Software Engineer - Search/NLP with Machine Learning/Artificial Intelligence
Merck Sharp & Dohme Corp.
Prague, Czech Republic
před 60 dny

Description

MSD is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products.

The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where MSD has codified its 125-

year legacy. MSD’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

MSD’s Information Technology division partners with colleagues across the business to help serve our patients and customers around the world.

Ours is a high-energy team of dynamic, innovative individuals dedicated to advancing MSD’s contribution to global medical innovation by leveraging information and technology to efficiently advance the business by driving revenue and productivity.

Our team solves a broad range of business problems using Artificial Intelligence and Machine Learning methods. A part of our work is to help, our colleagues to make better use of unstructured data by developing prototypes and applications ranging from special-

purpose search engines, via chatbots, to Business-Intelligence-like tools (which we often base on Elasticsearch and Kibana).

Accordingly, we are looking for a versatile software engineer with a strong experience in Natural Language Processing (NLP) and search (information retrieval) who also ideally has some experience with machine learning.

  • You will develop and consult on developing chatbots and smart search solutions.
  • You will contribute to our strategy of addressing chatbot and other unstructured and semi-structured search demand coming from multiple countries in multiple languages and multiple use cases.
  • You might get a chance to contribute to or even drive improvements to the ranking of a fairly large internal search engine.
  • You will also get a chance to contribute to solving specific data science and ML / AI problems and projects.

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