Senior Machine Learning Engineer

This role is for one of Weekday’s clientsSalary range: Rs 5000000 - Rs 7000000 (ie INR 50 - 70 LPA)Min Experience: 5+ yearsLocation: Noida, Uttar Pradesh, IndiaJobType: full-timeWe 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.RequirementsKey ResponsibilitiesBuild 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 QualificationsProduction 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 HaveHands-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 skillsPython, Machine LearningGood-to-have skillsArtificial Intelligence

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

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.