# Senior Machine Learning Engineer

> Weekday AI · Noida, India · Full-time · Posted 2026-08-17

**Salary:** INR 5,000,000–7,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 5000000 - Rs 7000000 (ie INR 50 - 70 LPA)**

  
Min Experience: 5+ years  
Location: Noida, Uttar Pradesh, India  
JobType: full-time

We are hiring for a high-impact, AI-native education infrastructure organization that operates across government (B2G) and enterprise (B2B) sectors. Their platforms power intelligent learning systems, adaptive digital classrooms, and AI-driven governance tools reaching over 150 million children across India.

This role is part of a **0-to-1 vertical build**, offering a high degree of ownership, rapid iteration, and direct contribution to a mission-driven, population-scale AI infrastructure.

## Requirements

### Key Responsibilities

**Build Production LLM Systems:** Design, build, and deploy production-grade LLM applications, including Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and tool-calling systems tailored for education use cases (e.g., adaptive feedback, automated Q&A, and curriculum alignment).

**End-to-End System Architecture:** Own full backend and AI service architectures—from data pipelines and retrieval layers to orchestration APIs and deployment infrastructure—using clean, maintainable, and tested production code.

**LLM Evaluation & Monitoring:** Build rigorous evaluation harnesses, task-specific benchmarks, automated regression tests, and human-in-the-loop validation frameworks to guard quality before release.

**Latency & Cost Optimization:** Implement caching, request batching, prompt-context optimization, and model routing to ensure fast, scalable, and cost-effective production deployment.

**Data & Model Integration:** Build grounding and instruction data pipelines for multilingual and regional contexts. Evaluate and integrate open-source, closed, and sovereign LLMs into production serving frameworks.

### Key Qualifications

**Production Engineering:** Strong Python software engineering skills with experience writing production-grade, maintainable code (beyond notebooks and scripts) and owning cloud services end-to-end.

**RAG & Agentic Systems:** Hands-on experience building and shipping RAG or agentic systems in production using frameworks like LangChain, LangGraph, or equivalent orchestration platforms.

**Evaluation Frameworks:** Proven track record in building automated LLM evaluation systems, benchmark suites, and quality monitoring pipelines.

**Backend & Cloud Infrastructure:** Strong experience in backend engineering (REST APIs, data pipelines, containerized deployment, and cloud infrastructure) for serving ML/LLM models at scale.

### Good to Have

Hands-on model fine-tuning experience (LoRA, QLoRA, SFT, DPO).

Experience with inference optimization (quantization, ONNX, efficient serving) or distributed training frameworks (DeepSpeed, FSDP).

### Why Join?

Work on high-ownership, 0-to-1 AI product development with immense scale and real-world impact.

Competitive compensation package with comprehensive benefits.

High-growth, collaborative environment building state-of-the-art public AI systems.

### Must-have skills

Python, Machine Learning

### Good-to-have skills

Artificial Intelligence

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/05B2A5FC50/apply)

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