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4 Weeks ago

Senior Devops Engineer - AIOps

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Hyderabad, Telangana, India
Information Technology
Full-Time
HID

Overview

An Amazing Career Opportunity for Senior DevOps Engineer – AI OPS

Location: Chennai, India (Hybrid)

Job ID: 37986

Profile Summary:

We’re looking for a detail-oriented and proactive ML Ops Engineer to join our corporate data science team, part of the CTO’s Office at HID Global. In this role, you’ll be a key bridge between data science and production, responsible for automating, scaling, and monitoring machine learning models and data pipelines. You’ll help turn experiments into robust, secure, and maintainable services deployed across our cloud environments.

About HID Global

HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses, and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo

LinkedIn: www.linkedin.com/company/hidglobal/mycompany/

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

As our ML Ops Engineer, you’ll support HID’s success by:

  • Collaborating with data scientists and engineers to deploy and scale ML models to production
  • Building and maintaining automated data and model pipelines using modern orchestration frameworks
  • Implementing CI/CD pipelines for ML workflows, ensuring traceability, reproducibility, and compliance
  • Monitoring model performance, data drift, and system health in production environments
  • Managing infrastructure-as-code and cloud services to support scalable ML deployments
  • Helping shape the architecture and tooling for ML experimentation and deployment

Roles & Responsibilities include the following (Other duties may be assigned):

Your Experience and Background include:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
  • 5+ years of experience in software engineering or DevOps, with at least 1+ years in ML Ops
  • Proficient with ML lifecycle tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)
  • Experience with data pipeline orchestration tools (e.g., Airflow, Prefect, Dagster)
  • Strong understanding of Docker, Kubernetes, and infrastructure automation (e.g., Terraform, CloudFormation)
  • Hands-on experience with cloud platforms like AWS, GCP, or Azure
  • Solid programming skills in Python; familiarity with data and ML libraries
  • Experience implementing monitoring, alerting, and logging systems for ML workloads
  • Bonus: Familiarity with LLM deployment, vector databases, or real-time inference pipelines

Education and/or Experience:

  • Bachelor’s or master’s degree in computer science, Engineering, or a related technical field
  • 5+ years of experience in software engineering or DevOps, with at least 1+ years in ML Ops.

What we can offer you:

  • Competitive salary and rewards package
  • Competitive benefits and annual leave offering, allowing for work-life balance
  • A vibrant, welcoming & inclusive culture
  • Extensive career development opportunities and resources to maximize your potential
  • To be a part of a global organization pioneering the hardware, software, and services that allow people to confidently navigate the physical and digital worlds.

Why apply?

  • Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply.
  • Innovation: You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers.
  • Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted.

This opportunity may be open to flexible working arrangements.

HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation.

We make it easier for people to get where they want to go!

On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it.

When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

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