408 Chatbot Development jobs in Bahrain
Senior Machine Learning Engineer - Natural Language Processing
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Key Responsibilities:
- Develop, train, and deploy advanced NLP models for various applications.
- Implement and optimize state-of-the-art NLP algorithms (e.g., transformers, LSTMs, CNNs).
- Process and analyze large volumes of text data for NLP tasks.
- Integrate NLP models into production systems and APIs.
- Collaborate with data scientists and software engineers to build AI-powered products.
- Conduct research on new NLP techniques and methodologies.
- Evaluate and improve model performance, accuracy, and efficiency.
- Stay current with NLP research trends and emerging technologies.
- Contribute to the development of NLP pipelines and frameworks.
- Master's or Ph.D. in Computer Science, AI, Linguistics, or a related quantitative field.
- Minimum of 6 years of experience in machine learning and NLP development.
- Proven expertise in NLP techniques such as text classification, NER, sentiment analysis.
- Proficiency in Python and NLP libraries (spaCy, NLTK, Hugging Face).
- Strong experience with deep learning frameworks (TensorFlow, PyTorch).
- Familiarity with cloud ML platforms (AWS, Azure ML, GCP AI).
- Experience with MLOps and deploying models in production environments.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
AI Research Engineer - Natural Language Processing
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Responsibilities:
- Research, design, and implement state-of-the-art NLP models and algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Develop and fine-tune large language models (LLMs) and transformer architectures.
- Process and analyze large text datasets, perform feature engineering, and conduct data augmentation.
- Build and maintain robust data pipelines for training and evaluating NLP models.
- Collaborate with software engineers to integrate AI models into production systems and applications.
- Stay abreast of the latest research in NLP, deep learning, and artificial intelligence through literature review and conference participation.
- Conduct rigorous experimentation, performance evaluation, and benchmarking of NLP models.
- Develop prototypes and proof-of-concepts for new AI-driven features and products.
- Contribute to the company's AI strategy and intellectual property.
- Mentor junior AI engineers and contribute to team knowledge sharing.
- Optimize models for performance, scalability, and deployment efficiency.
- Explore and implement novel approaches to natural language understanding and generation.
- Ensure ethical considerations and bias mitigation are addressed in AI model development.
- Communicate complex technical concepts effectively 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.
- Proven experience in Natural Language Processing research and development.
- Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Hugging Face Transformers, NLTK, spaCy).
- Proficiency in Python and experience with relevant data science libraries (e.g., NumPy, Pandas, Scikit-learn).
- Experience with transformer architectures (e.g., BERT, GPT, T5) and their applications.
- Solid understanding of machine learning concepts, algorithms, and evaluation metrics.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for remote teamwork.
- Ability to work independently and manage projects effectively in a fast-paced, remote environment.
- Familiarity with graph neural networks or reinforcement learning for NLP is desirable.
- Experience with deploying NLP models in production settings is highly valued.
AI Research Scientist - Natural Language Processing
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Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, Machine Learning, and Deep Learning.
- Develop, train, and evaluate state-of-the-art NLP models for tasks such as text classification, sentiment analysis, machine translation, question answering, and summarization.
- Design and implement novel algorithms and architectures for language understanding and generation.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier AI conferences and journals.
- Stay current with the latest advancements in NLP and machine learning research.
- Explore and experiment with new AI techniques and tools.
- Analyze large datasets to extract insights and inform model development.
- Develop and maintain codebases for AI/ML models and experiments.
- Contribute to the intellectual property and patent portfolio of the company.
- Mentor junior researchers and engineers working on AI projects.
- Present research findings and project progress to technical and non-technical audiences.
- Identify opportunities for applying AI/NLP to solve business problems.
- Contribute to the overall AI strategy and roadmap.
- Ensure the ethical considerations and biases in AI models are addressed.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Proven track record of research and development in Natural Language Processing.
- Strong theoretical understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.
- Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong publication record in reputable AI/NLP venues is highly desirable.
- Ability to work independently and collaboratively in a research-intensive environment.
- Excellent written and verbal communication skills.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Familiarity with transformer architectures and pre-trained language models (e.g., BERT, GPT) is essential.
AI Research Scientist - Natural Language Processing
Posted today
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Job Description
Responsibilities:
- Conduct advanced research in NLP, including areas like sentiment analysis, text generation, machine translation, and question answering.
- Develop and implement novel NLP algorithms and models using state-of-the-art deep learning frameworks.
- Train, fine-tune, and evaluate large language models (LLMs).
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals.
- Analyze and interpret complex linguistic data.
- Stay current with the latest research trends and breakthroughs in AI and NLP.
- Mentor junior researchers and contribute to a collaborative research environment.
- Design and execute experiments to validate hypotheses and measure model performance.
- 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 publications in leading AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Strong theoretical understanding and practical experience with deep learning techniques and frameworks (e.g., TensorFlow, PyTorch).
- Expertise in Python programming and relevant NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills to effectively convey research ideas.
AI Research Scientist - Natural Language Processing
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AI/ML Engineer - Natural Language Processing
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AI Research Scientist - Natural Language Processing
Posted today
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Job Description
Responsibilities:
- Conduct research and development in Natural Language Processing (NLP) and machine learning.
- Design, implement, and test novel NLP models and algorithms.
- Work with large-scale text datasets for training and evaluation.
- Stay current with state-of-the-art research in AI, NLP, and deep learning.
- Publish research findings in top-tier conferences and journals.
- Collaborate with cross-functional teams to integrate AI models into products and services.
- Develop prototypes and proofs-of-concept for new AI applications.
- Analyze and interpret experimental results to guide future research directions.
- Contribute to the company's intellectual property through patents and publications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Proven experience in Natural Language Processing research and development.
- Strong understanding of machine learning, deep learning, and statistical modeling.
- Proficiency in Python and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large language models (LLMs) and transformer architectures.
- Demonstrated ability to publish research in leading AI venues.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for remote work.
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AI Research Scientist - Natural Language Processing
Posted today
Job Viewed
Job Description
AI Research Scientist - Natural Language Processing
Posted today
Job Viewed
Job Description
AI Research Scientist - Natural Language Processing
Posted today
Job Viewed
Job Description
Responsibilities include conducting rigorous research, prototyping new AI techniques, and developing production-ready NLP models. You will analyze large datasets, identify patterns, and extract meaningful insights to improve model performance. Collaboration is key, as you'll work closely with a team of talented AI engineers and data scientists, sharing knowledge and contributing to a collective understanding of AI capabilities. This role requires a strong theoretical foundation in machine learning, deep learning, and NLP, coupled with practical experience in building and deploying NLP systems. You will be expected to publish research findings in top-tier conferences and journals, staying abreast of the latest developments in the field.
Qualifications include a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a closely related quantitative field, with a strong focus on NLP. Demonstrated experience with Python and major deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. A portfolio of relevant projects, publications, or open-source contributions is highly valued. The ability to work independently, manage projects effectively, and communicate complex ideas clearly and concisely is crucial for this remote role. Join us in shaping the future of AI and NLP from the comfort of your home.