Machine Learning Engineer / MLOps Expert

Vrinda International; Bengaluru Urban; On-site; INR 2,070,000 - 2,530,000; Full time

Job summary

Vrinda International is seeking an experienced Machine Learning Engineer / MLOps Expert for Bangalore North, India. You will own ML lifecycle management, build production-grade AI deployments, and optimize cloud AI platforms with CI/CD automation.

The role requires 8-12 years of hands-on MLOps experience, strong AWS / multi-cloud skills, Apache Airflow, and model registry capabilities. Office-based role with collaborative, stakeholder-facing responsibilities.

Qualifications

• 8-12 years of hands-on MLOps experience.
• Experience with AWS and multi-cloud environments.
• Apache Airflow (Mandatory).
• CI/CD using GitHub Actions or similar tools.
• Model Registry, Versioning & Lifecycle Management.
• Experience with Machine Learning frameworks.

Responsibilities

• Will own ML lifecycle management and production-grade deployments.
• Collaborate with stakeholders to align ML solutions with business needs.
• Automate model deployment and monitoring pipelines using CI/CD.
• Maintain and improve ML tooling and infrastructure.

Skills

MLOps

AWS

CI/CD

Airflow

Model registry

ML frameworks

Stakeholder mgmt

Tools

GitHub Actions

Job description

Bangalore North, India | Posted on 07/17/2026

Welcome to Vrinda International's Talent Portal

Discover your next career milestone with Vrinda International, a leading recruitment firm specializing in IT talent acquisition, international education consultancy, and language coaching opportunities. Our portal streamlines your job search with cutting-edge Applicant Tracking System (ATS) technology.

Why Choose Us?

• Seamless Candidate Experience: Upload your resume, browse live openings in Java, Spring Boot, microservices, Angular, and more - or explore roles in global education programs (Germany, UK, France).
• Advanced Matching: Our AI-driven tools match your skills to top IT, business development, and overseas study consultancy positions.
• Easy Application Process: One-click apply, real-time status updates, and integration with LinkedIn for effortless profile imports.
• Exclusive Opportunities: Access hidden job markets, visa guidance for international roles, and personalized career coaching.

Job Description

? Experience: 8-12 Years

? CTC: Up to ₹23 LPA

? Work Mode: Work From Office

We are looking for an experienced Machine Learning Engineer / MLOps Expert with strong expertise in ML lifecycle management, cloud AI platforms, CI/CD automation, and production-grade AI deployments.

Requirements

• Strong hands-on experience in Machine Learning Operations (MLOps)
• Experience with AWS and Multi-Cloud environments
• Apache Airflow (Mandatory)
• CI/CD using GitHub Actions or similar tools
• Model Registry, Versioning & Lifecycle Management
• Experience with Machine Learning frameworks
• Excellent analytical, troubleshooting, and stakeholder management skills