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Natural Language Processing Engineer


Evalueserve SEZ (Gurgaon) Private Limited


Location

Bangalore | India


Job description

Elevate Your Impact Through Innovation and Learning:

Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients' strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble. We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as the M iddle East and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

About Innovation and Technology Centre (ITC)

Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA).

What you will be doing at Evalueserve? Build and implement advanced machine learning models Research, develop and evaluate advanced text speech processing algorithms and implementations. Strong academic and/or industrial exposure to NLP of 3+ years Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction and conversational bots design potentially with both traditional & Deep Learning Techniques In depth exposure to some of the Tools/Techniques: spaCy, Nltk, Gensim, CoreNLP, NLU, NLG tools etc., Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects Proficiency in scraping data from an external source and come up architectures to store and organize the information for insight generation Experience in analyzing large amounts of user-generated content and process data in large-scale environments using cloud infrastructure is desirable Contributions to open source software projects is an added advantage Analyze and model structured data using advanced statistical methods and implement algorithms Experience and tenacity to go beyond available tools/technique to design solutions for product requirements

What we’re looking for Bachelors / Master`s degree and above in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement 3–7 years of experience in natural language processing, machine learning, and deep learning Demonstrated ability in NLP / ML / DL project solutions and Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and deep learning architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc. In-depth knowledge and experience in handling open-source frameworks such as TensorFlow, PyTorch, and Huggingface Transformers Expert-level programming experience in Python / Scala / C++ Familiarity with general software design concepts, product development lifecycles, and machine learning model deployment best practices Ability to handle communication with internal and external stakeholders and convey complex information clearly and concisely Understand the cultural differences and work in a global environment

Interested candidates can share their updated resume at [email protected]

Disclaimer:

The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Want to learn more about our culture and what it’s like to work with us? Write to us at:

[email protected]

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