377 Language Technology jobs in India
Lead AI Engineer - Natural Language Processing
Posted today
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of advanced NLP models (e.g., transformers, LSTMs, BERT, GPT).
- Develop and optimize algorithms for tasks such as text classification, sentiment analysis, named entity recognition, question answering, and machine translation.
- Build and maintain robust data pipelines for training and evaluating NLP models.
- Collaborate with product managers, data scientists, and software engineers to integrate AI solutions into existing and new products.
- Evaluate and select appropriate machine learning frameworks and tools.
- Mentor and guide junior AI engineers, fostering a culture of technical excellence and continuous learning.
- Stay current with the latest research and advancements in AI, NLP, and machine learning.
- Present technical findings and project progress to stakeholders.
- Contribute to the overall AI strategy and roadmap.
- Ensure the scalability, reliability, and performance of deployed AI systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying NLP models in a production environment.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Expertise in various NLP techniques and frameworks (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with large language models (LLMs) and their applications.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Proven ability to lead technical projects and mentor team members.
- Excellent problem-solving skills and the ability to work effectively in a fast-paced, remote setting.
- Strong communication skills, both written and verbal.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Principal AI Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
Responsibilities:
- Lead research initiatives in cutting-edge NLP areas, including but not limited to, large language models (LLMs), transformer architectures, sentiment analysis, machine translation, information extraction, and dialogue systems.
- Design, implement, and evaluate novel algorithms and models for various NLP applications.
- Develop and maintain robust data pipelines for training and evaluating NLP models, ensuring data quality and scalability.
- Collaborate with software engineering teams to deploy research prototypes into production systems.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior scientists and engineers, fostering a collaborative and innovative research environment.
- Stay abreast of the latest research trends and advancements in AI and NLP, and identify opportunities for innovation.
- Contribute to the strategic direction of the AI research roadmap.
- Present research results to technical and non-technical audiences.
- Engage with the broader AI community through contributions to open-source projects or academic initiatives.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in NLP and deep learning.
- Demonstrated track record of innovation and publications in top NLP/AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages such as Python, and libraries like Hugging Face Transformers, spaCy, NLTK.
- Strong theoretical understanding of machine learning algorithms, statistical modeling, and deep neural networks.
- Experience with large-scale data processing and distributed computing frameworks (e.g., Spark).
- Excellent analytical, problem-solving, and research skills.
- Exceptional communication and presentation abilities.
- Ability to work independently and as part of a remote, globally distributed team.
AI Research Engineer - Natural Language Processing
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct research into state-of-the-art NLP techniques, including but not limited to transformer models, large language models (LLMs), sentiment analysis, named entity recognition, and machine translation.
- Develop, train, and fine-tune NLP models for various applications, such as chatbots, text summarization, question answering, and content generation.
- Implement and optimize NLP algorithms for performance and scalability in production environments.
- Collaborate with data scientists, software engineers, and product managers to integrate NLP capabilities into our products and services.
- Stay current with the latest advancements in AI, machine learning, and NLP research through academic papers and conferences.
- Design and conduct experiments to evaluate model performance and identify areas for improvement.
- Contribute to the development of internal tools and libraries to accelerate NLP research and development.
- Document research findings, methodologies, and model architectures.
- Present research results and technical designs to both technical and non-technical audiences.
- Mentor junior researchers and engineers on NLP best practices.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Proven experience (3+ years) in developing and deploying NLP models in a research or commercial setting.
- Strong programming skills in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, or Keras.
- Deep understanding of NLP concepts, algorithms, and libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Experience with large language models (LLMs) and prompt engineering is highly desirable.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and research skills.
- Strong communication and collaboration abilities, capable of working effectively in a remote, distributed team.
- Ability to work independently, manage time effectively, and drive projects to completion.
- Experience with data preprocessing and feature engineering for text data.
Principal AI Engineer - Natural Language Processing
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and deployment of large-scale NLP models and applications, ensuring scalability, reliability, and performance.
- Architect robust NLP pipelines, incorporating techniques such as text classification, named entity recognition, topic modeling, summarization, and question answering.
- Champion the adoption of state-of-the-art NLP research and technologies, including transformer models (BERT, GPT variants), attention mechanisms, and transfer learning.
- Collaborate closely with AI researchers, data scientists, and software engineers to translate research concepts into production-ready systems.
- Provide technical leadership and mentorship to a team of AI engineers, fostering a culture of innovation, code quality, and best practices.
- Define and implement best practices for NLP model training, evaluation, and deployment, including MLOps for NLP.
- Optimize NLP models for efficiency and performance in production environments, considering latency, memory footprint, and computational cost.
- Identify and address complex challenges in areas like low-resource NLP, cross-lingual NLP, and ethical AI considerations in language processing.
- Contribute to the strategic roadmap for AI and NLP initiatives within the organization.
- Stay abreast of the latest advancements in NLP research and industry trends, evaluating their applicability to our business needs.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- 10+ years of professional experience in AI/ML engineering, with a significant specialization in NLP.
- Proven track record of successfully designing, building, and deploying production-grade NLP systems.
- Deep expertise in Python and core NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and transformer architectures.
- Strong understanding of linguistic principles and various NLP tasks.
- Experience with cloud platforms (AWS, GCP, Azure) and associated ML services.
- Proficiency in software engineering best practices, including version control (Git), CI/CD, and testing methodologies.
- Excellent leadership, communication, and interpersonal skills, with the ability to influence technical direction.
- Experience with distributed systems and big data technologies is a plus.
AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Job Description
Responsibilities:
- Conduct groundbreaking research in Natural Language Processing, focusing on areas such as sentiment analysis, machine translation, text summarization, and question answering.
- Develop, implement, and evaluate advanced NLP models using state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and execute experiments to test hypotheses, validate algorithms, and measure performance improvements.
- Stay current with the latest advancements in AI, machine learning, and NLP research by reading academic papers, attending conferences, and engaging with the research community.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into deployable AI solutions.
- Contribute to the development of intellectual property, including patents and publications in top-tier conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of learning and innovation.
- Analyze and interpret large datasets to extract meaningful insights and inform model development.
- Present research findings clearly and effectively to both technical and non-technical audiences.
- Contribute to the strategic direction of the AI research roadmap.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field.
- 3+ years of research experience in Natural Language Processing.
- Proven track record of publications in leading AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Strong programming skills in Python and experience with relevant libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- In-depth knowledge of deep learning architectures (e.g., LSTMs, Transformers, BERT) and their application to NLP tasks.
- Experience with large-scale data processing and distributed computing frameworks.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a collaborative research team.
AI Research Scientist - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct groundbreaking research in Natural Language Processing and Machine Learning.
- Develop and implement novel algorithms and models for language understanding, generation, and translation.
- Design and execute rigorous experiments to evaluate model performance.
- Analyze large datasets to extract meaningful insights and identify patterns.
- Collaborate with cross-functional teams, including engineers and product managers, to integrate research findings into products.
- Publish research results in leading AI conferences and journals.
- Stay abreast of the latest advancements in NLP, deep learning, and related fields.
- Mentor junior researchers and contribute to the team's knowledge base.
- Contribute to the strategic direction of the AI research roadmap.
- Develop prototypes and proofs-of-concept for new NLP applications.
- Ensure the ethical and responsible development of AI technologies.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- Proven track record of research contributions in NLP, demonstrated through publications in top conferences (e.g., ACL, EMNLP, NeurIPS) and journals.
- Deep understanding of machine learning principles and deep learning architectures, especially transformer models and RNNs.
- Proficiency in programming languages such as Python and ML frameworks like TensorFlow or PyTorch.
- Experience with large-scale data processing and analysis.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to present complex technical information clearly.
- Ability to work independently and as part of a collaborative research team.
- Passion for innovation and a drive to contribute to the field of AI.
AI Research Scientist - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct advanced research in Natural Language Processing, including areas such as text generation, sentiment analysis, machine translation, and question answering.
- Develop and implement novel AI algorithms and deep learning models using frameworks like TensorFlow or PyTorch.
- Design and execute rigorous experiments to evaluate the performance of NLP models.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with cross-functional teams to integrate AI solutions into product roadmaps.
- Stay abreast of the latest advancements and trends in AI and NLP research.
- Mentor junior researchers and contribute to the overall knowledge base of the team.
- Contribute to the development of proprietary AI technologies and intellectual property.
- Engage in scientific discussions and contribute to the strategic direction of our AI research efforts.
- Optimize AI models for performance, scalability, and efficiency.
- Develop and maintain high-quality, well-documented code for AI research and development.
- Present research findings to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Proven experience in Natural Language Processing research and development.
- Strong proficiency in programming languages such as Python.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Demonstrated ability to publish in leading AI conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, etc.).
- Solid understanding of machine learning principles, statistical modeling, and algorithms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Ability to work independently and manage research projects effectively.
- Experience with large-scale data processing and distributed computing is a plus.
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Lead AI Engineer - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and implementation of cutting-edge NLP models and applications.
- Architect scalable and robust AI systems for natural language understanding and generation.
- Mentor and guide a team of AI engineers, fostering their technical growth and project delivery.
- Collaborate with product managers and stakeholders to define project requirements and roadmaps.
- Research and integrate state-of-the-art NLP techniques and libraries.
- Optimize NLP models for performance, accuracy, and efficiency in production environments.
- Develop and maintain APIs for NLP services.
- Drive best practices in AI/ML development, including MLOps, testing, and deployment.
- Contribute to the company's intellectual property through patents and publications.
- Ensure the ethical development and deployment of AI technologies.
- Master's or Ph.D. in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong focus on NLP (5+ years in NLP).
- Demonstrated experience leading technical teams and projects.
- Deep understanding of NLP concepts, including transformers, LSTMs, attention mechanisms, and language models (e.g., BERT, GPT).
- Proficiency in Python and relevant NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with deep learning frameworks (PyTorch, TensorFlow).
- Experience deploying ML models into production using cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and communication skills, crucial for remote team collaboration.
- Strong leadership qualities and the ability to inspire and motivate a team.
AI Research Scientist - Natural Language Processing
Posted 3 days ago
Job Viewed
Job Description
AI Research Scientist - Natural Language Processing
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct fundamental and applied research in Natural Language Processing, including areas such as sentiment analysis, text generation, machine translation, question answering, and information extraction.
- Design, develop, and implement novel NLP models and algorithms using state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experiment with and fine-tune large language models (LLMs) for specific downstream tasks.
- Process and analyze large-scale text datasets to extract meaningful insights and build robust models.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI capabilities into products and services.
- Stay abreast of the latest research and advancements in NLP and AI by reading academic papers, attending conferences, and participating in the research community.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of internal tools and platforms to accelerate AI research and development.
- Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
- Effectively communicate complex technical concepts and research results to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field with a specialization in NLP.
- Proven track record of research and development in NLP, evidenced by publications, patents, or significant contributions to open-source projects.
- Strong theoretical understanding of machine learning, deep learning, and statistical modeling.
- Hands-on experience with major NLP libraries and frameworks such as Hugging Face Transformers, spaCy, NLTK, scikit-learn, TensorFlow, and PyTorch.
- Proficiency in programming languages like Python.
- Experience with large-scale data processing and distributed computing frameworks (e.g., Spark) is a plus.
- Excellent problem-solving skills and the ability to tackle complex, open-ended research challenges.
- Exceptional communication and collaboration skills, vital for a remote working environment.
- Ability to work independently, manage time effectively, and drive projects to completion.