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MLOps Engineer — Weights & Biases India
T1
Weights & Biases

MLOps Engineer — Weights & Biases India

Weights & Biases is hiring MLOps Engineers for India team. ₹30-60 LPA. Bengaluru / remote. Eligibility: 3+ years MLOps. Required: W&B platform expertise, Kubernetes, monitoring, ML lifecycle automation. Direct apply.
private-mnc
MLOps Engineer
mid
hybrid

Quick answer: Weights & Biases seeks MLOps Engineers in Bengaluru/remote. ₹30–60 LPA. Requires 3+ years MLOps, W&B platform expertise, Kubernetes. Direct apply online. Core AI infrastructure role.

About this MLOps Engineer role at Weights & Biases

Weights & Biases is a world-class AI and machine learning platform company, and they're expanding their India team in Bengaluru with MLOps Engineer positions. This is a direct-apply, permanent role for mid-level engineers who want to shape how AI models are trained, deployed, and monitored at scale in one of India's top private AI companies.

What you'll do

  • Design and maintain production ML workflows using Kubernetes and containerized environments to automate model training, validation, and deployment pipelines
  • Build monitoring, observability, and debugging systems for machine learning models in production using the Weights & Biases platform and related tools
  • Automate the full ML lifecycle—from data ingestion through model evaluation—using CI/CD practices and infrastructure-as-code principles
  • Optimize resource allocation, cost, and performance across distributed ML infrastructure and training clusters
  • Collaborate with data science and engineering teams to operationalize machine learning models and reduce time-to-production

Who should apply

You need 3+ years of hands-on MLOps experience, with proven expertise in Kubernetes, CI/CD pipelines, and ML systems design. Mid-level engineers with a track record of deploying and monitoring production ML systems are the right fit. You should be comfortable working with containerization, cloud infrastructure, and the Weights & Biases ecosystem. This role is permanent and based in Bengaluru (with hybrid flexibility), offering direct-apply access—no exam required.

Salary & offer in context

Weights & Biases offers ₹30–60 LPA (₹2.5–5 lakh per month) for this MLOps Engineer role in Bengaluru. For mid-level MLOps engineers in India, this is competitive with top private-sector and MNC offerings, reflecting the demand for specialized AI infrastructure expertise.

Path to apply

This is a direct-apply position through Weights & Biases' online careers portal—no exam, no written test, just your resume and experience. Apply online at wandb.ai/site/careers. The application deadline is June 6, 2026, so submit soon to secure your spot in one of India's most respected AI companies.

At a glance

Sector
Private-mnc
Apply mode
Online-portal
Role
MLOps Engineer
Experience
Mid
Salary
₹2.5L–₹5L/mo
Location
Bengaluru
Arrangement
Hybrid
Deadline
6 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: 5 weeks.

Step 1
Free AI foundations
Teaches end-to-end ML lifecycle automation, CI/CD for models, and deployment practices—the core MLOps foundation this role demands.
Step 2
Practice + portfolio
Covers cloud infrastructure, containerization, and ML systems on production—essential for Kubernetes and distributed training environments.
Step 3
Apply with confidence
Teaches monitoring, evaluation, and debugging strategies for production AI models—directly relevant to W&B platform and observability work.

Frequently asked questions

How do I apply for this role?

Click Apply on Weights & Biases 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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