591 Natural Language Processing jobs in Hyderabad
AI Research Engineer - Natural Language Processing
Posted 5 days ago
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Key Responsibilities:
- Conduct research and development in Natural Language Processing and Machine Learning.
- Design, implement, and evaluate state-of-the-art NLP models (e.g., Transformers, LSTMs, CNNs).
- Develop and deploy NLP applications for tasks such as text classification, sentiment analysis, named entity recognition, and question answering.
- Build and optimize deep learning architectures for NLP tasks.
- Collaborate with product teams to integrate NLP solutions into existing and new products.
- Process and analyze large datasets of text data.
- Stay current with the latest advancements in NLP, AI, and related fields.
- Publish research findings in relevant conferences and journals.
- Contribute to the development of internal tools and libraries for NLP.
- Work effectively in a fully remote, collaborative team environment.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of experience in AI research and development, with a specialization in NLP.
- Proven experience in developing and implementing deep learning models for NLP tasks using frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of NLP concepts, algorithms, and libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Proficiency in Python and experience with data science and machine learning libraries (e.g., scikit-learn, pandas, NumPy).
- Excellent analytical, problem-solving, and research skills.
- Strong communication and collaboration abilities, suitable for remote work.
- Experience with cloud platforms (AWS, Azure, GCP) for AI development is a plus.
Senior AI Research Scientist - Natural Language Processing
Posted today
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Responsibilities:
- Conduct state-of-the-art research in NLP, including areas such as text generation, sentiment analysis, machine translation, question answering, and information extraction.
- Design, implement, and evaluate novel NLP models and algorithms using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Collaborate with a team of AI researchers and engineers to translate research findings into deployable AI solutions.
- Stay current with the latest advancements in AI, machine learning, and NLP by reading academic papers, attending conferences, and engaging with the research community.
- Develop and maintain robust, scalable, and efficient code for AI models and experiments.
- Publish research findings in top-tier academic venues and present work at international conferences.
- Mentor junior researchers and engineers, providing technical guidance and fostering a collaborative research environment.
- Contribute to the strategic direction of the AI research roadmap, identifying new opportunities for innovation.
- Work remotely, effectively communicating and collaborating with team members across different time zones.
- Contribute to the development of intellectual property and potential patent applications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field with a strong research focus on NLP.
- 5+ years of research experience in Natural Language Processing, with a proven track record of significant contributions.
- Expertise in deep learning architectures relevant to NLP, such as Transformers, LSTMs, and CNNs.
- Proficiency in programming languages like Python and experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face).
- Strong understanding of statistical modeling, machine learning algorithms, and evaluation metrics.
- Experience with large-scale data processing and distributed computing environments.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong written and verbal communication skills, with the ability to articulate complex research concepts clearly.
- Proven ability to work independently and manage research projects effectively in a remote setting.
- A passion for advancing the field of AI and developing impactful NLP solutions.
Principal AI Research Scientist, Natural Language Processing
Posted today
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Responsibilities:
- Conduct advanced research in Natural Language Processing, Machine Learning, and Deep Learning.
- Develop and implement novel algorithms and models for tasks such as text generation, sentiment analysis, machine translation, and question answering.
- Design and execute rigorous experiments to evaluate model performance and validate research hypotheses.
- Collaborate with cross-functional teams of engineers and product managers to translate research breakthroughs into production-ready AI systems.
- Stay current with the latest advancements in AI and NLP by reading academic papers, attending conferences, and engaging with the research community.
- Publish research findings in top-tier academic venues and contribute to the company's intellectual property portfolio.
- Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Analyze large datasets to identify patterns and insights relevant to NLP tasks.
- Develop prototypes and proof-of-concepts for new AI-driven features and products.
- Contribute to the strategic direction of the AI research roadmap.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 8+ years of post-doctoral research experience in NLP and ML.
- Proven track record of high-impact research, evidenced by publications in leading conferences (e.g., NeurIPS, ICML, ACL, EMNLP) and/or patents.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python.
- Deep understanding of various NLP techniques, including transformers, RNNs, LSTMs, and attention mechanisms.
- Experience with large language models (LLMs) and their applications.
- Ability to work independently and lead research initiatives in a remote setting.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, capable of explaining complex technical concepts to diverse audiences.
Remote AI Research Scientist - Natural Language Processing
Posted 5 days ago
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AI/ML Engineer - Natural Language Processing
Posted 5 days ago
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Senior AI/ML Engineer - Natural Language Processing
Posted 1 day ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced NLP models and algorithms.
- Apply deep learning techniques (e.g., Transformers, RNNs, CNNs) to solve NLP problems.
- Perform data preprocessing, feature engineering, and model training for various NLP tasks.
- Evaluate model performance using appropriate metrics and conduct rigorous testing.
- Deploy and maintain NLP models in production environments, ensuring scalability and reliability.
- Collaborate with software engineers to integrate NLP models into applications and services.
- Conduct research on state-of-the-art NLP techniques and identify opportunities for application.
- Analyze large datasets to extract insights and inform model development.
- Optimize NLP models for efficiency, latency, and computational cost.
- Document research findings, model architectures, and implementation details.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Stay current with the latest advancements in AI, machine learning, and NLP research.
- Present findings and technical strategies to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Natural Language Processing.
- Proven experience developing and deploying NLP models for tasks such as text classification, named entity recognition, sentiment analysis, machine translation, and question answering.
- Proficiency in programming languages like Python and relevant ML/NLP libraries (e.g., TensorFlow, PyTorch, spaCy, NLTK, Hugging Face Transformers).
- Solid understanding of deep learning architectures and frameworks.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities, with experience in hybrid work environments.
- Published research or contributions to open-source NLP projects is a plus.
Senior Data Scientist, AI Research
Posted 2 days ago
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The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline, coupled with substantial experience in AI and machine learning research. Expertise in deep learning frameworks (TensorFlow, PyTorch), natural language processing (NLP), computer vision, and statistical modeling is essential. You will work with large, diverse datasets, design experiments, and translate research findings into practical applications. Strong analytical skills, a creative mindset, and the ability to collaborate effectively in a remote environment are crucial for success.
Responsibilities:
- Lead research and development of advanced AI and machine learning models.
- Design and implement algorithms for data analysis, prediction, and classification.
- Develop and fine-tune deep learning models for applications in areas like image recognition, natural language processing, or predictive analytics.
- Collaborate with domain experts to understand complex scientific problems and formulate data-driven solutions.
- Perform rigorous statistical analysis and interpret results to draw meaningful conclusions.
- Develop prototypes and proof-of-concepts for new AI applications.
- Mentor and guide junior data scientists and researchers.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Communicate research findings effectively through reports, presentations, and publications.
- Ensure code quality, reproducibility, and efficiency in data science workflows.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 7 years of experience in data science and AI/machine learning research.
- Proven track record of research and development in areas such as deep learning, NLP, or computer vision.
- Expertise in programming languages like Python and R, and proficiency with ML libraries (scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, experimental design, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills for effective remote collaboration.
- Ability to work independently, manage projects, and drive research initiatives.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
This is a unique opportunity to engage in groundbreaking research and development from a remote location, contributing to advancements in science and technology. We offer a highly competitive compensation package and a collaborative, intellectually stimulating work environment.
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AI Research Scientist
Posted 5 days ago
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Location: Hyderabad, Telangana, IN
Description:
Our client, a leader in artificial intelligence and machine learning, is seeking an innovative AI Research Scientist to join their advanced research and development team. This role focuses on pushing the boundaries of AI, exploring novel algorithms, and developing cutting-edge solutions for complex real-world problems. You will contribute to groundbreaking research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, and generative AI. Responsibilities include designing and implementing novel AI models, conducting rigorous experiments, analyzing results, and publishing findings in top-tier conferences and journals. You will collaborate with a team of world-class researchers and engineers, contributing to the development of next-generation AI technologies. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record. Expertise in programming languages such as Python and proficiency with AI frameworks like TensorFlow, PyTorch, or Keras are essential. You should have a deep understanding of machine learning theory and practical experience in applying AI techniques to solve challenging problems. Excellent analytical, critical thinking, and problem-solving skills are required, along with the ability to conceptualize and execute ambitious research projects. Strong communication skills are necessary for presenting research findings and collaborating effectively within a diverse team. This position offers a unique opportunity to work on high-impact projects, contribute to scientific advancements, and shape the future of AI. You will be involved in all stages of the research process, from ideation and hypothesis formulation to implementation and validation. The ability to stay abreast of the latest advancements in AI and to proactively identify new research directions is crucial for success in this role.
Key Responsibilities:
- Conduct cutting-edge AI research.
- Develop and implement novel machine learning algorithms.
- Design and train deep learning models.
- Analyze experimental results and publish findings.
- Collaborate with research teams and engineers.
- Stay current with AI advancements and trends.
- Ph.D. or Master's degree in AI, Machine Learning, Computer Science, or a related field.
- Strong publication record in AI/ML conferences/journals.
- Proficiency in Python and AI frameworks (TensorFlow, PyTorch).
- Deep understanding of machine learning principles.
- Excellent problem-solving and analytical skills.
AI Research Scientist
Posted 5 days ago
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Job Description
AI Research Scientist
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop and implement novel AI algorithms and models.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large datasets to extract meaningful insights and identify patterns.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Develop and maintain high-quality, well-documented code.
- Contribute to intellectual property generation 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 quantitative field.
- Proven track record of research contributions in AI/ML, evidenced by publications or significant project work.
- Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python, and libraries like TensorFlow, PyTorch, or Keras.
- Experience with big data technologies and distributed computing frameworks.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and drive research projects from conception to completion in a remote setting.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Creativity and a passion for innovation.