What Jobs are available for Prompt Engineer in Bangalore?
Showing 326 Prompt Engineer jobs in Bangalore
Principal AI Engineer - Natural Language Processing
Posted 2 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.
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AI Research Engineer - Natural Language Processing
Posted 2 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.
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AI Research Scientist - Natural Language Processing
Posted 2 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.
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Senior AI Research Scientist - Natural Language Processing
Posted today
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Senior AI Research Scientist - Natural Language Processing
Posted 2 days ago
Job Viewed
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.
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Senior AI Research Scientist - Natural Language Processing
Posted 2 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.
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Senior AI Research Scientist - Natural Language Processing
Posted 2 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.
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Lead AI Research Scientist - Natural Language Processing
Posted 2 days ago
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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 2 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.
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Senior Machine Learning Engineer, AI Product Development
Posted 2 days ago
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Job Description
Responsibilities:
- Design, develop, and deploy machine learning models and algorithms for various product features.
- Collaborate with data scientists and product managers to define ML requirements and product roadmaps.
- Build robust and scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Optimize ML models for performance, latency, and resource efficiency in production environments.
- Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), and automated monitoring.
- Work with large-scale datasets, ensuring data quality and integrity.
- Evaluate and integrate new ML technologies and frameworks to enhance product capabilities.
- Troubleshoot and resolve issues related to ML models in production.
- Mentor junior engineers and contribute to a culture of technical excellence and innovation.
- Write clean, maintainable, and well-documented code.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering, with a strong focus on product development and deployment.
- Proficiency in Python and extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience building and deploying ML models in cloud environments (AWS, Azure, GCP).
- Solid understanding of software engineering principles, data structures, and algorithms.
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow).
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and collaboration skills, essential for effective remote teamwork.
- Ability to work independently, manage priorities, and deliver high-quality results in a fast-paced setting.
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