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Fireblaze AI School logo — Fireblaze AI School MLOps Intern at Fireblaze AI School
Fireblaze AI School

MLOps Intern

InternshipHybridBengaluru, Karnataka, India3 months3 openingsImmediate / Rolling

About this internship

Fireblaze AI School has an exciting opening for a MLOps Intern in Bengaluru, ideal for freshers and final-year students eager to learn by doing. Over the internship you will focus on automating the training, deployment and monitoring of ML models, collaborate with cross-functional teams, and…

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Skills you'll use

PythonDockerMLflowCI/CDKubernetes BasicsCloud (AWS/GCP)Model DeploymentMonitoringGitAirflowBashProblem Solving

What you'll do

  • Build CI/CD pipelines for training and deploying ML models
  • Containerise and serve models as scalable APIs
  • Set up experiment tracking, model registry and versioning
  • Monitor models in production for drift and performance
  • Document infrastructure and ML workflows
  • Document work clearly and act on feedback

Who can apply

  • Pursuing or recently completed a degree in CS/IT/Statistics/Maths/Data Science or related
  • Foundational knowledge of Python, Docker, MLflow, CI/CD
  • Strong analytical thinking, communication and a proactive attitude
  • Ability to work in a team and meet deadlines
  • Based in or open to working from Bengaluru

Perks & benefits

Internship CertificateLetter of RecommendationMentorshipReal-World Data Project ExperiencePre-Placement Offer (PPO) OpportunityFlexible HoursPaid Stipend

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1The selection process for the MLOps Intern at Fireblaze AI School is structured, merit-based and typically involves 3 evaluation rounds followed by an HR discussion (about 4 stages in total): Round 1: Online Application & Resume Screening — apply through the verified link on this page; profiles are shortlisted on fundamentals and fit Round 2: Online Assessment / Aptitude — a test covering statistics, SQL, Python and basic machine learning concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Docker, MLflow and problem-solving Round 4: HR Discussion — role expectations, stipend, start date and offer The process is designed to assess your fundamentals, problem-solving ability and communication rather than rote knowledge. There are no charges at any stage. Shortlisted candidates are contacted through the official careers channel after they apply via the link on this page.

About Fireblaze AI School

About Fireblaze AI School Fireblaze AI School is the education and upskilling arm of Fireblaze Technologies, which was founded in April 2018 with a vision to train and up-skill learners in emerging technologies, particularly data science, data analytics, and artificial intelligence. Headquartered…
Visit Fireblaze AI School’s official website ↗

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