Job Description

MLOps Engineer Jobs in Hyderabad — Work Onsite | Up to ₹25 LPA

Role Overview

This role sits at the centre of a growing machine learning operation, focused on building and running the infrastructure that keeps production ML workloads fast, secure, and reliable. Rather than building models directly, this position is about the systems underneath them — the platform, pipelines, and infrastructure that let ML engineers ship and scale their work smoothly. Selected candidates will work onsite at Apple’s Hyderabad office, giving you direct exposure to large-scale ML inference systems within one of the world’s most recognised technology companies. Compensation for this role goes up to ₹25 lakhs per annum, depending on experience and interview performance.
MLOps has grown quickly as a distinct discipline over the past few years, separate from both traditional DevOps and pure ML engineering. Companies running machine learning at scale need people who can bridge the gap between infrastructure reliability and the unique performance demands of ML workloads, including GPU utilisation and inference latency. This role calls for 5 to 8 years of experience, which places it at a mid-to-senior level — enough hands-on platform engineering background to operate independently, while still growing into more specialised ML infrastructure work over time.

Work Environment & Team

Expect close, ongoing collaboration with ML engineers, since this role exists specifically to make their work easier to deploy and scale. Day-to-day work blends infrastructure automation, security response, and performance tuning, rather than sitting purely in one lane. Given the emphasis on production inference workloads, reliability and uptime carry real weight in this role — issues here can directly affect live systems serving real traffic, so a methodical, troubleshooting-focused mindset matters as much as raw technical skill.

Key Responsibilities

• Build, maintain, and optimise the production ML platform and deployment infrastructure.
• Manage CI/CD pipelines, deployment automation, and GitOps workflows.
• Administer Linux-based environments and troubleshoot complex platform issues.
• Optimise CPU/GPU utilisation, Kubernetes workloads, and overall system performance.
• Implement security best practices, including vulnerability remediation, patch management, and access control.
• Improve platform observability using metrics, logging, and monitoring.
• Partner with ML engineers to simplify model deployment and operational excellence.

Required Skills & Qualifications

• 5-8 years of experience in Platform Engineering, DevOps, or MLOps.
• Strong Linux administration (RHEL/Ubuntu), shell scripting, and Python.
• Hands-on experience with Kubernetes, Docker, Jenkins, Git, and GitOps workflows.
• Experience with AWS services, including EC2, EKS, IAM, and VPC.
• Knowledge of networking, Linux package management (RPM/DEB), Make/CMake, and system troubleshooting.
• Understanding of infrastructure security, patch management, and performance tuning.
• Bachelor’s degree in any stream of Engineering.

Preferred Skills

• Experience with GPU/CUDA environments, Prometheus/Grafana, Helm, or ArgoCD.
• Prior experience supporting large-scale ML inference or search platforms.

Frequently Asked Questions

Where is this MLOps Engineer role based?

This role is based in Hyderabad, with selected candidates working onsite at Apple’s Hyderabad office.

What is the salary for this role?

Compensation goes up to ₹25 lakhs per annum, depending on your experience and how the interview process goes.

What experience level does this MLOps Engineer role require?

This role calls for around 5 to 8 years of experience in Platform Engineering, DevOps, or MLOps, with strong hands-on Linux and Kubernetes skills.

Is this role focused on building ML models or platform infrastructure?

It’s focused on infrastructure, not model building — you’ll be responsible for the platform, pipelines, and systems that let ML engineers deploy and scale their models reliably.

What educational background is required?

A bachelor’s degree in any stream of engineering is required — this role is open beyond computer science backgrounds specifically.

Are GPU or CUDA skills required?

They’re listed as preferred rather than required, though experience with GPU/CUDA environments strengthens an application, especially for large-scale inference platforms.

Apply for This MLOps Engineer Role

If you enjoy solving infrastructure problems at scale and want your work to directly support machine learning systems in production at Apple’s Hyderabad office, this role is worth a closer look. Review the full requirements above and apply directly through the listing. If you are exploring other technical roles, our Software Jobs in India: Complete Guide for 2026 and Software Jobs listing page cover additional openings and career guidance worth considering.

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