FarEye

MLOps Intern

InternshipHybridPurnia, Bihar6 months20K/mo3 openingsImmediate / Rolling

About this internship

Join FarEye in Purnia as a MLOps Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on MLOps work. About the role As a MLOps Intern at FarEye, your core focus will be building the pipelines that get…

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Skills you'll use

PythonDockerKubernetes BasicsCI/CDMLflowModel DeploymentFeature StoresModel MonitoringCloud (AWS/GCP/Azure)Data Pipelines

What you'll do

Work on building the pipelines that get models trained, deployed and monitored alongside the core team
Apply Python, Docker, Kubernetes Basics, CI/CD to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech/M.Tech/MCA/M.Sc (CS, Statistics, Maths) — 2026 freshers & final-year students welcome
Working knowledge of Python, Docker, Kubernetes Basics (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Purnia, Bihar

Perks & benefits

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment

About FarEye

FarEye operates in the logistics saas sector and has an active presence in Purnia. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work…

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