Lead Engineer - NLP

Evalueserve India; Gurugram District; Hybrid; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Flexible working hours

Professional development opportunities

Diversity and inclusion programs

Job summary

A leading global analytics firm is looking for a skilled Lead Engineer NLP to join their ITC Department in Gurugram. This role involves building cutting-edge machine learning models and applying various NLP techniques in generative AI applications. The ideal candidate should have a strong educational background in computer science and 8-12 years of related experience. The company promotes innovation and offers a hybrid working model, fostering professional growth and diversity.

Qualifications

• At least a bachelor’s / master’s degree in computer science, information systems, statistics, or a related field.
• Strong understanding of data science processes, such as data investigation and cleaning.
• 8-12 years of experience in NLP, ML, and DL.
• Experience in generative AI application development at the production level.
• Hands-on experience and theoretical expertise in common NLP algorithms and DL architectures.

Responsibilities

• Build and implement advanced machine learning and deep learning algorithms.
• Apply NLP techniques to problems such as text classification and summarization.
• Contribute to the design and development of generative AI applications.
• Design practical and analytical approaches while focusing on data quality and feasibility.

Skills

Natural Language Processing (NLP)

Machine Learning (ML)

Deep Learning (DL)

Generative AI

Python

C++

TensorFlow

PyTorch

Data Analysis

Communication

Education

Bachelor's / Master's degree in Computer Science, Statistics, or related field

Tools

Huggingface Transformers

Knowledge Graphs

Recommendation Engines

Job description

4 days ago Be among the first 25 applicants

Job Summary

We are looking for a skilled Lead Engineer NLP to join our ITC Department.

Key Responsibilities

• 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.

Required Qualifications

• At least a bachelor’s / 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 8-12 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.
• 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.

Leadership Perspectives

Ravi Mehrotra, CEO

"As we reflect on Evalueserve’s journey from a pioneering knowledge process outsourcing firm in 2000 to a global leader in AI‑powered analytics and decision support in 2025, I am filled with immense pride and gratitude. Our growth has been driven by a relentless focus on innovation, a deep commitment to client success, and the incredible talent of our global teams."

Satyajit Saha, Vice President for Innovation & Technology Centre

"With 25 years of experience in insight‑driven solutions, Evalueserve is leading the charge in embedding domain‑specific generative AI into how knowledge work gets done at scale and with measurable impact."

Why Join Evalueserve

Evalueserve is a global leader in managed services that empower smarter decision‑making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting‑edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work—and today, we are pushing the frontier further with generative and agentic AI.

We foster a merit‑based and innovation‑driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines.

Recent Awards and Recognitions

• AIM Research 2025: Top 10 of the “20 Best Firms for Women in Tech”
• Forrester Wave 2024: Leader in Market & Competitive Intelligence Platforms
• Chartis Research 2024: Category Leader in Credit Portfolio Management
• Credit Strategy Lending Awards 2024: Winner, “Best Technology Partner”
• Banking Tech Awards 2024: Highly Commended, “Best Lend Tech”

Disclaimer: The Above 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.

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