Natural Language Processing
Posted 9 days ago
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Job Description
Responsibilities will include designing and conducting rigorous experiments to evaluate model performance, publishing research findings in top-tier conferences and journals, and collaborating closely with engineering teams to integrate research prototypes into production systems. You will mentor junior researchers, contribute to grant proposals, and stay abreast of the latest advancements in the field of AI and NLP. The ideal candidate possesses a deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch), extensive experience with Python, and a proven track record of delivering impactful NLP solutions. We are looking for a proactive problem-solver with a passion for discovery and a commitment to excellence. This is an exciting opportunity to work in a dynamic environment with access to state-of-the-art computational resources and a collaborative team of world-class researchers and engineers. Your contributions will be vital in defining new paradigms in artificial intelligence.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of relevant research experience in NLP.
- Strong theoretical and practical understanding of NLP techniques, including transformers, RNNs, LSTMs, and attention mechanisms.
- Proficiency in Python and deep learning libraries like TensorFlow, PyTorch, or Keras.
- Experience with large-scale data processing and model training.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively both independently and as part of a collaborative team.
- Publication record in reputable AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS) is a strong plus.
Lead AI Research Scientist - Natural Language Processing
Posted 13 days ago
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Job Description
Responsibilities:
- Lead and mentor a team of AI researchers and engineers focused on NLP.
- Design, develop, and implement state-of-the-art NLP models and algorithms, including deep learning architectures (e.g., Transformers, RNNs, LSTMs).
- Conduct groundbreaking research in areas such as sentiment analysis, machine translation, question answering, text summarization, and dialogue systems.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with product teams to integrate research prototypes into production-ready AI solutions.
- Stay current with the latest academic research and industry trends in NLP and machine learning.
- Develop and manage research roadmaps, setting ambitious yet achievable goals for the NLP team.
- Evaluate and benchmark the performance of NLP models rigorously.
- Contribute to the intellectual property portfolio through patents and publications.
- Foster a culture of innovation, collaboration, and continuous learning within the research group.
Qualifications:
- Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
- 5+ years of demonstrated experience in NLP research and development, with a strong publication record.
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python.
- Experience with large language models (LLMs) and their applications.
- Strong understanding of linguistic principles and their application in NLP.
- Proven ability to lead research projects and mentor junior scientists.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex research ideas effectively.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
This is a unique opportunity to work on challenging problems at the intersection of AI and language, contributing to impactful technological advancements. The hybrid nature of this role allows for engagement with our state-of-the-art facilities in Ghaziabad while providing personal flexibility.
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Senior AI Research Scientist - Natural Language Processing
Posted 14 days ago
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Job Description
Key Responsibilities:
- Conduct fundamental and applied research in NLP, focusing on areas such as machine translation, sentiment analysis, question answering, text summarization, and conversational AI.
- Develop and implement novel deep learning models and algorithms for NLP tasks.
- Design and execute experiments to evaluate the performance of NLP models.
- Stay current with the latest advancements in NLP research, machine learning, and deep learning.
- Publish research findings in top-tier conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Mentor junior researchers and contribute to the intellectual growth of the team.
- Explore new research directions and identify opportunities for innovation.
- Contribute to the development of intellectual property and patents.
- Present research findings internally and externally to diverse audiences.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
- Minimum of 5 years of post-doctoral or industry research experience in NLP.
- Proven track record of significant contributions to NLP research, demonstrated by publications in leading venues (e.g., ACL, EMNLP, NeurIPS).
- Deep understanding of statistical learning, deep learning, and transformer architectures.
- Proficiency in programming languages such as Python and in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and model training.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and collaboratively in a remote research environment.
- Experience with distributed training and cloud computing platforms is a plus.
Senior AI Research Scientist - Natural Language Processing
Posted 17 days ago
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Job Description
Responsibilities:
- Conduct fundamental and applied research in NLP, including areas such as sentiment analysis, machine translation, question answering, text generation, and dialogue systems.
- Develop, implement, and evaluate novel NLP models and techniques, leveraging deep learning frameworks (e.g., TensorFlow, PyTorch).
- Collaborate with engineering teams to deploy AI models into production environments, ensuring scalability, efficiency, and reliability.
- Stay abreast of the latest advancements in AI, NLP, and machine learning through literature review, conference participation, and academic engagement.
- Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
- Design and execute experiments to validate research hypotheses and measure the performance of AI models.
- Publish research findings in top-tier AI and NLP conferences and journals.
- Contribute to the strategic roadmap for AI and NLP development within the organization.
- Work with large-scale datasets, employing data preprocessing and feature engineering techniques.
- Analyze research results and provide clear, concise reports to stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Proven track record of research and development in NLP, evidenced by publications, patents, or significant contributions to open-source projects.
- Strong theoretical understanding and practical experience with deep learning architectures (e.g., Transformers, LSTMs, CNNs) and their applications to NLP tasks.
- Proficiency in programming languages such as Python and experience with ML libraries (e.g., scikit-learn, spaCy, NLTK).
- Experience with cloud platforms (AWS, GCP, Azure) for AI model training and deployment.
- Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
- A passion for pushing the boundaries of AI and a desire to make a significant impact.
Senior AI Research Scientist - Natural Language Processing
Posted 18 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas like text classification, sentiment analysis, named entity recognition, machine translation, and text generation.
- Develop and implement novel algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and execute experiments to evaluate model performance and identify areas for improvement.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI, NLP, and machine learning by reading research papers and attending conferences.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to the team's knowledge sharing.
- Define research roadmaps and contribute to the strategic direction of AI initiatives.
- Analyze large datasets to extract meaningful insights and train models.
- Present research results and project progress to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field.
- Minimum of 5 years of post-graduate research experience in NLP.
- Proven expertise in developing and deploying NLP models and algorithms.
- Strong programming skills in Python and experience with ML/DL libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Deep understanding of various NLP techniques, including transformers, recurrent neural networks (RNNs), and convolutional neural networks (CNNs).
- Experience with large language models (LLMs) and their applications.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts.
- Ability to work independently and lead research projects in a remote setting.
- Track record of publications in reputable AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS).
This is an exceptional opportunity for a dedicated AI researcher to make a significant impact on the future of artificial intelligence, working remotely to support our client's ambitious goals in Noida, Uttar Pradesh, IN .