Senior Engineer-NLP

Elevate Your Impact Through learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.

A bout 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

• Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models
• Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques
• Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning
• Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time

What were Looking for

• At least a bachelors /master`s degree 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
• About 38 years of experience in NLP, ML, and DL
• More than one year of experience in generative AI application development at the production level
• Demonstrated ability in developing NLP / ML / DL / generative AI project solutions here
• Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL 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 / C++
• Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices
• Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure
• Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights
• Experience in contributing to open-source software projects
• Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements
• Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely
• Understanding of the cultural differences and work styles in a global environment