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HashedIn logo — HashedIn MLOps Intern in Bengaluru, Karnataka, India
HashedIn VerifiedActively Hiring

MLOps Intern

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Location

Bengaluru, Karnataka, India

Work Mode

Hybrid

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹0/mo

About the Internship

HashedIn 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 develop the exact…

About HashedIn

About HashedIn HashedIn is a technology employer with a significant presence in Bengaluru, hiring interns and students for Software Development roles. HashedIn & Data / Technology HashedIn works within the Information Technology space, applying data, analytics and engineering to deliver quality…
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Bengaluru, Karnataka, IndiaVerified employer3 openings
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Skills Required

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

Perks

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 HashedIn 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.
0/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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