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Open nowPosted 75 days ago

Machine Learning Engineer

INFINITE LOCUS PRIVATE LIMITED55 open roles

Where
Gurgaon
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Your applicationOpen nowMachine Learning EngineerINFINITE LOCUS PRIVATE LIMITED · Gurgaon
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This job: posted 75 days ago

The posting

Applied AI / LLM Systems Engineer

Location: Gurgaon

Team: AI/ML

Role Overview

We are looking for a highly skilled Applied AI Engineer to build and deploy production-grade AI systems across forecasting, data intelligence, and LLM-powered automation.

This role focuses on designing agentic AI systems, data pipelines, and predictive models that directly power business decision-making. You will work on building systems such as price intelligence engines, automated data pipelines, forecasting models, and LLM-powered decision agents.

The ideal candidate combines strong ML fundamentals, software engineering rigor, and experience deploying AI systems in production.

Key Responsibilities

Build Production AI Systems

  • Design and deploy LLM-powered agent systems using frameworks like LangGraph, AutoGen, or LangChain
  • Build AI pipelines integrating structured data, APIs, and external sources
  • Implement RAG architectures for knowledge-driven applications

ML Infrastructure & Deployment

  • Deploy models using:
  • Docker
  • Kubernetes
  • FastAPI
  • AWS / GCP
  • Build scalable ML pipelines
  • Implement model monitoring and performance tracking

AI Product Development

  • Convert business problems into AI-driven solutions
  • Build decision-support tools powered by ML models
  • Work closely with leadership to implement AI-first workflows

Required Skills

Core AI / ML

  • Strong experience with Python
  • Machine learning frameworks:
  • PyTorch
  • Scikit-learn
  • LightGBM / XGBoost
  • Experience building time-series forecasting models

LLM Systems

  • Experience building applications with:
  • LangChain
  • LangGraph
  • AutoGen
  • Experience with RAG architectures
  • Familiarity with open-source models such as:
  • LLaMA
  • Mistral
  • Mixtral

Data Engineering

  • SQL and data modeling
  • ETL pipeline development
  • Web scraping and API integrations

Infrastructure

  • Docker
  • Cloud platforms (AWS/GCP/Azure)
  • CI/CD pipelines

Good to Have

  • Experience with agentic AI systems
  • Vector databases (Pinecone, Weaviate, FAISS)
  • Experience with price optimization systems
  • Experience building data products or internal AI tools

Ideal Candidate Profile

  • 3–5 years of experience in ML/AI engineering
  • Strong programming and system design skills
  • Experience shipping AI systems to production
  • Ability to translate business problems into AI solutions
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