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About the RoleTechFlitter is looking for a seasoned AI/ML Operations Engineer to spearhead the deployment, development, and management of machine learning models and large language model systems. The role emphasizes ensuring operational excellence and system security within AI/ML projects. Key ResponsibilitiesMaintain adherence to established security protocols and industry best practices throughout infrastructure and deployment processes.Work collaboratively on continuous integration and continuous deployment (CI/CD) workflows leveraging Git and Jenkins tools.Architect, build, and continuously improve infrastructure solutions utilizing Kubernetes, Docker containers, and Terraform for infrastructure as code.Job RequirementsProven expertise in containerization technologies like Docker and orchestration platforms such as Kubernetes.Strong experience with infrastructure automation tools like Terraform and configuration management via Ansible.Familiarity with cloud computing services, particularly AWS and Google Cloud Platform (GCP).Hands-on experience managing CI/CD pipelines using Git and Jenkins.Understanding of security standards applicable to DevOps and AI/ML operational environments.Additional InformationPosition based in Ahmedabad, India.Eligible candidates must hold at least a graduate degree in any discipline.Annual salary offered ranges between INR 600,000 to 720,000. ResponsibilitiesGuarantee adherence to security standards and best practices.Participate in the creation and management of CI/CD pipelines using Git and Jenkins.Design, deploy, and fine-tune infrastructure through Kubernetes, Docker, and Terraform. RequirementsExpertise in Kubernetes and Docker container technologies.Proficiency in Terraform and Ansible for infrastructure and configuration management.Experience working with AWS and Google Cloud Platform cloud ecosystems.Familiarity with Jenkins and Git for CI/CD implementations.Knowledge of security compliance relevant to DevOps practices.Minimum graduation qualification in any field. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.