Platform Engineer

7 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Company Details



We are an enterprise AI platform built specifically for supply chains, offering the best of both worlds . Out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfilment capacity, promising orders, propagating demand, building predictions, analyzing scenarios, and more, plu

sA platform-first approach that empowers both business and technical users with end-to-end composability—leveraging no-code tools, their own code, or even forking our code to build and refine decision intelligenc

eWith our platform, enterprises no longer have to choose between flexibility and speed—they get both


.Job Roles & Responsibiliti


The ML Platform Engine

ms.This role is remote, with collaboration expected across engineering and data science tea

  • ms.Develop and enhan

    ce ML platform compone

    nts usi

    ng Pyt

    hon a

    nd TensorFl

  • ow.Collaborate closely with data scientists to integrate algorithms into supply chain solutio
  • ns.Optimize ML models for real-time inventory allocation and operational efficien
  • cy.Design and implement scalab

    le A

    PIs to support platform integration across enterprise syste
  • ms.Build and mainta

    in automated testing framew

    orks to ensure software quality and reliabili
  • ty.Analyze, troubleshoot, and resolve platform issues in AI solutions for supply chain manageme
  • nt.Maintain detailed documentation f

    or ML componen

    ts and platform updat
  • es.Research and incorporate industry trends to improve platform capabilities and user experien


ce.Ideal candidate pro


  • file
    7+ years of professional experience in machine learning platform development or related fi
  • elds.Strong proficiency in Python and TensorFlow, with hands-on experience in ML model deploy
  • ment.Solid understanding of API design, software engineering best practices, and scalable system architect
  • ures.Experience with automated testing, debugging, and platform reliability pract
  • ices.Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kuberne


tes).Preferred Qualific


  • ations
    Experience building AI/ML solutions for supply chain or enterprise s
  • ystems.Knowledge of real-time data processing, scalable pipelines, and performance optimi
  • zation.Strong problem-solving skills and a collaborative m
  • indset.Excellent communication skills with the ability to explain complex ML concepts to cross-functional
  • teams.Enthusiasm for research and staying up-to-date with emerging AI techno


logies.

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