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C#, design, expert, php, project architect, senior software engineer. Experience with deep learning architectures for NLP tasks, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models.
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Company Overview: Welcome to the forefront of Natural Language Processing (NLP) innovation! Position Overview: As a Senior Natural Language Processing (NLP) Engineer, you'll play a crucial role in developing and deploying advanced NLP models and algorithms.
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Data Preparation: Collect, preprocess, and annotate textual data for training NLP models, ensuring data quality and relevance. Strong understanding of NLP techniques and algorithms, including word embeddings, sequence labeling, text classification, and language generation.
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C#, develop, matlab, perl, php, project architect, software architect, software engineer lead. Implement laser cutting and forming process that connects product engineering and operations to improve PPAP pass rate.
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Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience with containerization and orchestration technologies. We're committed to developing cutting-edge NLP solutions that drive meaningful change and improve user experiences.
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Model Deployment: Deploy NLP models into production environments, ensuring seamless integration with existing systems and platforms. Model Training and Evaluation: Train and evaluate NLP models using appropriate techniques and metrics, optimizing for performance, accuracy, and scalability.
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Proficiency in programming languages such as Python, and expertise in NLP libraries and frameworks such as NLTK, spaCy, Transformers, or AllenNLP. Our company is dedicated to harnessing the power of NLP to transform industries and revolutionize how people interact with technology.
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If you're a seasoned NLP engineer with a passion for innovation and a track record of delivering impactful solutions, we want you on our team. Performance Optimization: Optimize the performance of NLP models and systems, leveraging techniques such as distributed computing and GPU acceleration.
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Exciting projects with real-world impact at the forefront of NLP innovation. Model Development: Design, develop, and implement advanced NLP models and algorithms to solve complex language understanding and generation tasks.
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Excellent problem-solving skills and analytical thinking, with a passion for tackling complex NLP challenges. Apply now to join our team and drive innovation in Natural Language Processing! Research and Innovation: Stay informed about the latest advancements in NLP research and technology, exploring innovative approaches and techniques to enhance NLP solutions.
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5+ years of experience in NLP engineering, with a focus on developing and deploying NLP models and algorithms. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver end-to-end NLP solutions that meet customer requirements.
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Competitive salary: The industry standard salary for Senior NLP Engineers typically ranges from $170,000 to $250,000 per year, depending on experience and qualifications. Join Us: Ready to shape the future of NLP.
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Flexible work hours and remote work options. State-of-the-art technology environment with access to cutting-edge tools and resources. Domain Adaptation: Adapt pre-trained language models to specific domains or use cases, fine-tuning model parameters and architectures as needed.
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Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field. You'll work on a variety of projects, from building intelligent chatbots and virtual assistants to analyzing and extracting insights from textual data.
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Professional development opportunities, including access to training programs, conferences, and workshops. Feature Engineering: Identify and engineer relevant features from raw textual data to improve model performance and predictive accuracy.
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