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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 take: 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.

One Glance

Sector
Private-mnc
விண்ணப்பிக்கும் முறை
Online-portal
Role
MLOps Engineer
Experience
Mid
Salary
₹2.5L–₹5L/mo
Location
Bengaluru
வேலை ஏற்பாடு
Hybrid
Deadline
6 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 5 வாரங்கள்.

Step 1
Free AI Basics
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
Confident-ஆ விண்ணப்பிக்கவும்
Teaches monitoring, evaluation, and debugging strategies for production AI models—directly relevant to W&B platform and observability work.

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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.

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