company-details

Sr. MLOps Engineer

Engineering

4 months ago

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Job Description

across D?? Hiring Alert: Sr. MLOps Engineer | Confidential Company\n\n?? Location: Open / Hybrid\n?? Experience: 5+ Years\n\nWe are hiring a Senior MLOps Engineer to build and manage scalable, high-performance machine learning infrastructure on Microsoft Azure. If you are passionate about bridging Data Science and Production Engineering, this role is for you!\n\n---\n\n?? Job Overview\n\nThis role focuses on designing a “Plug-and-Play” ML deployment framework that ensures scalability, reliability, security, and cost efficiency across ML solutions.\n\n---\n\n??? Key Responsibilities\n\n?? Pipeline Architecture & Automation\n\n?? Design and manage scalable ML pipelines using Azure ML, Databricks, PySpark\n?? Build CI/CD pipelines using GitHub Actions with SonarQube integration\n?? Develop reusable templates for streamlined ML deployments\n\n?? Deployment & Orchestration\n\n?? Containerize and deploy ML models using Docker & AKS (Kubernetes)\n?? Design and manage secure APIs for ML model integration\n?? Contribute to scalable and modular solution architecture\n\n?? Optimization & Governance\n\n?? Manage model lifecycle, monitoring, and data drift detection\n?? Implement cost optimization strategies for compute-intensive workloads\n?? Maintain comprehensive technical documentation\n\n?? Collaboration\n\n?? Act as a bridge between Data Science, DevOps, and IT teams\n?? Ensure seamless model transition across Dev, QA, and Production\n\n---\n\n?? Required Skills & Qualifications\n\n? 5+ years of experience in MLOps / ML Engineering\n? Strong expertise in Azure Machine Learning & Databricks\n? Hands-on experience with AKS / Kubernetes & Docker\n? Deep understanding of CI/CD & DevOps practices\n? Experience with SonarQube or code quality tools\n? Strong problem-solving and collaboration skills\n\n---\n\n? Preferred Qualifications\n\n? Knowledge of solution architecture principles\n? Azure Certifications (AI-900, DP-100, AZ-305)\n? Experience in large-scale production ML deployments\n\n---\n\n?? Interested candidates can share their resume at:\n?? Bitts.India@gmail.com\n\n?? Contact: 9834898276\n\n?? Tag someone who would be a great fit or apply now!\n#Hiring #MLOps #Azure #MachineLearning #Databricks #Kubernetes #DevOps #AIJobs #TechHiringev, QA, and Production

Key Responsibilities
??? Key Responsibilities\n?? Pipeline Architecture & Automation\n?? Design and manage scalable ML pipelines using Azure ML, Databricks, PySpark\n?? Build CI/CD pipelines using GitHub Actions with SonarQube integration\n?? Develop reusable templates for streamlined ML deployments\n?? Deployment & Orchestration\n?? Containerize and deploy ML models using Docker & AKS (Kubernetes)\n?? Design and manage secure APIs for ML model integration\n?? Contribute to scalable and modular solution architecture\n?? Optimization & Governance\n?? Manage model lifecycle, monitoring, and data drift detection\n?? Implement cost optimization strategies for compute-intensive workloads\n?? Maintain comprehensive technical documentation\n?? Collaboration\n?? Act as a bridge between Data Science, DevOps, and IT teams\n?? Ensure seamless model transition
Skill & Experience
  • Azure
  • MLOps
  • AI/ML
  • Databricks
  • Docker
  • Kubernetes
  • monitoring
  • DevOps
Job Overview

Date Posted:

7th Apr, 2026

Expiration date:

31st Aug, 2026

Location:

Bengaluru , Karnataka, India

Job Type:

IT

Job Shift:

Fixed Shift

Functional Areas:

IT Support

Positions:

0

Job Experience:

8 Year

Salary Period:

Monthly Pay Period