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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 take: 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.

One Glance

Sector
Private-mnc
விண்ணப்பிக்கும் முறை
Online-portal
Role
MLOps Engineer
Experience
Mid
Salary
₹2.5L–₹5L/mo
Location
Bengaluru
வேலை ஏற்பாடு
On-site
Deadline
5 Jun 2026
கடைசியாக சரிபார்க்கப்பட்டது
2026-05-31T00:00:00.000Z

MLOps Engineer வேலைகளுக்கு தகுதி பெற free courses

இந்த வேலைக்குத் தேவையான course ladder — AIshala மூலம் சரிபார்க்கப்பட்ட free courses. மொத்தமாக 4 வாரங்கள்.

Step 1
Free AI Basics
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
Confident-ஆ விண்ணப்பிக்கவும்
Dives into model monitoring, evaluation metrics, and debugging — essential for the observability and monitoring systems you'll build.

Frequently Asked

இந்த வேலைக்கு நான் எப்படி விண்ணப்பிப்பது?

Page-ல் top-ல் உள்ள Intuit India இல் விண்ணப்பிக்கவும் button click பண்ணுங்கள் — இது company-யின் official application form-க்குப் போவுது. AIshala applications collect பண்ணாது — we directly connect you to the source.

இந்த வேலைக்கு இப்போ ஆட்கள் சேர்க்கப்படுகிறாங்களா?

Aamaa — हम हर listing verify करते हैं और closed positions remove करते हैं। Deadline (if set) top-ल्of the page पर दिखेगा। अगर कोई old listing दिखे, तो हमें Contact करो; we'll check it within 24 hours.

இந்த வேலைக்கு free courses எவை?

Top-ல் "Course Ladder" section பாருங்கள் — it's AIshala-verified free courses, sorted by the skills you actually need for this specific job. மாத்த prep time estimate each step-ல் உண்டு.

என் விண்ணப்பதுக்கு AIshala helps பண்ணுமா?

We don't guide individual applicants, but our City Chapters-ல் ambassadors + peer groups আছে who do informal application reviews. Chapter page-ல் உங்க city-க்கு가까い chapter খোঁজুন।

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