# Senior Machine Learning Engineer

> Weekday AI · Noida, India · Full-time · Posted 2026-07-16

**Salary:** INR 5,000,000–7,000,000

**Workplace:** on_site

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

## Description

**This role is for one of the 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

As a core engineer in a brand-new **0-to-1 vertical build**, you will design, build, and ship production-grade, LLM-powered systems tailored for personalized learning in Indian languages and local educational contexts. You will own applications end-to-end: RAG pipelines, agentic workflows, evaluation harnesses, and the production microservices that serve them.

We maintain a strict bar for **robust software engineering**, not just prompt crafting or notebook experimentation. This role requires high ownership, comfort with ambiguity, and hands-on execution during our early vertical setup phase.

## Requirements

### **Key Responsibilities**

**Production LLM Pipelines:** Architect and deploy robust LLM applications (RAG architectures, multi-step agentic workflows, and tool-calling systems) for use cases like automated question answering, adaptive feedback, and curriculum alignment.

**Full-Stack ML Systems:** Own data pipelines, retrieval layers, orchestration layers, APIs, and service infrastructure—written as clean, maintainable, and thoroughly tested production code.

**Rigorous Evaluation Frameworks:** Build task-specific benchmarks, regression testing, human-in-the-loop evaluation loops, and automated quality gates to systematically prevent model degradation.

**Latency & Cost Engineering:** Implement prompt optimization, caching strategies, request batching, and model routing to ensure production systems remain fast and financially viable at a population scale.

**Indic Language Grounding:** Build and scale data preparation pipelines for instruction data, with a specific focus on multilingual and Indic language sources.

### **Technical Profile Required**

### **Must-Have Skills:**

**Production-Grade Python:** Strong background in writing clean, modular, and tested Python code. Experience owning live services in production is non-negotiable (no notebook-only engineers).

**RAG & Agent Orchestration:** Deep experience building and shipping RAG or agentic systems using production-proven frameworks (e.g., LangChain, LangGraph, or custom equivalents), with strong tool-calling and multi-step reasoning design.

**Automated Evaluation:** Track record of building scientific evaluation workflows, systematic regression testing, and quality monitoring for LLM outputs.

**Backend Integration:** Practical experience with API development, backend data pipelines, and cloud deployment infrastructure.

### **Good-to-Have Skills:**

**Model Fine-Tuning:** Hands-on experience with LoRA, QLoRA, SFT, or DPO preference optimization.

**Inference Optimization:** Experience reducing latency and serving costs via quantization (AWQ/GPTQ), ONNX compilation, or serving frameworks like vLLM/TGI.

**Distributed Frameworks:** Familiarity with DeepSpeed or FSDP for handling training datasets at scale.

### **What We Offer**

**Population-Scale Impact:** Directly shape how millions of children across India learn and thrive within public education systems.

**Autonomy of a 0-to-1 Build:** Enjoy the agility and growth potential of building a team and product from scratch, backed by the stability of a highly successful, profitable parent company.

**Comprehensive Benefits:** Competitive compensation package, supportive work culture, and employee-centric health insurance benefits.

### Must-have skills

Python, rag, llm

### Good-to-have skills

peft, Quantization, onnx

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/4E48B028E4/apply)

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