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NLP Engineer
Tel Aviv
Hybrid
Full-time
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About Nimble:
Come and shape the modern era of data and AI!!
Nimble is the first business external data platform, making data decision-making easier than ever, with our award-winning AI-powered data structuring technology Nimble connects business users with the public web knowledge.
We empower businesses with mission-critical real-time external data to unlock advanced competitors’ intelligence, price comparison, and companies’ data for sales and marketing. We translate data into immediate business value.
With Nimble, data teams build advanced AI applications that connect enterprise-ready real-time web data to their custom GPTs. Modern BI teams use Nimble to build business dashboards and unlock new opportunities with market visibility. Data is the king.
We will disrupt the traditional market intelligence space. The reward is great – we can disrupt the legacy data industry worth $ 100B and build a data connected world.
About the Role:
<p><strong>We are looking for a highly motivated and talented AI/NLP Engineer to join us in our TLV offices.</strong></p>
What You’ll be Doing:
<ul><li>Understand the company's and product's challenges and determine how integrating AI capabilities can provide solutions and offer significant business benefits.</li><li>Identify opportunities for AI within our software products and align AI initiatives with business goals.</li><li>Collaborate with product managers, development teams, and other stakeholders to design AI solutions.</li><li>Stay updated with the latest AI technologies, advancements, and techniques, using this knowledge to influence strategic decisions and enhance existing products.</li><li>Lay the groundwork for the future expansion of the AI team.</li><li>Work with tabular and textual data.</li></ul>
What You Should Have for the Role:
<ul><li>Hold an M.Sc degree or higher in Computer Science, Engineering, Mathematics, Statistics, or another related quantitative field that offers a solid foundation for data science and machine learning.</li><li>2-3 years of hands-on experience in AI R&D roles, with proficiency in Python-based machine learning libraries such as scikit-learn, PyTorch, and HuggingFace.</li><li>Knowledge and practical experience in NLP and deploying real-world AI solutions in production.</li><li>Understand the mechanics and applications of large language models in the current AI landscape, including expertise in using APIs effectively.</li><li>Skill set includes software engineering, data infrastructure, and familiarity with RDBMS/NOSQL.</li><li>Possess strong leadership and communication abilities.</li><li>Exhibit robust problem-solving skills, with the capability to identify business challenges, formulate data-driven hypotheses, and design experiments to test and validate these hypotheses.</li></ul>
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