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SRKay Consulting Group logo — SRKay Consulting Group ML Ops Engineer in Bengaluru, Karnataka
SRKay Consulting Group VerifiedActively Hiring

ML Ops Engineer

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Location

Bengaluru, Karnataka

Work Mode

In Office

Duration

undefined months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

Machine Learning

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About the Internship

SRKay Consulting Group is hiring a ML Ops Engineer in Bengaluru. This is a live, verified opening on SRKay's own careers page — MyInternships.in lists it with the employer's own description and sends logged-in candidates straight to SRKay's official posting, so you never apply through a…

About SRKay Consulting Group

SRKay Consulting Group is hiring a ML Ops Engineer in Bengaluru — a live opening on the company's own careers page, listed here with the employer's own description and a direct application link for logged-in candidates.
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Bengaluru, KarnatakaVerified employer1 opening
Apply to SRKay Consulting Group

Skills Required

Apache Airflow / Cloud ComposerMLflowVertex AIBigQuery MLDocker & Kubernetes (GKE / AKS)TerraformPythonSpark / PySpark & CDCFastAPI / Flask Model ServingLLMOps & Vector Databases

Who Can Apply

  • Candidates with 3+ years of relevant experience for a ML Ops Engineer role, able to work from Bengaluru. SRKay's own requirements are reproduced in full above and are the ones that decide the screen. Familiarity with Apache Airflow / Cloud Composer, MLflow, Vertex AI is what the posting screens for.

Perks

Fast-track career growth with clear progression paths and mentorship programmes (as stated on SRKay's careers page)Diverse, global team across India and Southeast AsiaFlexible hours and comprehensive time-off policiesHybrid and remote work options available for some rolesDirect application to the employer — no middleman or third-party board

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Apply — submit your profile through SRKay's online portal
  2. 2Screen — initial review and comprehensive phone screening
  3. 3Interview — technical assessments and cultural-fit interviews
  4. 4Offer
0/month

Stipend · months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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