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.

Experience with Model Context Protocol, or MCP, including integrating AI agents with enterprise APIs, tools, and data sources.

Practical knowledge of agentic AI architectures and multi-step reasoning workflows.

Comfort working within responsible AI guidelines and explaining AI limitations to stakeholders.

Problem Solving & Communication

Structured and analytical approach to solving complex and ambiguous business problems.

Ability to translate stakeholder needs into scalable technical designs.

Experience evaluating trade-offs across data, model, and infrastructure choices.

Strong written and verbal communication skills with both technical and non-technical audiences.

Data & Databases

Strong SQL skills, including querying, modeling, and optimization.

Experience with data pipeline design and ETL.

Familiarity with lakehouse architecture,



preferably Microsoft Fabric.

Experience with vector databases for RAG use cases.

Cloud & Infrastructure

Experience with Microsoft Azure.

Familiarity with Docker and containerization.

Experience with UX and KPI dashboarding is a plus.

Languages & DevOps

Strong Python skills.

Strong SQL skills.

Experience with Git and version control.

Ability to write clean, well-documented, maintainable code.

Education

A Bachelor’s degree in a technology-related field is required. Relevant disciplines include: Computer Science

Data Science or Data Engineering

Software Engineering

Information Systems or Information Technology

Mathematics, Statistics, or a related quantitative field

Nice to Have

2+ years of experience in a consulting environment.

Experience with MLOps practices, including model monitoring, versioning, and deployment pipelines.

Familiarity with data governance and cloud security best practices.

Experience with orchestration tools such as Azure Data Factory.

What We Offer

A collaborative hybrid work environment with flexibility.

The opportunity to help build and shape a new Data & AI Enablement team from the ground up.

Exposure to cutting-edge AI and data technologies in a hands-on role.

Mentorship and growth pathways within a fast-moving data organization.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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