What makes a great NLP engineer? NLP (natural language processing) has taken the world by storm in recent years with the likes of ChatGPT occupying every conceivable headline (or so it would seem), but NLP has been around for a long time, as anyone in the tech space will tell you.
That said, the NLP role is changing with every new innovation. If you’re in the market for a new NLP engineer, here are some of the skills and traits you might want to watch out for:
1. Experience with Big Data Frameworks
Bid data is even bigger in 2023. And it’s prepared to get megalithic in the coming years. NLP engineering jobs typically involve some form of big data analysis. Frameworks such as Flink, Hadoop, Hive, and MapReduce can prove essential.
2. A drive to keep up
Tech moves fast, and NLP is among the fastest-moving parts of tech, so your ideal candidate should have the drive to keep up with the latest and greatest developments. Tech is always evolving, and so are the tools and techniques used to propel it forward. Does your candidate demonstrate an aptitude for adaptability?
3. A Range of Experience in new advancements
NLP is in a constant state of flux. There’s always ‘another cool project’ on the horizon, and it means your candidate should be well-versed across a range of different areas inside the wider discipline.
4. Experience with R&D
Research and development are crucial parts of tech’s progression trajectory, and for some reason, they sometimes get overlooked on the CV. R&D experience can level up a candidate in no time.
If you need support with hiring an NLP engineer, Trust in SODA specialist consultants are here to help. Let us know what you’re looking for, and we’ll find it. Even if you don’t know what you’re looking for, we’ll help you find out. Reach out to the SODA squad today.
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