Location

New Delhi

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Job Description:
Mid-Level ML & LLM Engineer
Location: Gurgaon
Employment Type: Full time
Experience: 2-5 years

About the Role

We are building a Data and AI Enablement team and are looking for a motivated mid-level ML & LLM Engineer to design, deploy, and maintain AI-driven data solutions.

What You’ll Do

Design and deploy traditional machine learning and LLM-based solutions to solve real business problems.

Build and maintain data pipelines, lakehouse architectures using Microsoft Fabric, and RAG systems using tools such as Azure Search Indexes and ChromaDB.

Grade, refine, and enrich datasets to improve ML and LLM model training, including use of medallion architecture and synthetic data principles.

Maintain high code quality through Git-based workflows, code reviews, documentation, and DevOps best practices.

Partner with cross-functional teams to translate business requirements into scalable, production-ready technical solutions.

Communicate AI capabilities, limitations, risks,



and trade-offs clearly to both technical and non-technical stakeholders.

Required Skills and Experience

AI & Machine Learning

Strong understanding of large language models, including capabilities, limitations, and responsible use.

Experience with prompt engineering and AI output evaluation.

Knowledge of traditional machine learning techniques such as classification, NLP, and sentiment analysis.

Experience with retrieval-augmented generation, or RAG.

Understanding of LLM-related concepts such as hallucination, token usage, quantization, context window limitations, and model reliability.

Familiarity with AI evaluation frameworks and responsible AI deployment practices.

AI Capabilities, Limitations & Agentic AI

Ability to assess when AI tools are appropriate and when traditional methods may be more effective.

Understanding of common AI failure modes, including hallucination, bias, prompt injection, and context limitations.

Ex

📌 Machine Learning (Delhi)
🏢 L.E.K. Consulting
📍 Delhi