Job Description

across D🚀 Hiring Alert: Sr. MLOps Engineer | Confidential Company

📍 Location: Open / Hybrid
💼 Experience: 5+ Years

We 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!

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🔍 Job Overview

This role focuses on designing a “Plug-and-Play” ML deployment framework that ensures scalability, reliability, security, and cost efficiency across ML solutions.

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🛠️ Key Responsibilities

🔹 Pipeline Architecture & Automation

✔️ Design and manage scalable ML pipelines using Azure ML, Databricks, PySpark
✔️ Build CI/CD pipelines using GitHub Actions with SonarQube integration
✔️ Develop reusable templates for streamlined ML deployments

🔹 Deployment & Orchestration

✔️ Containerize and deploy ML models using Docker & AKS (Kubernetes)
✔️ Design and manage secure APIs for ML model integration
✔️ Contribute to scalable and modular solution architecture

🔹 Optimization & Governance

✔️ Manage model lifecycle, monitoring, and data drift detection
✔️ Implement cost optimization strategies for compute-intensive workloads
✔️ Maintain comprehensive technical documentation

🔹 Collaboration

✔️ Act as a bridge between Data Science, DevOps, and IT teams
✔️ Ensure seamless model transition across Dev, QA, and Production

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🎯 Required Skills & Qualifications

✅ 5+ years of experience in MLOps / ML Engineering
✅ Strong expertise in Azure Machine Learning & Databricks
✅ Hands-on experience with AKS / Kubernetes & Docker
✅ Deep understanding of CI/CD & DevOps practices
✅ Experience with SonarQube or code quality tools
✅ Strong problem-solving and collaboration skills

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⭐ Preferred Qualifications

➕ Knowledge of solution architecture principles
➕ Azure Certifications (AI-900, DP-100, AZ-305)
➕ Experience in large-scale production ML deployments

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📩 Interested candidates can share their resume at:
📧 Bitts.India@gmail.com

📞 Contact: 9834898276

👉 Tag someone who would be a great fit or apply now!
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