Walk-in | Senior/Lead Analyst - AI/NLP Engineer

Evalueserve; Gurugram District; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Evalueserve seeks an experienced AI/ML engineer to design, develop, and deploy LLM-powered generative AI applications for diverse use cases in a fast-paced environment. You will implement NLP/DL techniques, contribute to enterprise-grade AI solutions, and ensure scalable, data-quality-aware delivery across cloud platforms.

The ideal candidate has 7–10 years of software development experience, strong Python/C++ skills, and hands-on exposure to productionizing AI models with modern ML tools and

Qualifications

• Bachelor's or Master's in CS/IS/Statistics/Math.
• 7-10 years of software development experience.
• Collaborate with data scientists, MLOps engineers, and product managers to productionize AI models.
• Optimize model performance and reduce latency via quantization, distillation, and pruning.
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Strong problem-solving skills and experience in agile development.

Responsibilities

• Building and implementing advanced ML/DL algorithms and models.
• Applying NLP techniques to text classification, summarization, QA, IR, knowledge extraction, and chatbots.
• Contributing to enterprise-grade generative AI applications, incl. RAG, VDB optimization, LLM evaluation, and finetuning.
• Designing practical, scalable, data-quality-aware AI solutions.

Skills

NLP/ML/DL/Generative AI

NLP algorithms & DL architectures

Knowledge graphs, ranking algorithms,

TensorFlow, PyTorch, HuggingFace

Python / C++ programming

ML deployment best practices

Cloud infrastructure for large-scale

Data scraping & information org

Open-source contributions

Creative problem solving in AI product

Education

Bachelor's / Master's in CS/IS/Statistics/Math

Tools

TensorFlow

PyTorch

HuggingFace Transformers

Job description

Job Summary

We are looking for an experienced person who has good experience in designing, developing, and deploying LLM-powered Generative AI applications for diverse use cases such as chatbots, content generation, summarization, and code automation.

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, availability, feasibility, scalability, and turnaround time.

Core Competencies

• 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 architecture 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 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.

Required Qualifications

• A bachelor's / masters degree in computer sciences, information systems, statistics, or mathematics, with 7-10 years of experience in software development.
• Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product managers, to integrate AI models into production systems.
• Optimize model performance and reduce latency using quantization, distillation, and pruning techniques.
• Stay up to date with cutting-edge research in AI, NLP, and deep learning to continuously improve solutions.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for model deployment.
• Strong problem-solving skills and experience working in an agile development environment.

5+ years of experience in AI/ML, deep learning, or software development.