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NLP Engineer: Career Path

An NLP Engineer is a specialized software engineer focused on the development and implementation of algorithms and models that enable machines to understand, interpret, and generate human language. This role involves a blend of linguistics and computer science, leveraging techniques in machine learning and artificial intelligence to create applications such as chatbots, voice assistants, and language translation systems.

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What does the NLP Engineer career path entail?

Pursuing a career as an NLP Engineer is a wise choice for those passionate about the intersection of language and technology. The demand for NLP expertise is rapidly growing as more industries recognize the value of intelligent language processing in enhancing user experiences and operational efficiency. This career offers the opportunity to work on cutting-edge projects that push the boundaries of what machines can achieve in understanding human language. Additionally, NLP Engineers often have the chance to collaborate with interdisciplinary teams, providing a dynamic and intellectually stimulating work environment. As businesses continue to integrate AI-driven solutions, the role of an NLP Engineer is becoming increasingly pivotal, ensuring a wealth of job opportunities. Moreover, this field encourages continuous learning and innovation, making it ideal for those who enjoy problem-solving and creative thinking.

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Best books to explore the Natural Language Processing career path.

A well-written and thorough book can be an amazing path to build deeper understanding and also act as a handbook as you discover the internet's vast resources.

These are our and our experts top picks to get started building career-relevant skills.

Foundations of Statistical Natural Language Processing

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. ...

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Handbook of Natural Language Processing

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. ...

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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python

SummaryNatural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.Purchase ...

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Natural Language Understanding

From a leading authority in artificial intelligence, this book delivers a synthesis of the major modern techniques and the most current research in natural language processing. The approach is unique in its coverage of semantic interpretation and discourse alongside the foundational material in syntactic processing.

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Transformers for Natural Language Processing: Build Innovative Deep Neural Network Architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and More

Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. ...

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Natural Language Processing with Python

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. ...

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Courses to deepen your Natural Language Processing skills.

These days, courses are no longer a sequence of videos. They are usually accompanied by projects and a learning community, keeping you accountable and on the path.

Our experts recommend these courses, from free selections to paid programs.

NLP Practitioner Training (Neuro-Linguistic Programming)

Know Your Psychology | Learn Effective NLP Productivity Strategies | Develop a Mature Mindset | Foster Inner Resilience
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iGNLP™ Certified NLP Practitioner (Associate)

NLP Get the only Genuine 100% iGNLP™ Accredited - NLP Practitioner Certification Recognised Globally
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NLP Practitioner & NLP Master Practitioner Cert (ACCREDITED)

The ONLY Combined NLP Practitioner & NLP Master Practitioner Certification Course on this platform - 2 Courses in 1!
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Neuro-Linguistic Programming Master Practitioner (Advanced)

Advanced NLP and Mindset Development | Influential Communication Skills | Outcome Focused Goal Setting | NLP for Leaders
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NLP Practitioner & NLP Life Coach Certification (Accredited)

NLP Certification & Ultimate Guide. Become a Certified NLP (Neuro Linguistic Programming) Practitioner & NLP Life Coach
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NLP - Neuro Linguistic Programming - Your Ultimate Guide To NLP

This free online Neuro Linguistic Programming (NLP) course will teach you how the link between the mind, language and behavioral patterns can be adapted to help build confidence, develop better communication skills and reprogram old ways of thinking. You will learn about ‘modeling’ and how by adapt…
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Mert Ozlutiras 🇩🇪

AI Solution Architect at Crayon
4.9 (9)

👋 Hey, I'm Mert, 5+ years of experience in AI and Data Science - and I've been right where you are in the tech world. I started in a non-technical role in Turkey, and the journey to where I am today, working with NLP tech and generative AI in Germany, …
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Mohannad Elhamod 🇺🇸

Clinical Assistant Professor | Machine Learning Researcher | ex-software engineer at Microsoft at Questrom School of Business @ Boston University
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**Why can I help you? ** I had been a software engineer at Microsoft for 6+ years, a research intern at NASA, and completed my PhD in Computer Science at Virginia Tech in 2023. I am currently a clinical assistant professor at Questrom School of Business at Boston University, where …
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Björn Wilmsmann 🇩🇪

Independent IT consultant at Björn Wilmsmann IT Services
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My name is Björn Wilmsmann. I’m an independent IT consultant, trainer, and author (Stratospheric - From Zero to Production with Spring Boot and AWS: https://stratospheric.dev/). I design and develop business solutions, enterprise applications, and web apps.
Engineering & Data Spring Java Spring Boot Aws Design JavaScript
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Govind Malhotra 🇬🇧

Principal AI Scientist at Consulting
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Govind has been working in AI/Machine Learning data science consulting industry for 10+ years and has solved industry problems through building scalable machine learning solutions across multiple domains :- Insurance, banking, telecom and healthcare. He has helped mentees landing their first data science jobs or transition into new roles.
Engineering & Data Machine Learning Statistics Data Science Python Deep Learning SQL
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Tracy Pham 🇻🇳

Data Science Manager
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I have been a mentor for more than 2 years on MentorCruise and other online platforms. I find myself loving to help people with their first steps in the "ML journey". I have experience working with many state of the art algorithms in NLP. Using Transformer-based models such as BERT, …
Engineering & Data Natural Language Processing Deep Learning Machine Learning NLP Data Science Artificial Intelligence
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Sheng Wei Pang 🇸🇬

Lead Machine Learning Engineer (L5) at Grab
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Hi there, I'm Pang. As a software-engineer turned ML Engineer + Data Scientist, I love helping others achieve their dream career in tech. The tech industry is tough, wether its job hunting, preparing for interviews or getting promoted, trust me, I've been there. For the past 5 years, I've received …
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Growing into a Senior NLP Engineer role pays off – $38,000 up to per year.

Not only is the progression from individual NLP Engineer to a Senior role a natural progression, it also makes all the difference in your average salary.

On a global average, Senior NLP Engineer receive a $38,000 salary hike over entry-level NLP Engineers when they go from individual contributor to senior personnel.

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Get the help you need & advance your career

Becoming an NLP Engineer offers a fulfilling career path for those interested in language and technology. With the continuous advancements in AI, the role promises to remain both challenging and rewarding. Embracing this career means contributing to the future of intelligent systems that improve communication and understanding across the globe.

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