722 Natural Language Processing jobs in Hyderabad
AI Research Scientist - Natural Language Processing
Posted 3 days ago
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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 4 days ago
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AI Research Scientist - Natural Language Processing
Posted 12 days ago
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Job Description
Responsibilities:
- Conduct theoretical and applied research in Natural Language Processing (NLP), including areas such as sentiment analysis, machine translation, text summarization, question answering, and dialogue systems.
- Develop and implement novel machine learning models and deep learning architectures for NLP tasks.
- Design and execute experiments to evaluate and validate research hypotheses and model performance.
- Analyze large-scale text data, extract features, and build robust NLP pipelines.
- Collaborate with cross-functional teams, including engineers and product managers, to translate research findings into practical applications.
- Stay abreast of the latest advancements and research trends in AI, machine learning, and NLP.
- Publish research findings in top-tier AI conferences and journals.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and engineers, sharing expertise and fostering a collaborative research environment.
- Develop and maintain high-quality, well-documented code for research prototypes and production systems.
- Evaluate and select appropriate AI/ML frameworks and tools for research and development.
- Contribute to the strategic direction of the company's AI initiatives.
- Present research findings and project updates to technical and non-technical stakeholders.
- Identify opportunities for innovation and improvement in existing AI systems.
- Ensure ethical considerations and bias mitigation are addressed in AI model development.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 4 years of research experience in Natural Language Processing, with a strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ACL, EMNLP) or journals.
- In-depth knowledge of NLP techniques, algorithms, and frameworks (e.g., transformers, LSTMs, RNNs, BERT, GPT).
- Proficiency in programming languages such as Python, and experience with ML/DL libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of statistical modeling, machine learning principles, and deep learning concepts.
- Experience in data preprocessing, feature engineering, and model evaluation for text data.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and interpersonal skills, with the ability to effectively present complex research.
- Ability to work both independently and collaboratively in a hybrid work environment.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing is a plus.
Senior AI Research Scientist - Natural Language Processing
Posted 1 day ago
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The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a strong specialization in NLP. A proven track record of research excellence, demonstrated through publications, patents, or significant contributions to open-source AI projects, is essential. You should have extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch), programming languages like Python, and NLP libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). A deep understanding of transformer architectures, recurrent neural networks, and other advanced NLP techniques is required. You must be a self-starter, capable of working independently in a remote setting, with excellent analytical, problem-solving, and communication skills. This is a unique opportunity to work on challenging problems with significant real-world impact, surrounded by a brilliant team of AI experts. We are looking for individuals who are passionate about shaping the future of AI and NLP.
Senior AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Lead AI Research Scientist - Natural Language Processing
Posted 16 days ago
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You will lead research initiatives, design and implement advanced NLP algorithms, and contribute to the development of large-scale language models. Your work will involve exploring novel architectures, developing robust evaluation methodologies, and collaborating with engineering teams to deploy state-of-the-art NLP capabilities into production environments. This includes focusing on areas such as sentiment analysis, machine translation, text summarization, question answering, and conversational AI. The role demands a deep theoretical understanding and practical expertise in machine learning, deep learning, and statistical NLP techniques.
We are seeking individuals with a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a strong publication record in top-tier AI/NLP conferences and journals. A minimum of 7 years of relevant research experience is required, with at least 3 years in a leadership or principal investigator role. Proficiency in programming languages like Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras are essential. You should have demonstrated experience with large datasets and distributed computing environments. The ability to conceptualize, design, and execute complex research projects independently, as well as mentor junior researchers, is crucial.
Key Responsibilities:
- Lead the research and development of advanced NLP models and algorithms.
- Design and implement novel deep learning architectures for language understanding and generation.
- Conduct experiments, analyze results, and publish findings in leading conferences/journals.
- Collaborate with cross-functional teams to integrate research breakthroughs into product roadmaps.
- Mentor and guide junior research scientists and engineers.
- Stay abreast of the latest advancements in AI, machine learning, and NLP.
- Contribute to the strategic direction of the AI research roadmap.
- Ph.D. or M.S. in AI, NLP, Computer Science, or related field.
- 7+ years of research experience, with leadership experience.
- Expertise in deep learning, NLP, and machine learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong publication record in top venues.
- Excellent problem-solving and analytical skills.
- Experience with large-scale data processing and distributed systems.
Senior AI/ML Engineer - Natural Language Processing
Posted 14 days ago
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Key Responsibilities:
- Design, develop, and deploy state-of-the-art NLP models for tasks such as sentiment analysis, named entity recognition, machine translation, text summarization, and question answering.
- Build and maintain large-scale datasets for training and evaluating NLP models.
- Research and implement novel algorithms and techniques to improve model performance, accuracy, and efficiency.
- Collaborate with data scientists, software engineers, and product managers to integrate NLP capabilities into various applications and platforms.
- Optimize machine learning models for deployment in production environments, considering scalability, latency, and resource constraints.
- Stay current with the latest advancements in NLP, deep learning, and related fields.
- Conduct experiments, analyze results, and present findings to technical and non-technical stakeholders.
- Mentor junior engineers and contribute to the team's knowledge sharing and best practices.
- Contribute to the development of internal tools and frameworks for NLP development.
- Ensure responsible AI development practices, addressing bias and fairness in models.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying NLP models in production.
- Strong proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Deep understanding of machine learning algorithms, deep learning architectures (e.g., RNNs, LSTMs, Transformers), and their application to NLP.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and debugging skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts effectively.
- Ability to work independently and as part of a team in a hybrid work environment.
- Proven experience in large-scale data processing and model training.
This is a unique opportunity to work on challenging problems at the intersection of AI and language, contributing to impactful technological advancements.
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Principal Data Scientist - AI Research
Posted 9 days ago
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AI Research Scientist - Machine Learning
Posted today
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Key responsibilities include designing and conducting research experiments, publishing findings in top-tier scientific venues, and contributing to the development of intellectual property. You will work with large datasets, explore cutting-edge ML techniques (deep learning, reinforcement learning, natural language processing, computer vision, etc.), and develop robust, scalable AI models. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record and hands-on experience in implementing and evaluating AI models. Proficiency in programming languages such as Python, and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn, are essential.
We are looking for a curious and analytical mind with exceptional problem-solving skills and the ability to think creatively and critically. This position offers a hybrid work model, fostering collaboration with team members while providing flexibility. You will contribute to groundbreaking projects, collaborate with world-class researchers and engineers, and have access to state-of-the-art computational resources. This is an unparalleled opportunity to shape the future of AI and contribute to significant technological advancements in a fast-paced, intellectually stimulating environment. Join us and be part of a team that is revolutionizing industries through intelligent systems.
Qualifications:
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven research experience in Machine Learning, Deep Learning, NLP, or Computer Vision, evidenced by publications in reputable conferences/journals.
- Strong programming skills in Python and experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Expertise in data analysis, model development, and algorithm design.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Ability to work effectively in a hybrid research and development environment.
- Experience with large-scale data processing and distributed computing is a plus.
- Passion for staying abreast of the latest advancements in AI and ML.
AI Research Scientist - Machine Learning
Posted 12 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Design, develop, and implement novel ML algorithms and models.
- Analyze and interpret large datasets to extract meaningful insights.
- Evaluate model performance and optimize solutions for efficiency and accuracy.
- Collaborate with cross-functional teams on AI-driven projects.
- Stay current with AI/ML research trends and publications.
- Contribute to research papers, patents, and technical documentation.
- Develop prototypes and proof-of-concepts for new AI applications.
- Mentor junior researchers and engineers on ML techniques.
- Communicate research findings effectively to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and development in machine learning.
- Expertise in one or more areas of ML (e.g., deep learning, NLP, CV, RL).
- Strong programming skills in Python and proficiency with ML frameworks (TensorFlow, PyTorch).
- Experience with data analysis and statistical modeling.
- Familiarity with cloud platforms and big data technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities for remote work.