644 Natural Language Processing jobs in Hyderabad
Natural Language Processing Engineer
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Roles and responsibilities
- Design, develop, and maintain backend infrastructure for PaaS, enabling scalable, cloud-native, and elastic graph database services.
- Contribute to SaaS feature development, architecture design, and operational support for enterprise-grade deployments
- SaaS product Cloud Billing
- Cloud org/user management
- Cloud stack/DB monitoring/alerting
- Cloud GUI (admin portal, graph insights)
- Cloud Kubernetes Management
Proficiency:
- At least one of Go, Java, C++, Python, C
- JAVA ANTLR is a must
- building microservice architectures and large-scale distributed systems
- Experience with at least one relational database (MySQL, Postgres or equivalent)
- AWS/GCP tech stack
- Linux/Unix systems and scripting
- K8S
- Cloud computing
Nice to have
- Experience with container technologies and Kubernetes
- Familiarity with cloud operations, experience or ability to respond to operational issues
- Cloud platform certifications (AWS, Azure, GCP)
AI Research Scientist - Natural Language Processing
Posted 15 days ago
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Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas like sentiment analysis, machine translation, question answering, text summarization, and dialogue systems.
- Develop and implement novel deep learning models and algorithms for NLP tasks.
- Design and execute experiments to evaluate the performance of NLP models.
- Analyze research findings and prepare high-quality academic publications and presentations.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements and research trends in NLP and AI.
- Mentor junior researchers and interns, fostering a collaborative research environment.
- Contribute to the development of intellectual property and research roadmaps.
- Engage with the broader AI research community through publications and presentations.
- Ensure research activities align with the company's strategic objectives.
AI Research Scientist - Natural Language Processing
Posted 15 days ago
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Job Description
Responsibilities:
- Conduct research and development in NLP, including areas such as text classification, sentiment analysis, named entity recognition, machine translation, question answering, and text generation.
- Design, implement, and evaluate novel NLP models and algorithms using deep learning frameworks.
- Collaborate with other AI researchers and engineers to integrate NLP capabilities into larger AI systems and products.
- Process and analyze large volumes of textual data to extract meaningful insights and prepare data for model training.
- Stay current with the latest research publications and trends in NLP and machine learning.
- Develop and maintain efficient and scalable NLP pipelines and tools.
- Publish research findings in top-tier conferences and journals, and contribute to the broader AI community.
- Work closely with product teams to understand requirements and translate research ideas into practical applications.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Participate in code reviews and provide constructive feedback to peers.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a focus on NLP.
- Proven research experience in NLP, demonstrated through publications, contributions to open-source projects, or relevant industry experience.
- Strong theoretical and practical understanding of machine learning and deep learning techniques, particularly those relevant to NLP (e.g., transformers, LSTMs, RNNs, CNNs).
- Proficiency in programming languages such as Python.
- Experience with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers, TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex research concepts.
- Ability to work both independently and collaboratively in a research-oriented team environment.
- A proactive approach to research and a keen interest in exploring new ideas.
AI Research Scientist - Natural Language Processing
Posted 15 days ago
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Senior AI Research Scientist - Natural Language Processing
Posted today
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Key Responsibilities:
- Conduct advanced research in Natural Language Processing, including areas such as text generation, sentiment analysis, machine translation, question answering, and information extraction.
- Develop, implement, and evaluate novel machine learning and deep learning models for NLP tasks.
- Design and execute experiments to test hypotheses, validate algorithms, and measure performance improvements.
- Stay abreast of the latest research and advancements in AI, NLP, and related fields, contributing to the scientific community through publications in top-tier conferences and journals.
- Collaborate with a remote team of researchers, engineers, and product managers to translate research findings into practical applications and products.
- Develop prototypes and proof-of-concepts for new AI-driven features and functionalities.
- Analyze large-scale datasets to identify patterns, extract insights, and inform model development.
- Write high-quality technical documentation, research papers, and presentations.
- Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning within the remote team.
- Contribute to the overall AI strategy and roadmap of the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field with a strong focus on NLP.
- 5+ years of hands-on research experience in Natural Language Processing, with a proven track record of significant contributions.
- Deep understanding of fundamental machine learning concepts and expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Extensive experience with NLP techniques, libraries (e.g., Hugging Face Transformers, spaCy, NLTK), and models (e.g., BERT, GPT, LSTM, CNNs).
- Proficiency in programming languages such as Python, and experience with relevant scientific computing libraries.
- Proven ability to conduct independent research, publish in leading venues, and present technical findings.
- Strong analytical and problem-solving skills with a rigorous scientific approach.
- Excellent written and verbal communication skills, adept at conveying complex technical information to diverse audiences in a remote setting.
- Experience working collaboratively in a distributed, remote team environment.
- A strong portfolio of NLP projects and contributions is highly desirable.
Senior AI Research Scientist - Natural Language Processing
Posted 8 days ago
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The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a minimum of 5 years of hands-on research experience in NLP. A strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL) is highly desirable. You should be proficient in Python and have extensive experience with popular deep learning frameworks like TensorFlow, PyTorch, or JAX. Experience with large language models (LLMs), transformer architectures, and fine-tuning pre-trained models is essential.
Your responsibilities will include conducting theoretical and applied research in NLP, identifying new research directions, and translating research findings into practical applications. You will collaborate closely with other researchers, engineers, and product managers in a globally distributed, remote-first environment. This includes designing experiments, analyzing results, and communicating findings effectively through technical reports, presentations, and publications. We are looking for individuals who are passionate about AI, possess strong problem-solving skills, and thrive in a collaborative, fast-paced research setting. The ability to work independently and manage multiple projects simultaneously is crucial. If you are a motivated researcher eager to make a significant impact in the field of AI and NLP, we encourage you to apply. This role offers the flexibility of a fully remote position, allowing you to work from anywhere in India while contributing to groundbreaking AI advancements. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus. Join us to shape the future of intelligent systems.
Senior AI Research Scientist - Natural Language Processing
Posted 15 days ago
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Job Description
Key Responsibilities:
- Conduct advanced research in Natural Language Processing, including but not limited to, sentiment analysis, topic modeling, machine translation, question answering, text summarization, and dialogue systems.
- Design, develop, and implement novel NLP algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Stay current with the latest research publications and industry trends in AI and NLP.
- Collaborate with cross-functional teams to integrate AI models into product roadmaps and applications.
- Propose and lead new research initiatives, defining project goals and methodologies.
- Analyze large datasets to extract insights and train AI models effectively.
- Develop and maintain high-quality, production-ready code for AI models and systems.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and engineers in the AI/ML space.
- Evaluate and benchmark the performance of NLP models against established metrics.
- Contribute to the intellectual property portfolio through patents and publications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a specialization in NLP.
- 5+ years of hands-on research experience in Natural Language Processing.
- Strong proficiency in programming languages such as Python.
- Extensive experience with deep learning frameworks like TensorFlow, PyTorch, Keras.
- Deep understanding of core NLP concepts, algorithms, and state-of-the-art techniques (e.g., Transformers, BERT, GPT).
- Experience with data preprocessing, feature engineering, and model evaluation for NLP tasks.
- Proven track record of publishing research in reputable AI/NLP venues.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote, fast-paced research environment.
- Strong communication skills, with the ability to explain complex technical concepts clearly.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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Lead AI Research Scientist - Natural Language Processing
Posted 15 days ago
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Remote AI Research Scientist - Natural Language Processing
Posted 15 days ago
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Key Responsibilities:
- Conduct fundamental and applied research in Natural Language Processing, focusing on areas such as language understanding, generation, translation, and sentiment analysis.
- Design, develop, and implement state-of-the-art NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experiment with novel algorithms and techniques to advance the state-of-the-art in NLP.
- Process and analyze large-scale text datasets to extract meaningful insights and train models.
- Collaborate with other AI researchers, software engineers, and product managers to integrate research findings into innovative products and services.
- Publish research findings in leading AI conferences and journals.
- Stay abreast of the latest advancements in NLP, machine learning, and artificial intelligence.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of new ideas.
- Contribute to the team's knowledge base and mentor junior researchers.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field.
- Proven track record of research and development in Natural Language Processing, demonstrated through publications, patents, or open-source contributions.
- Strong theoretical foundation in machine learning, deep learning, and statistical modeling.
- Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Hands-on experience with deep learning frameworks like TensorFlow or PyTorch.
- Experience with large language models (LLMs) and transformer architectures.
- Excellent problem-solving skills, creativity, and a passion for scientific inquiry.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, distributed team environment.
- Ability to independently drive research projects from conception to completion.
Senior AI Research Engineer, Natural Language Processing
Posted 15 days ago
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Job Description
Responsibilities:
- Conduct research and develop novel algorithms and models for NLP tasks such as text classification, sentiment analysis, named entity recognition, machine translation, question answering, and text generation.
- Design, implement, and evaluate deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Process and analyze large-scale text datasets, including data cleaning, feature engineering, and annotation.
- Develop and deploy NLP models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with product managers, software engineers, and other researchers to integrate AI capabilities into various applications.
- Stay abreast of the latest advancements in AI, NLP, and machine learning research through literature review and conference participation.
- Publish research findings in top-tier AI/NLP conferences and journals.
- Mentor junior researchers and engineers, fostering a collaborative and innovative research culture.
- Optimize model performance for efficiency and speed.
- Explore and experiment with new NLP techniques, including transformer-based architectures (e.g., BERT, GPT) and other cutting-edge methods.
- Contribute to the design of AI infrastructure and tooling to support research and development efforts.
- Develop and maintain robust evaluation metrics and frameworks for NLP models.
- Participate in code reviews and provide constructive feedback to peers.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 5 years of relevant research and development experience in NLP and machine learning.
- Strong theoretical foundation and practical experience in deep learning for NLP.
- Proficiency in programming languages such as Python.
- Expertise with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Demonstrated experience with large language models (LLMs) and transformer architectures.
- Experience with data processing and analysis of unstructured text data.
- Strong understanding of algorithms, data structures, and software development best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP) are highly desirable.
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads is a plus.
- Ability to work independently and drive projects to completion in a remote setting.
This fully remote position offers a highly competitive salary, excellent benefits, and the opportunity to work on groundbreaking AI research.