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MLOps Engineer — Intuit India
T1
Intuit India

MLOps Engineer — Intuit India

Intuit India is hiring MLOps Engineers. ₹30-60 LPA. Bengaluru. Eligibility: 4+ years MLOps. Required: Python, K8s, model monitoring, ML lifecycle automation. Direct apply.
private-mnc
MLOps Engineer
mid
on-site

Quick answer: Intuit India MLOps Engineer role in Bengaluru, ₹30–60 LPA. Requires 4+ years MLOps expertise: Python, Kubernetes, model monitoring, ML automation. Direct application via online portal. Permanent position, on-site.

About this MLOps Engineer role at Intuit India

Intuit, a global leader in financial management software, is hiring MLOps Engineers in Bengaluru for mid-level professionals ready to scale AI systems in production. This is a permanent on-site role where you'll own the infrastructure, monitoring, and automation that keeps machine learning models running reliably. For MLOps Engineer roles in India's AI-driven tech sector, this is a direct-apply opportunity with competitive compensation.

What you'll do

  • Automate and optimize the machine learning lifecycle — from model training pipelines to deployment and versioning
  • Design and maintain Kubernetes-based infrastructure to scale ML workloads reliably and efficiently
  • Build monitoring and observability systems to track model performance, data drift, and system health in production
  • Write Python automation scripts to streamline CI/CD workflows, reduce manual deployment overhead, and ensure reproducibility
  • Collaborate with data scientists and engineers to operationalize models and maintain model registry best practices

Who should apply

You need at least 4 years of hands-on MLOps or ML engineering experience. This role is for mid-level engineers who understand Kubernetes, Python, and the end-to-end ML workflow — not freshers or junior developers. You should be comfortable troubleshooting production systems and have shipped ML models or infrastructure to real users.

Salary & offer in context

Intuit offers ₹30–60 LPA (approximately ₹2.5–5 lakhs per month). For a mid-level MLOps Engineer in Bengaluru, this aligns with private-sector AI roles in India's top-tier companies and reflects strong demand for infrastructure expertise in the machine learning space. MLOps Engineer salaries in India typically range ₹25–80 LPA depending on years and specialization.

Path to apply

This is a direct application through Intuit's online careers portal — no exam or screening test required. Visit careers.intuit.com, search for the MLOps Engineer role in Bengaluru, and apply directly. The application deadline is June 5, 2026, so act soon if this matches your profile.

At a glance

Sector
Private-mnc
Apply mode
Online-portal
Role
MLOps Engineer
Experience
Mid
Salary
₹2.5L–₹5L/mo
Location
Bengaluru
Arrangement
On-site
Deadline
5 Jun 2026
Last verified
31 May 2026

Free course ladder to qualify for MLOps Engineer roles

AIshala-vetted free courses sequenced for this role. Total prep time: 4 weeks.

Step 1
Free AI foundations
Covers ML lifecycle automation, model deployment, and operational best practices — the core MLOps skills this role demands.
Step 2
Practice + portfolio
Teaches cloud infrastructure and ML services; complements Kubernetes knowledge and prepares you for production ML workflows.
Step 3
Apply with confidence
Dives into model monitoring, evaluation metrics, and debugging — essential for the observability and monitoring systems you'll build.

Frequently asked questions

How do I apply for this role?

Click Apply on Intuit India at the top of this page to go to the employer's official application form. AIshala does not collect applications — we link you directly to the source.

Is this role actively hiring?

Yes — we verify every listing and remove closed positions. The deadline (when set) is shown in the badge at the top. If you spot a stale listing, flag it via Contact and we'll review within 24 hours.

What free courses prepare me for this role?

Browse the course ladder section above — these are AIshala-vetted free courses sequenced for this specific role's skills. Estimated total prep time is shown next to each step.

Will AIshala help me with my application?

We don't directly mentor applicants, but our City Chapters have ambassadors and peer groups who do informal application reviews. Find your nearest chapter on the Chapters page.

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