What Jobs are available for Prompt Engineer in Ahmedabad?
Showing 72 Prompt Engineer jobs in Ahmedabad
Senior AI Engineer - Natural Language Processing
Posted 2 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement state-of-the-art NLP models and algorithms.
 - Build and deploy scalable NLP pipelines for various applications.
 - Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for NLP tasks.
 - Work with large text datasets, including cleaning, preprocessing, and feature engineering.
 - Develop solutions for text classification, named entity recognition, sentiment analysis, summarization, and question answering.
 - Implement and fine-tune transformer-based models (e.g., BERT, GPT).
 - Collaborate with cross-functional teams to understand requirements and deliver AI solutions.
 - Optimize NLP models for performance, efficiency, and accuracy.
 - Stay current with the latest research and advancements in NLP and AI.
 - Write clean, maintainable, and well-documented code.
 
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field.
 - 5+ years of professional experience in AI/ML engineering, with a strong focus on NLP.
 - Proven experience developing and deploying production-level NLP models.
 - Proficiency in Python and relevant NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
 - Strong understanding of machine learning and deep learning principles as applied to NLP.
 - Experience with deep learning frameworks like TensorFlow or PyTorch.
 - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is a plus.
 - Excellent problem-solving, analytical, and communication skills.
 - Ability to work effectively in a remote, collaborative team environment.
 - Experience with large-scale data processing is desirable.
 
This is a fully remote role, perfect for individuals seeking flexibility and challenging work from **Ahmedabad, Gujarat, IN**. Contribute to groundbreaking AI advancements.
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                    AI Research Engineer - Natural Language Processing
Posted 6 days ago
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                    AI/ML Engineer - Natural Language Processing
Posted 2 days ago
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Job Description
Key responsibilities include developing and maintaining NLP pipelines, integrating models into production systems, and collaborating with cross-functional teams of data scientists, software engineers, and product managers. You will stay at the forefront of NLP research, identifying and implementing new techniques and tools to enhance our AI capabilities. This involves conducting research, prototyping new ideas, and contributing to the development of proprietary NLP algorithms. The AI/ML Engineer will also be responsible for evaluating model performance, identifying areas for improvement, and implementing strategies for model scalability and efficiency. Strong coding skills in Python and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face, spaCy, NLTK) are essential. The ability to work effectively in a remote, asynchronous environment, communicate complex technical concepts clearly, and contribute to a collaborative team culture is paramount.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field with a focus on NLP.
 - Minimum of 5 years of experience in AI/ML engineering, with a significant specialization in NLP.
 - Proven experience developing and deploying production-ready NLP models.
 - Deep understanding of NLP techniques, including tokenization, embeddings, sequence modeling, transformers, and attention mechanisms.
 - Proficiency in Python and ML/DL frameworks like TensorFlow, PyTorch, or Keras.
 - Experience with NLP libraries such as Hugging Face, spaCy, NLTK, or Gensim.
 - Strong grasp of statistical modeling, machine learning algorithms, and evaluation metrics.
 - Excellent problem-solving, analytical, and algorithmic thinking skills.
 - Experience working with large text datasets and cloud platforms (AWS, Azure, GCP) is a plus.
 - Demonstrated ability to work independently and collaboratively in a remote setting.
 
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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 NLP, focusing on areas such as language modeling, machine translation, sentiment analysis, text generation, and information extraction.
 - Design, implement, and evaluate novel AI algorithms and deep learning models for NLP tasks.
 - Develop and prototype advanced NLP systems and applications.
 - Stay abreast of the latest research trends and publications in AI and NLP.
 - Publish research findings in top-tier academic conferences and journals.
 - Collaborate with cross-functional teams, including software engineers and product managers, to integrate research outcomes into practical applications.
 - Analyze and interpret large datasets to extract meaningful insights and inform model development.
 - Develop and maintain robust experimental frameworks for reproducible research.
 - Mentor junior researchers and interns, fostering a collaborative and innovative research environment.
 - Contribute to the development of the company's AI strategy and roadmap.
 - Evaluate and select appropriate tools, libraries, and frameworks for AI/ML development.
 - Present research findings and technical details to both technical and non-technical audiences.
 - Contribute to open-source AI/ML projects where appropriate.
 - Ensure ethical considerations and bias mitigation are addressed in AI models.
 - Collaborate with external research institutions and academic partners.
 
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
 - Proven track record of research accomplishments in NLP, demonstrated through publications, patents, or significant contributions to open-source projects.
 - Strong theoretical foundation in machine learning, deep learning, and statistical modeling.
 - Proficiency in programming languages such as Python, and experience with ML/DL frameworks like TensorFlow, PyTorch, Keras.
 - Hands-on experience with NLP libraries such as NLTK, spaCy, Hugging Face Transformers.
 - Experience with large-scale data processing and distributed computing is a plus.
 - Excellent analytical, problem-solving, and critical thinking skills.
 - Strong written and verbal communication skills, with the ability to articulate complex ideas clearly.
 - Ability to work independently and collaboratively in a distributed, remote team setting.
 - Passion for advancing the field of AI and its applications.
 - Experience with cloud computing platforms (AWS, GCP, Azure) for AI workloads is beneficial.
 
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                    AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Job Description
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                    Lead AI/ML Engineer - Natural Language Processing
Posted 2 days ago
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Job Description
Key responsibilities will include:
- Leading the design, development, and implementation of state-of-the-art NLP models and algorithms.
 - Researching and applying novel AI/ML techniques to solve complex business challenges.
 - Developing and optimizing NLP pipelines for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
 - Building and deploying scalable machine learning systems and MLOps infrastructure.
 - Mentoring and guiding a team of AI/ML engineers, fostering technical excellence and innovation.
 - Collaborating closely with data scientists, software engineers, and product managers to define and deliver AI features.
 - Evaluating and selecting appropriate tools, libraries, and frameworks for AI/ML development.
 - Staying at the forefront of AI/ML and NLP research, and disseminating knowledge within the organization.
 - Ensuring the ethical development and deployment of AI systems.
 - Contributing to the overall AI strategy and roadmap.
 - Conducting code reviews and providing technical feedback to team members.
 - Developing robust testing and validation strategies for AI models.
 
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                    Senior AI/ML Engineer - Natural Language Processing
Posted 2 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced NLP models and algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, question answering, and text generation.
 - Conduct research into new NLP techniques and architectures, evaluating their potential for application.
 - Process and analyze large volumes of textual data, ensuring data quality and preparing it for model training.
 - Build robust data pipelines for training and inference of NLP models.
 - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate NLP solutions into products and services.
 - Fine-tune pre-trained language models (e.g., BERT, GPT, Transformer variants) for specific downstream tasks.
 - Deploy and monitor AI/ML models in production environments, ensuring scalability, reliability, and performance.
 - Evaluate model performance using appropriate metrics and iterate on models to improve accuracy and efficiency.
 - Stay abreast of the latest advancements in NLP, machine learning, and deep learning research.
 - Contribute to the technical roadmap and strategy for AI/ML initiatives.
 - Mentor junior engineers and share knowledge within the team.
 
- 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 building and deploying NLP models, with a strong focus on deep learning techniques.
 - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn.
 - Extensive experience with NLP libraries and frameworks like NLTK, spaCy, Hugging Face Transformers.
 - Solid understanding of natural language processing concepts, algorithms, and state-of-the-art models.
 - Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
 - Strong analytical and problem-solving skills, with a passion for research and innovation.
 - Excellent communication and collaboration skills, with the ability to explain complex technical concepts.
 
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Senior AI/ML Engineer, Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement sophisticated NLP models and algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
 - Build and optimize deep learning architectures for NLP applications using frameworks like TensorFlow, PyTorch, or Keras.
 - Develop robust data pipelines for data preprocessing, feature engineering, and model evaluation.
 - Collaborate with product managers and data scientists to understand business requirements and translate them into technical specifications.
 - Deploy and maintain NLP models in production environments, ensuring scalability, reliability, and performance.
 - Conduct research on the latest advancements in NLP and machine learning, and apply them to improve existing models and develop new solutions.
 - Evaluate model performance using appropriate metrics and conduct rigorous testing.
 - Write clean, efficient, and well-documented code.
 - Stay abreast of the latest research papers, conferences, and industry trends in AI and NLP.
 - Mentor junior engineers and contribute to the team's technical growth.
 - Work effectively in a hybrid environment, collaborating with remote and on-site team members.
 
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
 - Minimum of 5-7 years of hands-on experience in developing and deploying NLP models and machine learning solutions.
 - Strong proficiency in Python and relevant ML/NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers, Scikit-learn).
 - Deep understanding of NLP concepts, algorithms, and techniques (e.g., word embeddings, RNNs, LSTMs, Transformers).
 - Experience with deep learning frameworks (TensorFlow, PyTorch).
 - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is a plus.
 - Excellent problem-solving, analytical, and critical thinking skills.
 - Strong communication and collaboration skills.
 - Ability to work effectively in a hybrid team setting in **Ahmedabad, Gujarat, IN**.
 
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                    Lead AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Job Description
As a Lead AI Research Scientist, you will conceptualize, design, and implement cutting-edge NLP models and algorithms. Your work will involve extensive research into areas such as language understanding, generation, translation, and sentiment analysis. You will collaborate with a world-class team of engineers and researchers, publish findings in leading conferences, and mentor junior scientists. This role requires a deep theoretical understanding of machine learning and deep learning, coupled with practical experience in building and deploying complex NLP systems. As a remote-first role, excellent communication and collaboration skills are paramount.
Key Responsibilities:
- Conduct pioneering research in Natural Language Processing, focusing on areas like large language models (LLMs), text generation, summarization, question answering, and dialogue systems.
 - Design, develop, and implement novel NLP algorithms and deep learning architectures.
 - Lead the research roadmap for NLP initiatives, identifying key opportunities and challenges.
 - Collaborate with software engineers to integrate research prototypes into production systems.
 - Publish research findings in top-tier AI/NLP conferences and journals.
 - Mentor and guide junior research scientists and engineers in the team.
 - Stay abreast of the latest advancements in AI, machine learning, and NLP research globally.
 - Develop and maintain robust experimentation frameworks for model evaluation and comparison.
 - Contribute to the intellectual property portfolio through patents and publications.
 - Present research progress and results to internal stakeholders and external audiences.
 
- PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a specialization in NLP.
 - Minimum of 8 years of post-graduate research experience in NLP and machine learning.
 - Proven track record of significant contributions to the NLP field, evidenced by publications, patents, or open-source contributions.
 - Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or JAX.
 - Expertise in programming languages like Python, with extensive experience in NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
 - Strong theoretical foundation in machine learning, statistical modeling, and deep learning.
 - Experience in leading research projects and mentoring junior team members.
 - Excellent communication, collaboration, and problem-solving skills, essential for a remote environment.
 - Ability to work independently and manage complex research challenges.
 - Demonstrated ability to translate research concepts into practical applications.
 
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                    Lead AI Research Scientist - Natural Language Processing
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct advanced research in Natural Language Processing, Machine Learning, and Deep Learning to develop novel algorithms and models.
 - Design, implement, and evaluate state-of-the-art NLP systems for tasks such as text generation, sentiment analysis, machine translation, and question answering.
 - Lead and mentor a team of AI researchers and engineers, fostering a culture of scientific excellence and innovation.
 - Collaborate with product teams to translate research breakthroughs into practical applications and deployable solutions.
 - Publish research findings in top-tier academic conferences and journals.
 - Stay abreast of the latest advancements in AI, NLP, and related fields.
 - Develop and maintain high-quality, well-documented code for research prototypes and production systems.
 - Contribute to the strategic direction of the AI research roadmap.
 - Evaluate and select appropriate tools, frameworks, and technologies for NLP research and development.
 - Present research results and project progress to stakeholders and executive leadership.
 
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a specialization in NLP.
 - A minimum of 7 years of hands-on research experience in NLP, with a strong publication record in leading conferences (e.g., ACL, EMNLP, NeurIPS).
 - Deep understanding of transformer architectures, LLMs, and various deep learning frameworks (e.g., TensorFlow, PyTorch).
 - Proven ability to lead research projects and mentor junior scientists.
 - Experience in developing and deploying NLP models in real-world applications.
 - Excellent programming skills in Python and proficiency with relevant libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
 - Strong analytical and problem-solving skills.
 - Excellent written and verbal communication skills, with the ability to articulate complex technical concepts.
 - Experience with cloud platforms (AWS, Azure, GCP) and distributed computing is a plus.
 - Ability to work independently and collaboratively in a remote setting.
 
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